Questions tagged [edger]

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1answer
27 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
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1answer
58 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
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1answer
19 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
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0answers
59 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
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0answers
19 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
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0answers
37 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
163 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
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1answer
64 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
59 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
221 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
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1answer
392 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
435 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
131 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
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0answers
432 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
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2answers
351 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
307 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
214 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?