How do they differ? dioecious, Monoecious, hemaphrodite and perfect flowers?

For H202 radical scavenging assay. How to prepare 40 mM hydrogen peroxide from 30% H2O2 solution ? Thanks in advance.

Using AGE, we are trying to check whether our DNA samples were amplified following PCR.

Here are the details of our gel run:

> Lane 1 is loaded with an expired 100 bp DNA ladder (for testing purposes, i.e. will expired ladders still present with distinct bands).

> Lane 2 is supposed to be a 236 bp product.

> Lane 4 is supposed to be a 667 bp product.

> Lanes 3 and 5 are each supposed to be 86 bp products after PCR using b-Actin primers.

Lanes 2 and 3 underwent the same PCR conditions (we followed the protocols stated in a published study that was able to produce the 236 bp product).

Lanes 4 and 5 were run in the same PCR conditions (according to published protocols that successfully produced a 667 bp product).

My question is (without minding the ladder) why does the supposed 236 bp product appear to align with the 86 bp product, considering their huge size difference? And why does the supposed 667 bp product appear only a small distance away from both of the aforementioned?

We know that the smaller sequences should travel the gel considerably further than larger ones.

Our predicament is that we are not sure if the appearing bands are really our amplified samples or just primer dimers/noise/whatever they are.

Thus, 1) may any of you please confirm if those bands are really amplified DNA. If they are, 2) what can we do to improve the distance/distinction between the bands besides increasing the agarose concentration?

FYI, gel is 3% w/v agarose. Samples were ran for 30 mins on 100 V.

Much thanks in advance to whoever answers!

Will happily share our PCR mastermixes and protocols if necessary.

***

Note: The images are of the same gel, just at varying contrasts.

Is there any metadata analysis for tropical and temperate regions?

Hello colleagues

Is there a specific way to collect and calculate the density of spiders somewhere?

For my dissertation, one of my committee members has suggested that I use statistical tests of normality to assess my data before using the data to create a latent variable. I have heard before that using statistical tests of normality (e.g., shapiro-wilk) can be too sensitive and often results in data being deemed "non-normal". When I use the shapiro-wilk test it is statistically significant, indicating my data is not normally distributed. However, I have also come across rules of thumb for ranges of skewness and kurtosis (e.g., Tabachnick & Fidell, 2013; Curran et al., 1996). When I use these, my data is within the limits recommended.

I want to use the rules of thumb to argue that my data was normally distributed enough to use it to create a latent variable. So, I was wondering if anyone has arguments against using statistical tests of normality.

Thanks very much,

Sarah

Dear all, hope you all are doing well,

I have assembled the transcriptome data of Tagetes erecta Leaf (SRR7641101) and Tagetes erecta flower (SRR7641100) by using Trinity assembler. Now I want to do differential gene expression analysis of the same and was running RSEM to generate count matrix by the following command...

/mnt/c/Users/Delluser/Desktop/NGS/Trinityrnaseq-v2.6.6/util/align_and_estimate_abundance.pl --seqType fq \ --transcripts /mnt/d/RSEM/Trinity.fasta \ --left /mnt/d/RSEM/Tagetes_erecta_SRR7641101_Leaf/TAGETESL_2.fastq.gz \ --right /mnt/d/RSEM/Tagetes_erecta_SRR7641101_Leaf/trim_TAGETESL_1.fastq.gz \ --est_method RSEM \ --aln_method bowtie \ --trinity_mode \ --prep_reference \ --output_dir /mnt/d/RSEM/RSEM_Leaf

And after running the above command I'm getting an error which is as follows...

[E::sam_hrecs_update_hashes] Duplicate entry "TRINITY_DN4744_c0_g1_i1" in sam header samtools view: failed to add PG line to the header samtools sort: failed to read header from "-" Error while flushing and closing output Error, cmd: set -o pipefail && bowtie -q --all --best --strata -m 300 --chunkmbs 512 -X 800 -S -p 4 /mnt/d/RSEM/Trinity.fasta.bowtie -1 <(gunzip -c /mnt/d/RSEM/Tagetes_erecta_SRR7641101_Leaf/TAGETESL_2.fastq.gz) -2 <(gunzip -c /mnt/d/RSEM/Tagetes_erecta_SRR7641101_Leaf/trim_TAGETESL_1.fastq.gz) | samtools view -F 4 -S -b | samtools sort -n -o bowtie.bam  died with ret: 256 at /mnt/c/Users/Delluser/Desktop/NGS/Trinityrnaseq-v2.6.6/util/align_and_estimate_abundance.pl line 790.

Please help and let me know how can i solve the above problem.

thank you.

I am seeing a gene expression through Rtpcr .so wanted to know which method I should use for gene expression .is 2^-delta ct method I can use over 2^-delta delta ct

Can Total Organic Carbon (TOC) of a waste water sample be measured spectrophotometrically?