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Animal Genomics - Science topic

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is there any ways that i can find genome similarity of an organism without whole genome sequencing ,like using maths formulas or experimental progress ?
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Prior to the era of whole genome sequencing, people were estimating similarity using DNA-DNA hybridization.
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Greetings everyone.
I seek guidance from individuals experienced in NanoPore sequencing of whole genomes of non-model eukaryotic organism. Our objective is to sequence the genome of an amphibian species with a sizable genome (~5 Gb) utilizing the NanoPore long-read sequencing platform. Despite employing various DNA extraction and purification methods, achieving the requisite purity for DNA extracts has proven challenging.
After numerous attempts, we have managed to produce samples that meet the quality standards set by Oxford NanoPore, with A260/A280 ratios ranging from 1.8 to 2.0 and A260/A230 ratios from 2.0 to 2.2. The DNA is not fragmented based on a simple TBE agarose gel run. We initiated library preparation with 1 microgram of input DNA, in accordance with the genomic DNA sequencing protocol using the Ligation Sequencing Kit (V.14 chemistry).
However, our sequencing results have consistently fallen short, with a read N50 value of less than 8 kb (somethimes much less) and a maximum output of 5 Gb (after 36h sequencing, load the lib. twice), significantly below our target. I am reaching out to seek insights from experienced individuals regarding potential reasons for these suboptimal outcomes and to explore strategies for improvement. Your expertise and guidance in this matter would be greatly appreciated. Thank you.
I attach an agarose gel picture with our input DNA sample (first spot). The corresponding NanoDrop purity ratios for this sample are A260/A280 - 1.854 and A260/A230 - 2.088.
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I recently did a couple of minion runs. I used the Circulomics kit for size exclusion of fragments less than 25kb. I had a good N50 ranging from 12kb to 22kb with 16-20GB of data in one run. The only thing I suggest is not to freeze and thaw your DNA. If possible, perform the DNA extraction and library preparation on the same day; if not, don't freeze the DNA (you may use 4 degree storage but don't go higher). I think it's better to have more DNA than recommended during library preparation. For higher data, make sure your flow cells are within warranty, with a standard number of pores available for sequencing after the loading library.
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Hi everyone!
We isolated and sequenced our nuclei, and performed hashing prior to sequencing by combining four samples in a single batch, with each sample being stained with a different TotalSeq B hashtag antibody. I am curious whether the 10X Cloud Analysis tool can support the demultiplex Cellranger pipeline for our specific case.
Thank you for your help.
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The 10x Cloud Analysis platform is a suite of analysis tools for single-cell sequencing data generated using 10x Genomics technology. The TotalSeq B antibodies are oligonucleotide-conjugated antibodies designed for cell surface and intracellular protein analysis in combination with single-cell RNA sequencing (scRNA-seq) using the 10x Genomics Chromium platform.
TotalSeq B antibodies are designed to label cells for downstream analysis with scRNA-seq. While these antibodies can potentially label nuclei in addition to other cellular compartments, they are primarily optimized for labeling cell surface and intracellular proteins. Therefore, they may not be the most suitable reagents for nuclei staining in isolation.
However, the 10x Genomics platform supports additional assays, such as chromatin accessibility and gene expression, that can be used to analyze nuclei. For example, the ATAC-seq assay can be used to analyze chromatin accessibility, while the 10x Visium Spatial Gene Expression assay can be used to analyze gene expression in tissue sections.
In summary, while TotalSeq B antibodies are not optimized for nuclei staining in isolation, the 10x Genomics platform supports multiple assays that can be used to analyze nuclei and other cellular compartments.
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Let's suppose there's an ecology investigation going on. The most relevant species of insects in a mountain range should be sequenced because they want to make a phylogenetic tree using bioinformatics software. How much would cost the sequencing at a decent quality, for each insect? Is it still too expensive to try something like sequencing the genomes of the 1000 more relevant species of an area?
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On the Illumina NovaSeq 6000 Platform, you can sequence about 48 human genomes on a single S4 flow-cell. The libary preparation of 48 samples costs about (approximately!) 7500€, the flow-cell 14000€. This is 21200 for 48 genomes or about 450€ per human genome - very approximately. If the genome is less complex, you can pool more than 48 genomes per flow-cell, if the genome is more complex, you can pool less. On smaller systems, sequencing will usually be more expensive, possibly by up to an order of magnitude.
It may be neccesary to additionally do some long-read sequencing as well (e.g. Nanopore sequencing or similar) to gather information about the arrangements of contigs or to fill in gaps (often containing repetitive sequences that are almost impossibleto map with short reads). This will add to the costs.
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I am trying to design primers for RT-qPCR. I have downloaded and aligned the available gene sequences from NCBI. As I am working with a non-model organism, I have to rely on other closer relatives and the sequences available in NCBI. I have tried both with the gene and mRNA, and tried to find conserved regions using Bioedit. Both the time, conserved regions were not enough to design a primer.
Is there any other method I can use to find conserved regions or Bioedit do a good job?
Also, if I don't find conserved regions, can I just design primers from a couple of closely related species using exon-exon junction in the hope it will work out?
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You said, "Both the time, conserved regions were not enough to design a primer." So, they do have some conserved bases. You can try 'degenerate primers'.
I used degenerate primers (designed based on other plant species' sequences) to fish out a transposon element in my plant species. It succeeded.
"A degenerate primer is defined as: “A mix of oligonucleotide sequences in which some positions contain a number of possible bases, giving a population of primers with similar sequences that cover all possible nucleotide combinations for a given protein sequence (Iserte 2013)." [1]. Read the article carefully from the link below.
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The project's budget is 12,000$ does not include buying any equipments except (for example) a genotyping analysis kit, I did a project for analyzing genetic diversity and selection signatures in four endangered cattle breeds using Illumina BovineHD kit but it was not satisfying, any suggestions? it is very important and crucial for my career.
Thanks in advance,
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You can also choose to study the diversity, evolutionary phylogenetics or domestication of a species. Large stractural varitions on genetic disease is also a choice.
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I have received the annotated data for NGS WGS and we have done some analysis like sequence similarity distribution among species, score distribution of the biological process, etc using Omicsbox. Then we thought of comparing the complete sets of protein and gene (more than 5000 in Fasta format) with protein and gene sets from few other species. Is it possible and how it can be carried out.
I am new to bioinformatics, kindly guide me
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What do you mean by comparing?
There are different ways for the comparative analysis and you need to ask for something specific to get meaningful answers.
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Since two decades we came across many tools to edit the desired gene and genome viz., clustered regularly interspaced short palindromic repeats (CRISPR)-CRISPR-associated protein 9 (Cas9), (2) transcription activator-like effector nucleases (TALENs), (3) zinc-finger nucleases (ZFNs), and (4) homing endonucleases (HENs).
Among them which is the best tool for editing the gene of interest?
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I agree that there is no such thing as "best" - it all depends on the purpose, the samples, the equipment, and... the experience of the specific researcher. For that reason, for most people, CRISPR-Cas9 is the "best" option - it is most commonly used, and thus any technical problems can easily find solutions from lots of other researchers. It is also the most user-friendly, quick, and, most of the time, cheaper than other gene-editing tools (again, depending on the specific purpose).
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One of the steps during the preprocessing of the data from metatranscriptomic analysis is to remove any host reads (host contamination) by comparing to host database. But what if there is no host reference or the closest reference is the draft genome of the same family but different genus?
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In this case I will use Megahit, it is relatively fast de novo assembler.
Also removing host transcriptome is not necessary step, you can just skip the step and go for assembly.
Megahit was very useful for me in case of viruses.
In a case I used different species genome to remove host transcriptome and it was successful, but I don't know about different genus.
if there is no host genome I will go for these steps:
1- assembly with Megahit
2- identifying target organisms with blastn and blastx
3- mapping back rna-seq data to identified target organisms
4- reference guide assembly with Trinity assembler, it needs bam file of step 3
5- identifying target organisms with blastn and blastx
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Dear Researchers,
I am going to run RNA Sequencing on mouse brain samples. I have collected the samples and then I put them in the RNALATER solution and stored them at -80.
Following this step, I removed the solution and put a lysis buffer with B-mercapto according to the Qiagen kit recommendations. I followed all the recommendations on the kit.
Finally, I have analyzed the RNA integrity and I got 5.7 and 4.4
With the nanodrop, I got 30 ng/ul concentration in one sample and 28 in the other.
Does anyone have any technical advice for me, what could be the reason for the low quality of the RNA?
Attached the report for the RNA migration.
Thanks a lot.
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Thanks, Jean for your answer,
I did two 30 ul twice. so 60 ul in total.
The weight of the sample was 25 mg. And they are adult brains.
Best
Mohammed
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Many of the colors used to chromosome staining are alkaline colors (for example carmine). Are colors that have acidic properties also capable of chromosome staining?
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Acidic stains can be used to stain the protein exactly.
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Hello researchers
I have a fresh oral tissue samples collected by Rovers Orcellex Brush , unfortunately I can not use any kit.
Please, I need trusted protocol to extract DNA from this brush .
Best regard
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Dear Hayder
You can find a good protocol in http://mcblabprotocols.com/protocols
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Dear all i am going to perform SSCP. i am using various protocols for SSCP and silver staining but i am unable to get clear results. here is a resent picture, any one who can help and guide me in this regard plz write here.
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Farman Ullah Room temperature is 26 degrees while I am not sure about tank temperature. The size of the amplified product is 178bp.
Paul Rutland I use glycerol while making of the gel. Bands are very sharp but if I get mutations the bands are not distinguished only the thickness of the bands in case compared to the normal sample is used to decide whether mutation is there or not. But I have seen papers where people have got excellent bands and very clear too.
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Postdoctoral Research Fellow – Animal Genomics Responsibilities:
We are seeking an enthusiastic and highly motivated post-doctoral fellow to integrate into an animal genomics research laboratory (dogs, cows and poultry) in the veterinary medicine faculty in Turin, Italy. The ideal candidate will be mainly involved in experiments related to the role of oncogenic alterations and immune-interactions in canine cancers (lymphoma, melanoma and osteosarcoma). This individual will work with a group of researchers and post-doctoral fellows of veterinary animal pathology section using molecular biology, genomics and informatics techniques, in a highly collaborative, stimulating, collegial and multi-disciplinary research environment. This position will provide ample opportunities for professional development and the acquisition of cutting-edge skills in basic and comparative cancer genomics research.
Specific duties would include:
  • Tissue culture of animal cells
  • Extraction and analysis of DNA and RNA, including PCR, quantitative PCR, RT-PCR and Digital PCR
  • DNA and RNA library preparation for RNA-seq and Exome-seq
  • Presenting findings at internal and external meetings
  • Maintenance of general lab supplies, consumables and equipment
  • Ordering/cataloging of laboratories supplies and reagents
  • Other research or organizational duties, as appropriate
  • Under the guidance of the research team, the ideal candidate will assist with collecting data, interpreting experimental results, and synthesizing the findings within the larger context of the project(s).
Qualifications:
We seek a talented and exceptionally motivated scientist, with a BA/BS in biology or a related field with previous laboratory experiences in molecular and cell biology. The candidate should have basic knowledge of genomics and next generation sequencing methodologies. Strong recommendations from previous research advisors or laboratory supervisors are requested.
Contract:
Two-years full time contract and salary negotiable
How to apply:
Interested applicants please submit a CV, cover letter, and professional references. References can either be in a reference letter format or by listing the phone/email information of contact. Please submit all documents within a single file attachment to luca.aresu@unito.it and tiziana.cannizzo@unito.it
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Good position
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I'm trying to find any programs or published scripts that can be used to systematically identify and return a list of genes within a specified distance of a response element.
I have a list of response elements identified via PoSSuM-search, which includes genomic coordinates for each match, and need to use this list and a .GFF3 annotation file to identify all genes that fall within XXkb (e.g 100kb) of those response elements.
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Hi Siavash Salek Ardestani -- this is a great suggestion, but unfortunately Ensembl and biomaRt does not currently support my study species.
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Evolution, Genetics, Genomics
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The question was if one can accelerate or slow down evolution in humans. I answered that it is, in principle possible but there are practical difficulties. Furthermore I do not advocate it. It is well known that stress can induce mutations that are adaptive to the stress. If you want, I can give examples of the phenomenon from bacteria to humans. An example in humans is the adaptation to high-altitude living in residents of Tibet [Simonson. (2010) Genetic Evidence for High-Altitude Adaptation in Tibet Science 329 (5987): 72-75.] Organisms have a built-in ability to adapt to environmental stress. The stress causes the activation of a transposable element in the genome that in turn causes a genetic rearrangement that leads to an adaptive phenotype that tends to reduce the stress. The phenomenon is apparently universal.
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I just keep finding data on CHOK1, CHOK, DG44, DXB11. I was hoping I could get access to quite a few CHO genomes to make genomic fingerprint comparison easy.
My backup plan is to use mouse cell line data.
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this link is useful
regards
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Can anyone help me with the list of cattle breeds whose genome has been sequenced till date.I have a list of breeds involved in 1000 bull genomes project and Canadian Cattle Genome Project. 
Thank you
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Hereford was first. Regarding Bos indicus, report from Brazil for Nellore breed Journal of Heredity (DOI: https://doi.org/10.1093/jhered/esr153). Another article in BMC Genetics (DOI: 10.1186/1471-2156-9-37) regarding eight breeds. Go through it if it is useful. I will let you know if i get my notes on it.
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Dear all,
I'm currently working on mammal genomes. I had received Illumina NGS data and decided to use QDD (on Windows) to fish out microsatellites for PCR primer design. I've encountered some problems and hopefully someone can help me up here.
1. By following the instructions in http://net.imbe.fr/~emeglecz/qdd_installation.html, I've downloaded Active Perl, BLAST+, ClustalW and Primer3. For Primer3, should I downloaded version 2.3.7 (the C code), version 4.0.0 (Web Interfaces - Primer3 Web) or 2.3.6 (Web Interfaces - Primer3Plus)?
2. Can I use the raw data from NGS (paired ends reads, 1GB) as the input file for Pipe1 in QDD?
3. I've tried the above and my laptop is still working on Pipe2 after 12 hours. How long will Pipe2 and Pipe 3 take for a sample size 1GB?
4. Anyone has a detail workflow for using QDD on Windows to design PCR primers?
Thank you in advance for helping.
Great Day
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Running on a linux server can solve your problem. You should look for a linux server and run on it using multi threads. 
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i want to analyse region on dna of gene of known transcrition start site ,what should be region i will take upstream and downstream of tss for to get transcription binding site.
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There are many publications on promoter analysis of genes, and choice of region to be considered varies across studies. I have been following literature on promoter analysis for last four years, and have not seen any of  the published studies explain clearly the reason for choosing specific region (-500 to +500 or -1000 to +1000 or -2000 to  +2000) for analysis. So it is difficult to suggest a specific region.
But based on experience I can tell you that larger the region you consider more TFBS you identify and majority of them being false positives. The tools that scan for TFBSs  in promoter sequences, use position weight matrices(PWM) or consensus sequences.
What I would suggest is to perform promoter analysis considering larger region (-2000 KB to +2000 KB) and consider TFBSs that are located in CpG island region or Evolutionarily conserved across species (These information you can get from UCSC).
This strategy will facilitate removing most of false positives and choosing important region for experimental validation.
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we have extracted animal genomic DNA from blood and run in gel electrophoresis showed good bands, while after digesting these genome with 4 restriction enzymes showed nothing. no bands were produced everything went away.
we used
0.5ul enzyme
0.3ul bsa solution
2ul 10x enzyme buffer 
5ul genomic dna
then incubated for 2 h and then run in 2% agarose gel electrophoresis directly. but there were no bands showed 
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thanks @Amitabh I have used single RE  at time. and I used theme to genotype animal thers no problem with the activity of the RE,
I used these RE in genomic to make a diversity between breeds of sheep based on RFLP NON PCR
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I amplified my PCR fragment from mouse genome, and it gave 1 band. However, when I sent it for sequencing, it gave double signal in some regions. So I would like to ask if anyone have experience how to sequencing this PCR mixture with same size. Thank you so much.
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1) Use an internal sequencing primer that primes only one of the two fragments.
2) If you have sequence information for your band, try digesting the DNA with restriction endonucleases that don't cut your band but cut down the other one far enough away to allow gel purification of your band.
3) Clone the mix into a plasmid vector (blunt or TA), pick clones, and sequence the insert of enough clones until you get the desired number of sequences from your band of interest.
4) Research further for a method much more high tech than mine above!
Good luck!
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Hello everybody. I work in RDA(South Korea). I have one question. What's the powerful genotype imputation programs in animal breeding? If i consider about imputation speed, Acc et al...
nowdays, what's be used the most imputation program?(ex: Impute, PLINK, BEAGLE, MaCH, AlphaImpute, FImpute, findhap, fastPHASE, PHASEBOOK)
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Hello there! I use either fastPhase or beagle . I have tried them with 777k chip as well..doesn't take much time.
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Good day all. Can anyone tell me what the best software is for the estimation of Ne from 50K SNP beadchip data? Can the software available handle this amount of markers, or is it going to be very time- and computationally intensive? Thank you in advance for your help. 
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Dear Simon,
The recently described software tool SNeP allows the estimation of Ne trends across generation using genome-wide SNP data.
Please find attached the very recent paper by Barbato et al. (2015) for more details:
SNeP: a tool to estimate trends in recent effective population size trajectories using genome-wide SNP data.
Good luck with your analysis!
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We have got an extensive list of IsoMir (cow genome used as map-file) after analyzing miRNA-seq data by miRAnalyzer (data were custom analyzed by s sequencing agency). Now we have the list in the following format:
SN microRNA Sample total UR total RC mature UR RC RC exact top Expr. exact /all mature* UR RC RC exact novel mature* exact/ total mature/ mature* align
1 bta-mir-191 MuBr 406 13499 bta-miR-191 400 13493 2202 FALSE 16.32 bta-mir-191-3p 4 4 1 TRUE 25 2202 details
2 bta-mir-1434 MuBr 605 12846 bta-miR-1434-5p 366 2900 1 FALSE 0.03 --- 0 0 0 FALSE 0 0 details
3 bta-mir-142 MuBr 490 8492 bta-miR-142-3p 348 6593 33 FALSE 0.5 bta-miR-142-5p 122 1872 21 FALSE 1.1 1.6 details
Please ignore the sample column. It is our code.
While clicking on the link "detail" on the last column,  we are getting as below:
Please suggest howto proceed with this?
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I have BAM files from several sheep with a linkage region of interest. There are 12 putative transcripts in this region which I will need to search for possible pathogenic variants. Is there a better way than manually searching through the sequence in IGV? Thanks!
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if you are looking for variant in your sequence that might be related to your disease, I will suggest using variant caller such as GATK or Samtool but you will need a little bit of computational analysis. Also, you can use the galaxy website in order to have this variant caller do the work for you... https://galaxyproject.org/
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Our normal flora specially intestinal type are living in our body millions of years and this leads us to think and even believe that our genome is shared in part with our normal flora so it is impossible to survive without these organisms living in our body.I  think we should treat them as an organ of our body like liver ,spleen,heart etc...
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You could take a look at this paper (see link)
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Does anyone have any references or literature about the most important mirRNAs which play role in mice with breast cancer? mirRNAs such as mir21,155,15,16,19, 206, 335 and others are involved in breast cancer promotion/ suppresstion. I would like to know which ones have the most important role and function in "mice" with breast cancer. Can anyone help me in this area?
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I am not sure whether this helps, I just wirk with miRNAs in humans. To get the functions of miRNAs in diseases or to see which miRNAs are related to a certain disease, I often use the "mir2Disease" database to get a first overview. Unforunately, this is just for humans, though.
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Hi guys!
I'm sequencing and assembling a de novo invertebrate genome of about 0,8Gb. I want to make a lane run of Illumina nextera mate-pairs, but I'm having some difficulty on selecting the size of the mate-pairs.
I saw that for de novo genomes is better if you have mate-pair-known sizes. So I was planning on doing 5kb and 10kb gel-size selection. However, the standard Illumina procedure is to make a random library of inserts ranging from 2kb to 15kb.
I was wondering how much bias it would insert for the de novo algoritm, lets say, allPaths, to assemble it? Does anyone of you have experience with that?
I don't know if I insist on trying to have the mate-pair with known insert size or if I just go for the random mate-pair library preparation (I have plenty of pair-ends already).
Any experinces you have, or papers to share, would help a lot! Thank you so much!
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One question first: Is the genome size correct? 800kbp does not sound right for me...
Regardless, based on my very limited experience with allPath and quite extensive experience with Newbler, I would strongly suggest to do a size selection. In most cases, a single 10k library will be sufficient. If you want to prepare for the worst, go for 5k and 15k. That will usually solve (almost) all problems. No size selection will also work most of the time, but the number of cases where we ran into problems with that approach was too high for my liking (~20% of all cases).
Concerning the paired-end reads I can also offer the advice to stick to the TruSeq PCR free libraries for de novo projects. Nextera will also work reasonably well for genomes with a G+C up to 65%, given that it does not contain too many repetitive regions. In contrast, using Nextera XT will most often lead to grief (and in the worst case you will not even notice the errors introduced).
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I am looking for mouse reference DNA from C57/129 WT mice which has been sequenced previously.
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Thanks ! I tried but unfortunately JAX labs no longer sells reference genomic DNA.
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The links below indicate "clear" connections between immunology and mobile genomics, especially when we look at the case of Paleo-immunology cerca and V(D)J recombination. 
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It is believed that V(D)J recombinase is closely related to the transposase of mobile elements. Thus, the connection between mobile elements and immunology.
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I want to compare genomes of two different species,but from the same genus. My motive is to find some different genes. what protocol or software can i use?
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There are different ways to compare the gene content between two different genomes two examples:
 1) A gene family analysis (http://en.wikipedia.org/wiki/Gene_family) can give you an idea about how genes that probably shared a common evolutionary history have been duplicated or removed in a specific species. The most used tool to perform a gene family analysis is OrthoMCL (http://orthomcl.org/orthomcl/). Once you have classify the genes by gene families other analysis can be done such as the evolution of the gene family using CAFE (http://sites.bio.indiana.edu/~hahnlab/Software.html). These analysis will let you know if there are specific duplications/losses of genes between the two species.
 2) Synteny analysis can give you an idea about the reorganization of the different genes along the genome. Combined with the gene family analysis can be a very powerful tool to detect tandem duplications and gene clusters and genomic reorganizations. Again there are different tools, one example is SyMap (http://www.agcol.arizona.edu/software/symap/).
  I hope this helps.
  
  
  
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Usual protocols shear the DNA too much. I know a protocol using digest after putting the nuclei into low melt agarose and then using pulse field gel electrophoresis. But this one seems complex/elaborate. Is there another, more simple way? The DNA would be from insects.
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I agree with Ian and Frédéric - embedding whole cells in agarose plugs and lysing is super easy and will effectively recover entire bacterial (≥5 Mbp) and eukaryotic chromosomes. This is where Bio-Rad gets some of their PFGE standards from (http://www.bio-rad.com/en-us/product/pulsed-field-standards). Getting the whole chromosomes out of the agarose in one piece is tricky and requires something like beta-agarase (https://www.neb.com/products/m0392-agarase-i) or electroelution (http://www.jove.com/video/2136/electroeluting-dna-fragments).
However, these techniques do allow you to isolate specific chromosomes after running them out by PFGE. I did this to extract a 856kb bacterial chromosome once upon a time for a small insert shotgun clone library.