Questions tagged [edger]
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18
questions
2
votes
2answers
198 views
What do these files / annotations mean?
I have no experience in Bioinformatics and I need to understand what the annotations given here mean (I am including the first few lines, please see the link for more):
...
0
votes
1answer
39 views
RNA-seq: How to get new expression count after normalization
I've RNA seq, Human, Paired-end data, Sample size is <40. These are aligned using STAR, RSEM processed. With RSEM I've TPM and expected counts, that is two files columns as individual IDs and row ...
0
votes
1answer
101 views
Correlate DEGs from DESeq2, EdgeR and Limma results
I have a lists of DEGs identified by DESeq2, EdgeR and Limma.
I would like to correlate the the gene rankings in the lists to decide on a package to use in downstream analysis.
I am havig a few ...
0
votes
1answer
34 views
Single sample in group: normal pipeline or Kal's Z test
As stated, which one is better for differential expression analysis? When I say normal pipeline I mean limma-voom, edgeR and DESeq2 pipeline for standard analysis. Kal's z test is mentioned in this ...
1
vote
0answers
199 views
What is the formula for Mg values in TMM normalization for RNA Seq data?
I am reading through the paper "A scaling normalization method for differential expression analysis of RNA-seq data" by Mark D Robinson, Alicia Oshlack, available here.
In this paper they introduce a ...
0
votes
0answers
41 views
Normalization for microbiome 16s sequence analysis
The way I understand things, normalization (such as in DeSeq2, EdgeR, etc.) serves two purposes: 1) Model the "real" abundance in the original samples from the read counts, 2) Make the abundance ...
1
vote
0answers
50 views
Gene ratio as imput in limma
I have a data frame with gene-expression ratio. Is it possible to input this into limma/voom to find signinficannt gene-ratios between groups of samples?
my data:
...
1
vote
1answer
329 views
Calculating Z-score from logCPM values using edgeR
I have the raw counts for RNA-Seq data. I converted counts data to logCPM using edgeR package.
Lets say I have a dataframe A with 15000 genes as rows and 100 ...
0
votes
1answer
65 views
Experimental Design for Differential expreression analysis
I have a Normal esophageal Fibroblasts (NOFs) cultured in DMEM media; The same NOF also have been cultured with a tumor sample from a patient named 005 on DMEM media; I have also Cancer Associated ...
0
votes
1answer
106 views
Error in quantile.default(x, p = p) in EgdeR calcNormFactors
I am trying to run TMM normalization using rpy2 and when I run calcNormFactors() function:
<...
5
votes
1answer
358 views
How is prior.count used by edgeR's cpm
edgeR's cpm function has an argument called prior.count. Based on my understanding of the documentation, it is supposed to be adding a fixed number per sample which ...
0
votes
1answer
571 views
Batch Effects in RNA Seq Sample
I am using the R (using EdgeR) for the RNA Seq analysis, I had few batch effect samples like Control vs treatment. Could anyone tell me the best way to remove the batch effects.
I have looked into ...
1
vote
1answer
654 views
How to calculate logCPM across all samples?
Using edgeR for differential analysis between Tumor and Normal gave me differential expressed genes with logFC, logCPM, PValue and FDR.
From the details of glmTreat function I see that logCPM is ...
1
vote
2answers
194 views
What could be the reason for the samples not clustering?
I'm performing RNA-seq analysis. I have used Hisat2 for aligning reads to the genome and stringtie for quantification and extracted read count information directly from the files generated by ...
2
votes
0answers
602 views
Which R package to use for differential analysis with TPM values?
I'm using hisat2, stringtie tools for the RNA-Seq analysis. After stringtie using ballgown I get FPKM and TPM values for every gene.
I have seen that edgeR, Deseq2 can be used for Counts data. I ...
10
votes
2answers
466 views
*very* unbalanced group sizes for DE
I downloaded some publicly available RNA-seq data and want to compare those samples carrying a mutation (~4) against the rest (~800!). I ran both EdgeR and DESeq2, and the first results in an ...
8
votes
1answer
336 views
When performing differential expression analysis, should genes with low read counts be removed before or after normalization?
I have RNA seq data which I've quantified using Kallisto. I'd like to use tximport to transform the read count data into input for EdgeR, following the R code supplied in the tximport documentation:
...
9
votes
1answer
260 views
confidence ellipses for MDS plot in edgeR?
Is it possible to draw e.g. 95% confidence ellipses around samples from the same group on the results from the plotMDS function under edgeR? If so, how?
