Science method

Genome Sequencing - Science method

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Questions related to Genome Sequencing
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Hello all,
I would like to ask you if anyone has experienced to use more than one year old sample for whole mitochondrial genome sequencing using Nanopore.
How old is too old for ONT sample?
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It depends on the buffer that was used in storing the DNA as well as temperature. DNA samples that have undergone repeated thawing and freezing may not be ideal.
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For researchers in molecular biology and genetic engineering, I would like to know the most successful genome sequencing technique(s) currently used worldwide?Thanks in advance.
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Dear Dr. Fetta Mehouel
I feel Next-generation sequencing (NGS) is currently most popular. The global next-generation sequencing market size was valued at USD 8.30 billion in 2023. The market is projected to grow from USD 9.29 billion in 2024 to USD 27.55 billion by 2032. Please refer to the article attached below.
It all started with the first-generation technology represented by Sanger sequencing, which was largely superseded by newer, higher-throughput sequencing technologies. The second generation introduced massively parallel sequencing with platforms such as Illumina and Ion Torrent, enabling high-throughput sequencing. Among the second-generation sequencing platforms,
1) Roche’s 454 sequencing method, which relies on pyrosequencing, where the sequence is determined by detecting the release of pyrophosphate when nucleotides are added to the DNA template, and
2) Illumina sequencing platform which utilizes a sequencing-by-synthesis method based on reversible dye terminators.
have emerged as the widely used second-generation sequencing platforms.
Third-generation sequencing technologies represent the latest advancements in DNA sequencing, offering new approaches that overcome the limitations of previous generations.
1) PacBio Sequencing, which uses a single-molecule, real-time (SMRT) approach with fluorescently labeled nucleotides, enabling long-read sequencing of DNA fragments up to tens of kilobases in length and
2) Oxford Nanopore sequencing, based on nanopore technology, where a single-stranded DNA molecule passes through a nanopore, and changes in electrical current are measured to determine the DNA sequence.
You could use Sanger sequencing when interrogating a small region of DNA on a limited number of samples or genomic targets. But NGS will allow you to screen more samples cost-effectively and detect multiple variants across targeted areas of the genome, which otherwise would be costly and time-consuming using Sanger sequencing.
Regards,
Malcolm Nobre
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I am a PhD student, currently studying yeast endobacteria. The endobacteria our group work with are however cultivable although their genome sizes are significantly cut to half. The genome sequences of those endobacteria include some gaps. How to understand whether this reduction in genome size is due to gaps obtained while sequencing or evolution? Maybe this is a naive question but I will be really happy if you guide me through this.
Thanking you in advance.
Sincerely,
Trina Roychoudhury
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  1. One why to start could be the phylogeny and lineage of you bacteria
  2. Second would be the resequencing and comparative genomics
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I want to know the completeness and contamination level of bacterial genome sequence. I have the assembled FASTA file of the bacterial genome sequence. Are there any online tools where I can upload my FASTA file and directly can find the completeness and contamination level?
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CheckM is the tool. You can access CheckM through KBase.
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I have extracted historic DNA from animal tissue using the Qiagen DNeasy kit and eluted the DNA in the provided elution buffer, which contains EDTA. I will perform whole genome sequencing on an Illumina platform. Because of the low DNA yield, I will utilize the TrueSeq Nano or Microplex prep kit. These library prep kits are sensitive to EDTA. I must therefore cleanup the extracts and use an EDTA-free elution buffer. What approach should I use for the cleanup? 
I will avoid AMPure cleanup due to the small peak sizes (<150 bp) in my DNA templates. Grateful for all suggestions!  
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Jarl A Anmarkrud Hi can you assist in what worked with you? I have the same issue in some bacterial samples
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I want to know the completeness and contamination level of bacterial genome sequence. I have the assembled FASTA file of the bacterial genome sequence.
Are there any online tools where I can upload my FASTA file and directly can find the completeness and contamination level?
Thanks in advance
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I want to know the completeness and contamination level of bacterial genome sequence. I have the assembled FASTA file of the bacterial genome sequence.
Are there any online tools where I can upload my FASTA file and directly can find the completeness and contamination level?
Thanks in advance
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Dear Yu Chyuan Heng,
Thank you so much for the information.
I got it from the NCBI Genome Assembly page.
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I am trying to map Illumina data to rotavirus genome. But I noticed that mapping to different reference genomes results in some variations in the consensus sequence. Any suggestion? Should I discard genome regions with low coverage? If yes, then what is considered low coverage? 
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Mapping and assembling viral genomes from Next-Generation Sequencing (NGS) data are critical steps in virology research, enabling the understanding of viral evolution, pathogenicity, and resistance mechanisms. The process requires a strategic approach to accurately reconstruct the viral genome from the short reads generated by NGS platforms. This task can be challenging due to the high mutation rate of viruses and the presence of host DNA in the samples. The following methodological framework outlines an effective strategy for mapping and assembling viral NGS data:
1. Quality Control and Preprocessing
  • Initial Quality Assessment: Utilize tools such as FastQC to evaluate the quality of raw sequencing reads. Assess metrics like base quality, sequence quality scores, and the presence of adapters.
  • Read Trimming and Filtering: Apply tools like Trimmomatic or Cutadapt to trim adapters and remove low-quality bases from the reads. Filter out reads below a quality threshold to ensure that only high-quality data is used for assembly.
2. Host DNA Subtraction (If Applicable)
  • Alignment Against Host Genome: To reduce the complexity of data and improve assembly accuracy, align the reads to the host organism's genome using aligners such as BWA or Bowtie2. Remove any reads that map to the host, retaining only those likely to originate from the virus.
3. Choice of Assembly Approach
  • De Novo Assembly vs. Reference-Based Assembly: Choose between de novo assembly and reference-based assembly based on the objectives and the nature of the viral genome.De Novo Assembly is preferred when the viral strain is novel or significantly divergent from known sequences. Tools like SPAdes or Megahit can be used for this purpose. Reference-Based Assembly is advantageous for well-characterized viruses or when a closely related reference genome is available. This can be done using tools like BWA for mapping, followed by SAMtools for sorting and generating a consensus sequence.
4. Assembly and Consensus Sequence Generation
  • Assembly: Use the selected assembly approach to construct the viral genome. Ensure to optimize parameters specific to the viral genome size and complexity.
  • Consensus Sequence Generation: For reference-based approaches, generate a consensus sequence from the alignment, considering base call frequencies to account for viral diversity and potential mutations.
5. Validation and Error Correction
  • Validation: Validate the assembled genome by checking coverage uniformity and depth across the genome using tools like QualiMap or IGV. High variability in coverage may indicate assembly issues or mixed infections.
  • Error Correction: Apply error correction tools or manually inspect and correct regions with ambiguities or misassemblies, especially in regions of high importance like open reading frames.
6. Annotation and Further Analysis
  • Annotation: Annotate the assembled genome to identify genes, protein-coding regions, and other functional elements using tools like Prokka or custom databases relevant to the virus of interest.
  • Comparative Genomics: Compare the assembled genome with reference sequences to identify mutations, recombination events, or phylogenetic relationships.
Conclusion
Successfully mapping and assembling viral genomes from NGS data requires meticulous quality control, strategic selection between de novo and reference-based assembly approaches, and rigorous validation of the assembled sequences. This process not only demands proficiency with bioinformatics tools and workflows but also a deep understanding of the biology of the virus and the host, if applicable. By following this comprehensive approach, researchers can achieve high-quality, accurate viral genome assemblies that are crucial for advancing our understanding of viral genetics and epidemiology.
This list of protocols might help us better address the issue.
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Hi everyone,
I am a PhD student exploring various genome sequencing approaches and NGS platforms before settling on one for my research. While searching WGS info, I found nothing helpful about the computational resources (hardware, software)required for WGS analysis so reaching out to the RG community if someone can share their experience, I'd be grateful to you. Thanks.
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Hey,
I work in bacterial genomics and currently facing problems in doing different analyses, and my genome size is around 7-8 Gb. My hardware has 8GB memory and 1TB hard drive. So, I'll suggest you equip at least 16GB of memory along with using the galaxy.org website for NGS analyses. This combination will definitely help.
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Hello,
I am working on viral metagenomics and have started using the High Throughput Sequencing reads for virus genome assembly. Since, I am at the beginner level, I have some confusions. As these are metagenomics samples with unknown viruses, I run de novo assembly of the sequencing reads for getting contigs followed by reference mapping of the reads against the longest contig first with iterative assembly to extend contigs at the ends in Geneious. After that, the extended contigs are aligned with the closest reference sequence for final genome assembly. My confusion is- how can I make it sure that the contig extension was performed correctly (no missassembly). Also, when it comes about visual inspection of contig vs reference sequence alignment, what are the things I need to pay attention for getting a reliable genome assembly? I aligned an extended contig to the closely related reference sequence and it seems that the contig covers only 8-10% of the genome sequence and there are early stop codons in the contig which does not make sense to me as blastn search showed 60% nucleotide identity of the contig with the reference sequence before contig extension. I am under the impression that there is something wrong in the contig extension step. Can you please share your experience of genome assembly using both de novo contigs and reference mapping? Thanks a lot for your time and help!
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I think you should prepare a de-nova assembly without a reference genome. after that, you will check assembly completeness and verify the assembly alignment score with any reference.
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Imagine you have a whole genome shotgun (WGS) sequence of a bacterium. You want to identify what species it is, based on this genome sequence, but various softwares give different results. Which software would you trust the most and why ? Preferably, choose between RAST, PATRIC-BRC, KmerFinder and TYGS, please.
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I recomend GTDB-tk (https://github.com/Ecogenomics/GTDBTk), which is based on ANI tree versus a bacterial genomes database.
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I would like to sequence bovine mitochondrial genome. Please let me know which sample( blood or other tissues) is best to isolate mitochondrial genes. 
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To isolate mitochondrial DNA for sequencing the bovine mitochondrial genome, various tissue types can be used. The choice of tissue for isolating mitochondrial DNA depends on the specific research objectives and the availability of the samples. Skeletal muscle is a rich source of mitochondria and is often used for isolating mitochondrial DNA. The liver is another organ with a high mitochondrial content, and it can be used for isolating mitochondrial DNA. While blood contains fewer mitochondria compared to tissues such as muscle and liver, it is a convenient source for mitochondrial DNA isolation. Blood samples are relatively easy to collect and store, making them a practical choice for certain research applications.
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We have obtained partial sequence data from a bacteria and there are assembled contigs of around 24000 nucleotides.
How can I find all the genes coded on both strands of DNA? I use UGENE and found many orfs in there but searching one by one what are they is too much. Is there an easy way to find and annotate all the protein coding regions automatically?
Thanks
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Many annotation tools are available : prokka, bakta, ncbi pgap
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Dear all,
In my current project I have to analyze the whole genome of a bacteria. Oxford nanopore MinION sequencing platform was used to get the genome sequence.
Please guide me on the protocol to analyze the raw data and extract mean information.
Thanks a lot in advance
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First, it is essential to preprocess and clean your sequence reads. Second, you should align or map these cleaned reads to a reference genome. Subsequent steps in the analysis process depend on the specific research objectives. These may include Variant Calling, Comparative Genomics, Functional Genomics, Pathway and Network Analysis, among others. In some cases, studies may necessitate the integration of multiple 'omics' approaches.
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Greetings everyone.
During my master's research, I focused on exploring the potential of a specific bacterial strain to produce antibacterial compounds. To achieve this, I used the technique of liquid-liquid fractionation (Extraction) using butanol for the bacterial culture broth. Then, I subjected the supernatant to freeze-drying and further dissolved a portion of the butanol crude extract in methanol for analysis using GC-MS. The results revealed the presence of two secondary metabolite compounds, notably beta-carboline and cyclo-l-proline-l-leucine.
I investigated the genes and enzymes of the bacteria, and it appears that the genes and enzymes that synthesize beta-carboline and related compounds were not present in the bacteria. I have the genomic sequence date of the bacteria. I have searched the genome database to identify any genes or enzymes associated with the production of beta-carboline. Unfortunately, no such gene or enzyme seems to be directly related to the synthesis of beta-carboline in this bacterium. Also, my investigations regarding the McbB enzyme (which is an enzyme that works for the production of beta-carboline) have unfortunately provided no evidence of its presence in my bacterial strain.
So my question Is there an alternative methodology or approach by which I could clarify the mechanisms used by this bacterial strain to produce these compounds? For instance, the synthesis of beta-carboline usually involves the enzymatic action of tryptophan decarboxylase, which catalyzes the conversion of tryptophan to tryptamine. However, my bacterial strain seemingly lacks this specific enzyme. I am hoping that if any practical strategies or methodologies exist, I will try them as a first step to finding some answers for the synthetic pathway.
I sincerely appreciate any insights or directions you can provide.
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I guess your doubt is related to Intra-Cellular metabolites (I guess you have chosen secondary metabolite compounds instead). You can have a look at my recent publication, which was published in RSC Molecular Omics recently. It may drive you to some extent in your research focus.
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Is taking multiple factors such as genome sequence, taxonomy levels, behavioural patterns, anatomy and etc into account when comparing 2 specimens more accurate than just comparing its genomes?
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When identifying the similarity percentage between two species, using multiple factors is generally more accurate than just using the genome sequence alone.
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If the species is least concern according to IUCN red list, then why we go for mt-gene sequencing? What will be the usefulness for the species after research? Would it be the useful research or we should go for some other research topic?
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Some cryptic species are hard to tell apart visually. Sequencing mitochondrial DNA is a more reliable way of identification. You can also use the mitochondrial sequences to build phylogenetic trees.
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As one of 16s rRNA sequences giving only 70% query cover. What could be the major issues with the sequencing? Suggest some laboratories in India for bacterial genome sequencing and it's price.
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I have send details on your research gate through message
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I am looking for a way to predict Transcription Start Site (TSS) in Aedes genome, Is there is any bioinformatics software or pipeline to predict TSS from genome sequence or a gene
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To analyze Aedes genomes, DeepTSS (https://github.com/etirouthier/DeepTSS) may be trained.
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Now several scRNA-seq platforms are used in Bacteria. I can not get the point.
Firstly, Bacteria have Horizontal inheritance, meaning they can exchange the genome. How to get the ref genomes in the mapping process? Is the heterogeneity due to horizontal inheritance or regulation or genome mutation?
Secondly, most scRNA-seq platforms analyze the Bacteria in the culture but not the original. What's the obstacle here? With culture, why not use bulk seq?
Thirdly, the RNA in Bacteria may be polycistronic mRNA, how to deal with them?
Why Not Single-Bacteria genome sequence?
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1. This reference genome can either be from the same strain of bacteria or from a closely related strain. In terms of the source of heterogeneity, it can be due to various factors, including genetic regulation, genomic mutations, and horizontal gene transfer. Horizontal gene transfer is not the only source of genomic diversity in bacteria. Regulation and genome mutations can also contribute to heterogeneity within a bacterial population. Single-cell sequencing of bacteria can provide insights into the heterogeneity at the level of individual cells and can help distinguish between these factors.
2. Culture vs. original sample: Many scRNA-seq platforms require the bacteria to be cultured in the laboratory before sequencing. This can introduce biases and may not reflect the natural state of the bacteria in their original environment. In some cases, it may be possible to perform single-cell sequencing directly on environmental samples, but this can be technically challenging and may require specialized methods. Bulk sequencing can also be used to study bacterial communities without the need for single-cell isolation.
3. Polycistronic mRNA is a type of mRNA molecule that contains multiple coding regions, each encoding a different protein. These regions are separated by non-coding regions called intergenic regions. There are methods that can help to address this issue of polycistronic mRNA, such as using barcoding or unique molecular identifiers (UMIs) to label individual transcripts.
4. Single-bacteria genome sequencing can provide valuable information about the genetic makeup of individual bacteria, but it may not be suitable for all research questions.
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I need help on visualizing a microbial genome sequence obtained from Miseq-paired end reads. I am not sure, when using the tools, how the input file should look.
Can anyone help me with generating the input files? I did go through the ggbio manual, so if anyone could point out the steps to generate the files to be loaded into the respective software, that would be great.
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Hi, After Bacteria whole genome annotation completion, mean after doing whole genome sequence, how I can visualize bacteria whole genome using circos, and what kind of file is needed to upload.
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I have been doing some qPCRs on bacterial genomic DNA. I am using 16S as my "housekeeping gene". My sample of interest, however, yield a lower CT value.
I am trying to figure out how to overcome this issue.
Should I redesign 16S primers?
Is there any other "housekeeping gene" for bacteria?
Should I send my samples to genome sequencing?
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There is no issue. Your bacteria contain many molecules of 16S rRNA, what results in low Ct values. That's all. This is not a problem.
There may only be a problem with this when your treatment leads to considerable changes in the amount of protein biosynthesis for which the amount of ribosomes and hence 16S rRNA may be regulated. A regulated housekeeping gene is not valid reference gene. The expression level (-> Ct value) is irrelevant - as long as it is constant across the treatments/samples you like to compare. Note that any gene being constantly exprseed under all the conditions/samples you like to compare would be a valid reference gene (even if it might be not expressed under some other circumstances - so that it would not be a housekeeping gene).
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I used illumina to complete the genome sequencing of phage and the genome was assembled into one contig. How do I know if the genome I'm got is complete, and if it's linear, how do I know where it ends?
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You might wanna check this software PhageTerm (https://www.nature.com/articles/s41598-017-07910-5), it might help you with your work.
Those other works can also help you with you phage genome assembly: ,
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Hi!
I am actually start working with HERVs and other endogenous viruses and try to verify them on qPCR bases (depending on what part is transcribed in defined setting e.g.). Therefore i need the genomic sequences of different HERVs and other TE- elements with annotations (e.g. LTR-gag-pol-env-LTR), so I am able to design primers for different parts. Only thing i found is giri repbase, sadly our university does not have a subscription. Does someone of you has ideas, where i can get annotated consensus sequences for TE- elements and HERVs?
Thank you!
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You must to study insilico analysis firstly through GenBank database. So, you can understand the gene structure doe to the target sequence do you want... thanks
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I want to make sure that my competent cells are NEB stable cells only but I couldn't find the genome sequence or NEB stable specific primers on web. Has anyone ever tried to validate their NEB stable cells via PCR? If so what is the primer sequence for it?
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You don't need PCR to verify. NEB stable carries an F' plasmid that has a tetracycline resistance marker and is also streptomycin resistance. You can substreak your strain on LB with tetracycline and streptomycin to validate and that is likely to be enough.
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I have been struggling to obtain a good read N50 by sequencing genomic DNA on MinION from Oxford Nanopore Technologies with the ligation sequencing kit, and I wonder if it wouldn't be easier (quicker protocol), cheaper (no 3rd party ligation enzymes) and maybe get a higher read N50 using the Rapid kit (less washing steps and DNA loss). Can anyone share your experience? Thanks in advance.
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I agree with Mathew's suggestion. The Rapid ONT kit is a convenient kit for some applications such as 16S sequencing, library is relatively cheap and ready for sequencing! However if you are looking for long reads, then ligation sequencing might be the way to go as it can barcode fragments as long as you can give it from DNA isolation (don't drop the tube!).
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I'm trying to design a CAR-NK cell that expresses a particular receptor. I have the entire genomic sequence of the gene for that receptor which is 10s of thousands of nucleotides long, I have the mRNA sequence, the coding DNA sequence and the amino acid sequence. Which one of these is used in a plasmid or viral vector for the expression of a construct?
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Amy Klocko thank you!
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I need this cell line to validate my genomic sequencing.
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There are currently 5 ameloblastoma cell lines that have been established:
None is available from a cell collection
Maybe you could contact the Brazilian group that just published their paper with two immortalized ameloblastoma cell lines:
Best regards
Amos
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Genome sequence data need to be converted into numerical database to perform machine learning algorithm.
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By simply using SED in Linux? For example:
sed -i 's/A/1/g' genome.fasta
sed -i 's/U/2/g' genome.fasta
and so on
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I am trying to do de novo genome sequencing for a Basidiomycetes fungal isolate using PacBio CLR, as we already failed HiFi Pacbio and still hoping to get long-read sequences. We used CTAB method together with Qiagen Genomic-tip for the HMW DNA extraction, and we saw bands > 25 kb when we run the agarose gel. After we shipped the sample to the sequencing company, they run Qubit and found the sample was degraded with the main fragment < 15 kb so it is not even worth to proceed library prep. I wonder if anyone also had the same problem with similar species. I can't figure out what caused it because we did the same extraction and shipped another isolate at the same time, that one did not have a problem and was successfully sequenced.
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Yes, I am shipping samples on ice. The Qiagen kit did a pretty good job on cleaning DNA, so I am expecting it is good. But obviously, it seems like there is still something in there to degrade the DNA.
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Hi all,
I am trying to work with SBE2 gene in a plant. I only managed to find partial DNA sequence of the gene in NCBI database. The genome sequence for the plant is available but not its genome annotation. I have a very basic background in bioinformatic and really need some pointers on how to identify the full gene sequence based on the available genome sequence. Thanks in advance guys!
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Hi, I would be happy to help. May I request the genome you are looking to find SBE2 on? I would also like to know what partial sequence you already found. A quick search suggests it might be this one (GenBank: ABA43633.1) but I want to make sure. Sending you a PM.
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I'm working on viral genome sequences (hundreds sequences) to obtain the frequency of particular mutation in that group. I'm relatively new on genome analysis field, so I have been doing it manually by submitting the sequence to a database and take record of every mutation, one sequence at a time. It takes plenty of time, and also risk of error in taking record.
Is there any software that can help me to analyze all the sequences at one time so I will be able to obtain accurate mutation frequency?
Thank you so much for responding me.
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You should be looking to produce a VCF (variant call format) file for your samples. This requires all samples to be sequenced, then the reads mapped to a reference genome (same across all samples), then variants called.
Once you have done this, you can get the information you need about each variant position in the genome across all samples from this file.
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How relevant it is to carry out CRISPR/Cas based genome editing of cds obtained via De novo transcriptome sequencing? How important it is to have the genome sequence available for gene editing? What could be the possible outcomes and consequences ?
Please suggest
Regards
Alka Jangra
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Hi
genome editing means that you'll target precise sequences and in view of the editing possible errors due to mismatch priming, the best way to run this protocol is to get the entire sequence to avoid off targets multiplication.
improvments have been done but this point still exists.
all the best
fred
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What are the main challenges? How are results typically interpreted?
How does this differ from genome sequence data collected evolution experiments?
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Hey there, please have a read on the following paper.
I think it can further help you to understand how we should start our gene expression for the evo-devo experiment.
Please let me know if you need further help.
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hello. My laboratory is doing a Killifish genome sequencing and I don't want to lose this chance to use it and decided to start my own research. I have a research idea but I need more details for a proposal.
I wanted to know what tools are there to get proteins from DNA. And every difference between them. For example, I will not need a whole protein sequence, but specific multiple proteins (TERT, TZAP, RAP1, TRF1, 2, TPP, TIN). Is there any tool for that? To search for a specific protein.
Despite which tool I need, please tell me about any tool that is related. Thank you
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The first step would be genome annotation - e.g using the The NCBI Eukaryotic Genome Annotation Pipeline https://www.ncbi.nlm.nih.gov/genome/annotation_euk/process/ . In the course of this process, the individual genes in the genome assembly are identified, annotated and linked to orthologous genes in other genomes.
Which tools and processes you will need depends on how far the annotation of your Killifish genome assembly has already progressed
You may want to watch this YouTube Video Tutorial explaining the process of genome annotation
You will find many more tutorials explaining how to use the various ressources at NCBI, starting with
"A Beginner's Guide to Genes and Sequences at NCBI"
NCBI already contains two Killifish genomes:
You can do a BLAST search for your proteins using the "BLAST Genome" link on these pages. Depending on whether your query sequence is a nucleotide or protein sequence use blastn or tblastn
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For the prediction of 5s/8s, 16s/18s, and 23s/28s ribosomal RNA in full genome sequence, which server is best.
And the server whch is windows based and not Linux-based.
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hi,
28S ribosomal RNA is the structural ribosomal RNA (rRNA) for the large subunit (LSU) of eukaryotic cytoplasmic ribosomes, and thus one of the basic components of all eukaryotic cells.The 18S rRNA is one of the basic components of fungal cells and comprises both conserved and hypervariable regions. The internal transcribed spacer region, ITS, is located between the 18S and 5.8S rRNA genes and has a high degree of sequence variation.16S rRNA gene sequencing is commonly used for identification, classification and quantitation of microbes within complex biological mixtures such as environmental samples (ex marine water) and gut samples (ex human gut microbiome).
for more info:
Best wishes..
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I have read the sentence below, and I have still diffculty to understand the term Read Depth. I would be glad if someone could explain it to me.
Read depth:The total number of sequencing reads obtained for a sample. This should not beconfused with coverage, or sequencing depth, in genome sequencing, which refers to how many times individual nucleotides are sequenced.
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I would like to start a new plant phylogenomics project, but I am currently struggling with choosing the best-suited approach. My idea is to combine the latest genomic approaches (e.g., Oxford Nanopore Technology (ONT) Sequencing) with DNA extraction of herbarium specimens due to Covid-19 restrictions and thus restricted traveling possibilities.
- Do you have any experiences with DNA extractions from herbarium specimens and ONT genome sequencing?
- Assuming the availability of a reference genome, would you recommend using low-quality long ONT reads instead of high-quality short Illumina reads (also in terms of costs) from DNA herbarium specimens for reference-guided read assembly? Depending on the specimen age, DNA is already strongly fragmented and ONT won’t capture long fragments (> 1 kbp) anyway, or?…
- Are there software tools you would recommend for reference-guided ONT read assembly and generation of diverse output files for further downstream analysis (e.g., tree and structure software)?
The plant species I will use has a diploid genome size of 0.8 Gbp. The majority of samples are polyploid hybrids.
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The main problem here is that DNA from herbariu specimens is usually very fragmented. Therefore, you will lose the potential of nanopore for sequencing long reads. Under these circumstances, Illumina sequencing is in general preferable.
The question is, why do you what to use nanopore on herbarium vouchers?
I cannot remember of a study using nanopore on (old) herbarium specimens. But let's wait...maybe somebody else has more experience on that.
Greetings!
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I have found recombination in a certain caliciviridae virus which was detected by sequencing its partial capsid and polymerase region. It was not possible for me to perform a complete genome sequencing at this moment. How could I do analysis with this partial sequence in SimPlot version 3.5.1? Can anyone please give me step-by-step procedure to perform the analysis? It would be a great help. Thanks.  
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You can use our SimPlot++ software (available for Windows, Mac and Linux) to perform the analysis: https://github.com/Stephane-S/Simplot_PlusPlus
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I want to align mRNA with the genomic sequence. I was using MGAlignit earlier but the server is not responding now. Do you know of any alternate tool?
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Try out my own developed gui based allignment tool, BLGAST-By-SKUAST on sourceforge
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Dear all, I am trying to use CD-hit to remove the duplicates from the file that is the output from trinity (RNA seq assembly).
I used the following parameters:
cd-hit-est -i in.fasta -o out_cdhit90.fasta -c 0.90 -n 9 -d 0 -M 0 -T 0
But the output file still contains lots of small or fragmented sequence plus the best one. How can I remove those small or fragmented duplicates by changing the parameters?
thanks
ZQ
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Hello, do you know any tool DIFFERENT from CD-hit to filter CDS unigenes.?
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I have tried SmartBLAST, but there I'm not getting the exact what I want. If anyone can guide me on how to get the same from ORF's will be a great help.
Also I need to find out the functional regions with high similarity and identity, so for that do I have to use MSA tool?
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Thank you everyone for your responses!
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.........................................................................
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Hey, these viruses usually generate intermediate genetic material, except for (-)ssRNA viruses, which can use their genome directly for replication. Have a look at the baltimore classification. Image taken from wikipedia, credits: Thomas Splettstoesser (www.scistyle.com) - Own work
Virus, Baltimore Classification. Classes I-VII (Legend: ss = single stranded; ds = double stranded)
hope this helped
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I recently sent samples to be sequenced in Macrogen-Korea, but do not know much assemble secuenciasy analyze the quality of sequencing. So I want to learn.
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Hi, I have the total genome sequence of an organism. I want to scan for the presence of a special gene from this sequence. How is it done, with which program should I do it? I would be very grateful if you could reply urgently.
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thank you so much.
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I am going to make a list of genes with unknown functions in Salmonella typhimurium strain LT2. To make a comprehensive list, I wondered if someone knew a publication or database that could help me.
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I have the whole genome sequences (WGS) of 200 strains of the same species, and I want to compare the protein sequences of a specific gene among 200 strains. I would like to ask is there any software that can automatically extract the protein sequence of the target gene from 200 WGS simultaneously, or I need to manually find and extract the protein sequence of each strain and then do the protein alignment? Thank you in advance.
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If you can use nucleotide sequence, not protein. I recommend using this software, ABRICATE.
Make your own database with reference sequences. This software will align your genomes into databases and export results into Excel files.
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For Bio-synthetic gene cluster analysis, many tools required protein input sequence that's why we have to submit protein sequence for analysis of putative gene clusters.
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Hi all,
I would like to now if you have any information related to this issues, more precisely companies who could provide services for
1. genome sequencing and assembly ;
2. whole methylation sequencing  for 20 samples including bioinformatics analysis
Thanks
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You can always reach out to Novogene for your sequencing projects. We have worked with them over the past few years and your get excellent service at great prices.
For the data-analysis, feel free to reach out to BISC Global (www.biscglobal.com), a bioinformatics, statistics and machine learning services company with teams in Europe and the US. We have a lot of expertise in epigenomics and genomics data analysis.
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I found that in NCBI, sometimes it is hard to find the complete genomic sequence of a gene, does anyone know if there are other websites good for searching for genomic sequence? Thank you.
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You can also search in the following link
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I have the Illumina whole-genome sequences data (which included both chromosome and plasmids sequences) of over 100 strains of the same species. Could anyone please tell me how to make a phylogenetic tree based on only core-genome sequences (only include chromosome sequence)?
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Thank you everyone for suggesting various tools. I highly appreciate your help.
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I have 182 whole-genome sequences including 181 reference genomes and a genome sequenced us, I would like to draw a phylogenetic tree using these 182 whole-genome .fasta files. I tried with MEGA X but not running even using a server. Can anyone suggest a programme or online tool for this?
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you can use the server clustal omega (https://www.ebi.ac.uk/Tools/msa/clustalo/) it allows you to upload 4000 sequences. It performs a sequence alignment and after construct a phylogenetic tree.
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I am having an assembled fasta file (~3.7 GB in size). I tried using the web based MISA v2.1, but it accepts fasta upto 2Mb only. Is there any other alternate software which can be used for a large size dataset for filtering SSRs?
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Dear Nazima, You may consider GMATA tool.
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I am writing a research article using complete mitochondrial genome sequences. I need to reconstruct the phylogenetic tree using the MrBayes.
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There are so many tutorials on youtube.
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Hello everyone!
I want to generate a phylogenetic tree of my 16S rRNA sequence but NCBI shows similarity with compelete genome. When click on accession number it goes to complete genome page. Can anyone suggest me some methods to do this! The sequence is attached.
Thanks
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Hi Muhammad,
In the your alignment, You are looking at description tab. Go to the alignment tab. then scroll down to go to match with your sequence you will find a link to GenBank entry for that range from the whole genome sequence. shown below in bold face.
Hope this helps.
Plus/Plus Range 1: 2299023 to 2300546 GenBank
GraphicsNext MatchPrevious Match
Query 1 TATAGAGTTTGATCCTGGCTCAGATTGAACGCTAGCGGCATGCTTTACACATGCAAGTCG 60 |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||| Sbjct 2299023 TATAGAGTTTGATCCTGGCTCAGATTGAACGCTAGCGGCATGCTTTACACATGCAAGTCG 2299082
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I am working with house cricket sequences and already search SSR for population genetic studies.
Population study is taking time so i wanna make use of genome sequence for publication.
Regards
Yash M Gupta
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Hi Yash Munnalal Gupta,
You can try out our new eukaryotic gene annotator pipeline FINDER (https://github.com/sagnikbanerjee15/Finder). You can access the paper here ( ). Let us know if you run into any issues.
Thank you.
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Variant genomes may share quite similar sequences, when I make the denovo assembly, only a few contigs are generated (sometimes the variants should contain a large diversity, e.g. HIV). Normally people use SGA for this purpose, want to know how to achieve the same goal using NGS short reads, single genome sequencing such as nanopore should work.
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For species with very small genomes, eg. bacteria, virus, you can simply use TGS(both Pacbio and Nanopore sequencing) to solve this problems. It's not expensive. But, if you want to use NGS data, you need to choose the right assemblers. Most of the NGS data assemblers are based on debugin graph. Once your samples are complex, they might not work well. But referenced guided genome assembly is another thing. If you want to do genome assembly of species with finished genomes using NGS data, you can try this method.
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I have whole genome data sets of SARS-Cov2 of different countries. Now I want to exclude genome sequences which represents 100% sequence similarity. I want to do it by clustering analysis..
1) Can anyone suggest me any tool that is good for Viral whole genome clustering analysis??
2) any another method, that i should know??
A big thank you in advance.
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using usarch (https://www.drive5.com/usearch) and set the id=1.0
e.g.
usearch -cluster_fast query.fasta -id 0.9 -centroids nr.fasta -uc clusters.uc
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I am preparing a research article on the complete mitochondrial genome sequences of Noctuid moths. How to find the tandem repeats in the A+T-rich region. Kindly guide me.
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It depends on what exactly you want to identify.
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I have RNA-sequence/est and genome sequence. I would like to identify the intron splice site with 5' GT-3'AG bias
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Thank you @Katharina Hoff's.
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I'm trying to identify certain amino acid sequences that occur in the ORFs generated from an annotated genomic sequence. For instance, I would like to find any occurrence of LPXTG (where X is any amino acid). Can you recommend a website or software that will allow me to do this? Thanks.
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Hi Brandon,
If I got it right, you can use MEGA, AliView, or any other DNA sequence editor with sequence translation. You just need to copy/past fasta sequences in, let's say MEGA, choose the translation table (like human genetic code) and go to the translated view. You can then either just look at it or export the data for "Phylogenetic Analysis" in the "data" MEGA menu, and highlight the variable sites, do some statistics and countings.
Here you can find MEGA (https://www.megasoftware.net/) and all its documentation as well. I shall state, however, that MEGA and similars do not usually have modules to recognize ORFs and you should give the sequence at the very first codon/amino acid. Otherwise, you might find some stop codons.
I hope it helps you.
Cheers
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I want to know about the current status of plant genome sequencing in this world. How is the reference genome in this case? Does anybody have any knowledge regarding the topic of Plant genome sequence?
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Here is a good review paper. It describes plant genome sequencing progress. Title: Genome sequences of horticultural plants: past, present, and future (1).Attachment shows summary of how many plant genomes have been sequenced (1).
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In the aftermath of the 1918 Spanish Flu pandemic there was a marked increase in incidence in psychological and psychiatric illness incidence. These conditions now often referred to generically as post-viral syndrome increased hospital admissions and treatment of mental health disorders in the years following the outbreak in 1918.
Population studies in countries that did not take part in World War One seem to indicate that the possible post war melancholy could be ruled out as a confounder as this increased incidence was seen in all countries affected by the flu that had been non-combattants in WW1.
Could there be a lasting and chronic element to all SARS type respiratory disorders?
SARS genome sequences have been detected in the brain of earlier SARS autopsies with LM, EM, and with real-time RT-PCR. The signals were confined to the cytoplasm of numerous neurons in the hypothalamus and cortex. Oedema and scattered red degeneration of the neurons was identified in the brains of 80% of the confirmed cases of SARS examined.
SARS viral sequences and pathologic changes have not been found in the brains of unconfirmed cases or control cases.
We may have a longer lasting health care problem that will affect those 'recovered' from Covid-19 for some years to come.
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Of course: YES !!. The Covid-19 coronavirus is neurotrophic, but -in addition- it is generating thousands of behavioral and psychopathological disorders due to the infinity of biopsychosocial problems that it is generating ... not to mention the so-called "pandemic fatigue" that the entire population is suffering. in general because of the "anti-Covid control" measures (confinements, border closures and perimeter closures of cities, time controls, curfews, etc.) that are influencing a lot and changing our lifestyles ... phobias are skyrocketing. , paranoid and catastrophic ideations, Post-Traumatic Stress Disorders -PTSD-, sleep problems and disorders, over-stress, anxiety, depression, pathological grief for the deceased, problems of schooling and socialization of children and a long etcetera (without going any further far, the Separations and Conflicts of Couple have increased in the West by 135%).
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Hi!
I'm looking to use Oxford Nanopore technology for a project I'm working on- I'll need to sequence phage genomes (from faeces) - both RNA and DNA. Our lab already has the MinION Mk1b application but I've not used it before. If anyone has done similar work i'd be really grateful for any general advise or warnings of pitfalls to avoid. Very open question - but would be helpful to learn from experiences!
Thanks Aoife
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Oxford nanopore technology is good one. You should prepare quality samples like avoid host DNA contamination. Try to chose the correct assembler.
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I want to run a variant caller on ASD sequences but I can't find any database that allows open access to it. Have we got something like SRA to download such data?
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Autism Genome Project (AGP) Consortium - Whole Genome Association Study of over 1,500 Parent-Offspring Trios - Stage I and II
dbGaP Study Accession: phs000267.v5.p2
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I want to download chromosome wheat genome sequence v 4 from IWGSC website but can't find a way to do so. Secondly I want to perform BLAST search using GENEIOUS software can some1 suggest any other appropriate software to BLAST, in which I can compare genetic architecture of different Spp. (rice, maize, wheat, barley) ?
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Mirza Faisal Qaseem Thank you so much....
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I have identify genome sequence of my bacterial through 16S rDNA sequence method. since my bacterial is a hydrogen producing bacterial, would there be a software that i will insert those sequences and it will show up the presence and position of hydrogen producing proteins from the sequence
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Hi, Mohammed Abdullahi,
If you only have the whole genome sequence of your bacteria, and Open reading
frames (ORFs) were predicted from the genome sequence using MetaGeneMark. After that the BLAST related tools (e.g. BLAST or DIAMOND) combined with some functional annotation databases (e.g. KEGG) could be employed for analyzing the ORFs function, and then the genes encoding hydrogen producing enzymes will be searched.
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I have a genome sequence, I wish to draw a phylogenetic tree to compare it with similar genomes, How can I do that?
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please use this website (https://tygs.dsmz.de./) to draw Phylogenetic tree using whole genome sequence , just put genome accession numbers and get your tree. if you have more than 20 genomes you can send email ( tygs@dsmz.de ) for upgrade your genomes numbers.
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We have whole genome sequence data of Paenibacillus sp. and Arthrobacter sp. On submission of the sequence data with NCBI we got queries (a) If this is a circular genome, are the ends of the sequence contiguous around the circle with no overlap and no gap? (b) Should there be a gap at the end of the sequence? If there should be a gap, do you know the gap size or should this be an unknown length gap? 
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Usually, if you assembly a gemome into one contig, you can try to find the overlap between sequence's strat and end position. For example, a 5M genome assembly result, you cut 1~10k position as start and 5M-10K ~ 5M as end. Then use sequence align method to find overlap between start and end. Maybe this method is not accurate method, but it can help you finish the firt step to judge genome circular condition.
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I would like to get quotations for whole genome sequencing (WGS) of human Required depth of coverage for WGS: 30X and for WES: 200X Sample source: Blood
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Thanks a lot Liguo Wang, Abhijeet Singh and Ireneusz Stolarek
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I am trying to use BLAST tool to screen my own genome sequences for specific genes.
I am lacking bioinformatics knowledge and would like a simple explantation on how to do this.
Briefly, I've been given the genomes of the strains I am working with and would like to check whether they carry some known genes (NCBI) for specific compounds.
Any clue on how to do this?
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What I often do is use the "Align two sequences" option on NCBI Blastn.
Your query will be your genome and the Subject sequence will be the gene you are looking for.
I hope this helps!
Tamara
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Dear all,
I have the following troubles:
I am trying to go from cDNA sequence to genomic in order to locate some mutations. I have the reference sequence
and the corresponding genomic sequence:
I am trying to locate several mutations, but if anyone can show me how to get to one or two then I will do the rest myself. The mutations I am looking for, in this instance, are c.192+5T>TA (this is an intron variant) and c.805A>T. I guess the TA refers to a heterozygous sample. Although I can (probably) find the c.192 and c.805, I cannot locate the mutated nucleotides at all on the genomic sequence. So the question is where do I get it wrong, either in looking at the coding sequence in the wrong way or not looking at the introns in the correct way? Can anyone help me on that? Much appreciated.
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The reference genome in NCBI will not have these mutations/variants/alleles. You will be able to find the referred to original nucleotide sequence. Were did you get the information about the mutations? Also, the cDNA will not have the intron variant, only the gDNA contains introns.
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Hi all,
I am interested to do a comparative genome analysis using EDGAR comparitive genomic tool. I have a novel bacteria whose genome sequence was obtained by us and now I was to do compare this novel strain´s genome to it´s phylogenetically closely related neighjbours. This bacterium belongs to the genus of Paracoccus.
I notice that EDGAR allowed to select the genomes which are already provided in their database but does not allow to add a sequence of any genome (may be I missed?). Could you please suggest me how can I do a genome comparison using thsi tool or if you can suggest some other tools (in case EDGAR does not allow to add new WGS to their database for comparison)?
I know about BRIG but that is not as cool as EDGAR since it provides Venn diagrams and many other results for better interpretation.
Thank you and Regards,
Timsy
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Hello, I think you need to register to EDGAR and create a new project.
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The rationale would be to have enough confidence in calling a variant. Thanks, all!
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Thank you Abhijeet Singh and Mathew A Beale - this is very helpful.
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I need a dataset with known organism information (which organisms are in the dataset, it's best if the coverage of each organism is known). I did a search on the web but did not find any.
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Perhaps this webpage will be useful for you.
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The results show me the presence of plasmids, and compares them with plasmids from the database, but I can't find their locations, thank you!
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Get the names/accession numbers of the plasmids from PlasmidSeeker results.
Then BLASTn them against your sample, making your sample the subject and the reference is the query.
The alignment will show you exactly where is it in the areas that are identical to the reference.
Then, identify annotated genes from your plasmid that haven't showed up in the alignment, which could be not available in the reference, but present in your sample.
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Is there any way to predict telomere sequences from genome sequencing data?
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Abhijeet Singh Thanks for your advice. However, this tool was designed to find specifc telomere in the text-format genome and was not suitable to our study.
Umberto Palatini Shirin Parizad Thanks for your advice. I have tried TelomereHunter which was designed to find telomere mutants in cancer cell. However, it was base on human genome and it gave wrong prediction when I just replace human sequecne data to yeasts. I think this method should be modified when it was used in yeast.
Thanks for all of you the answers.
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Considering the use of this kit ( SQK-RBK004 ) for cost efficient sequencing of multiple bacterial genomes per flow cell. Any comments on its efficacy etc. would be welcome! Thanks!
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The Rapid Barcoding Kit is a transposase based adapter ligation kit which is optimized for read lengths of 30 kb or more. However, the throughput of this kit is lower than the ligation sequencing kit. Moreover, no third party expensive reagents are required for this kit and the protocol is quite easy to perform. If your sequencing depth requirement is low then you can use this kit with the Flongle flow cell to make it even more cost effective. For making nanopore sequencing cost effective you need to multiplex as much sample as possible so that the cost of per sample goes down.
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I am preparing a research article about the complete mitogenome of moth. I want to include the details in my research article.
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Bombyx mori, 2001. Seems to be the earliest. But you should probably try a few more searches to be sure. See attached screen shot.
submitted to GenBank in 2001 still unpublished.