More posts like this
-
efetch from NCBI E-utilities returns "curl error s 400 & 500" and takes a very long time
written by Eugene •I run this command to download ~4,000 gene sequences for invA gene for taxonomy# 28901. It works fine for smaller datasets, but ... but takes …
-
Calculation of gene expression 2^-ΔΔCt.
written by eugene •Hello! I have a question related to the evaluation of gene expression. **"2^-ΔΔCt" should be calculated for each sample or should the average value be …
-
How to calculate 2^-∆∆Ct correctly?
written by eugene •the issue is resolved
-
slurm configuration for cromwell server
written by Eugene ASo far, I can describe my question only in general words, but hopefully someone can help me further narrow it down. I am trying to …
-
Building vcf from most common alleles
written by Eugene •I have a vcf file that contains variant calls at many sites across multiple [haploid] samples (FreeBayes or GATK output). The sequenced samples are derivatives …
-
Gnomad genome vs Gnomad exom (extremely rare Ref case)
written by Eugene AHi, I've accidently noticed that an SNP with close to 1 allele frequency in Gnomad exom does not show up in gnomad Genome and that …
-
Forum: Will de novo protein structure prediction research become irrelevant?
written by rayoubWill de novo protein structure prediction research become irrelevant as structural genomics advances and the number of solved structures available for homology modeling increases? I …
-
Differential expression with leave one out?
written by Eugene AHi everyone, I have a general question concerning RNAseq analysis. I'm running the analysis, comparing 17 vs 39 biological replicas and the goal is to …
-
how to write the output of a loop in R
written by mms140130No need for the question I have solved it by myself. There was no answer thank you
-
How can I be sure, that my solved protein structure has a new fold?
written by 236585 •I have tried several webs (CATH, Dali, ProFunc, Pfam) to classify my structure into some fold / superfamily, but they did not find anything (Dali, …
Are you rows here technical replicates or biological replicates? Normally we should calculate the average ct across our technical replicates. And then calculate separately a ddct for each of the biological replicates (using the average of the technical replicates).
Numbers from 1 to 5 or from 11 to 15 mean different organisms (i.e. 5 different animals in the control and experimental group and the only difference between them is a dietary supplement). And during real-time PCR, I did three repetitions for each organism. cDNA from one organism (for example, number 1) got into the wells of the PCR tablet A1-B1-C1 and then I made an average of the values.
As far as I understand, these are biological replicates.