Questions tagged [deseq2]

Deseq2 is an R package for analyzing RNA sequencing data

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1answer
47 views

How to design DESeq2 LRT model with individuals nested in 2 levels?

We have a complicated experimental design that we would like to perform LRT analysis for. Our main goal is to discover significant genes for the "Injection:Social" interaction term across ...
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1answer
50 views

DESeqDataSetFromTximport all(lengths > 0) is not TRUE

I am suddenly running into an error when running the DESeqDataSetFromTximport ...
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1answer
25 views

Is it conflicting: significant difference according to Wald test but not in PERMANOVA and ANOSIM to compare species abundances of metagenomic samples?

If there is no significant difference between two groups of metagenomic samples according to "Multivariate differential abundance tests" for example PERMANOVA and ANOSIM, does it makes sense to use "...
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2answers
35 views

Ranking metric in GSEA

I am using fgsea in r to calculate and plot a bunch of GSEA graphs. My question is whether it is acceptable to use the Wald statistic from DeSeq2 to rank the gene list? I have seen in the GSEA ...
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1answer
38 views

How to incorportate RIN values as covariate in the design matrix?

I have been following the last DESeq2 pipeline to perform an RNAseq analysis with a dataset with low rin samples in the experimental (or treated) and high rin on the control ones. I read a paper in ...
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1answer
52 views

Should biological replicates be the most similar pairs in an RNAseq experiment?

The attached figure (from deseq2) shows the sample to sample distances of a RNAseq experiment with 4 conditions (A,B,C,D) at 2 time points (0h,4h) with 2 biological replicates. I am a little bit ...
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2answers
32 views

Identify differentially covered genes only between two samples

I have a question about finding differentially covered regions (coverage represents methylation level which goes from 0 to several thousands). I'm using enrichment based method which can be summarized ...
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0answers
29 views

vst() from DESeq2 vs voom() from limma

I have used both to transform my leukaemia RNA-Seq data for subsequent hierarchical clustering. The result is quite different. Some subtypes of leukaemia only form a cluster (or at least sit closer) ...
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1answer
25 views

DESeq2 compare within a condition

This might be a really stupid question, but I can't figure out how to do this. I've read through the DESeq2 vignette and manual pages but couldn't find an answer. I have a bunch of samples split up ...
2
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2answers
30 views

Is there a computational tool or possibility to identify mRNA isoforms from the count matrix of a bulk RNA sequencing dataset?

I have the counts matrix of an RNA sequencing dataset of fibroblasts and I wish to identify isoforms of a particular gene of interest in it. Can anyone please hint me on a bioinformatics method to ...
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1answer
57 views

How do I differentiate outliers from in-group variations in a DESeq2 PCA plot of 9 samples distributed into 3 conditions?

I have a PCA plot from DESeq2's plotPCA(vsd, intgroup=c("conditions")) function. I have 9 samples distributed in to 3 groups of 3 biological replicates each. My ...
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1answer
46 views

How are these definitions related to differential expression?

I have two groups of patients; for each patient I have an output file (RNA-seq) contains this information ...
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2answers
494 views

STAR quantMode vs RSEM vs Kallisto

I recently discovered this Snakemake pipeline for RNASeq that uses STAR's quantMode to quantify gene expression for DESeq2 differential expression analysis. In the past I've always seen the workflow ...
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1answer
27 views

Comparing factor levels in deseq2

I have sample information (sampleinfo) in this format: ...
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1answer
80 views

RNASeq: Normalization, stabilization, gene length and rlog

I was thinking about the best method for normalization, which takes gene length into account (in order to compare genes)... Do you think I can do that? : - taking raw counts and dividing each gene by ...
0
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1answer
85 views

How I deal with this kind of gene expression comparision

I have RNA-seq from two sequencing batches; Lab technician says that he has run the RNA expression quantification two times in bathes 1 and 2 for example tumor 1 in batch 1 and tumor 1 in batch 2 , ...
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2answers
173 views

Interpreting this PCA plot for RNA-seq

I have RNA-seq from two sequencing batches; Lab technician says that he has run the RNA expression quantification two times in bathes 1 and 2 for example ...
1
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1answer
91 views

Comparing RNA-Seq and Ribo-Seq

I'm attempting to compare total RNA-seq with Ribo-Seq, to determine if changes in Ribo-Seq are due to changes in transcriptional expression (akin to the analysis performed by Anota2Seq). I am, however,...
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1answer
126 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
46 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 ...
5
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1answer
68 views

design formula question

I am not sure I am building the proper design formula for the question I want to answer I have the following samples with three factors; clone, the structure and the condition. ...
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1answer
144 views

Why does DESeq2 convert numeric columns to factor during differential expression analysis?

I'm attempting to perform differential expression analysis using DESeq2 on a dataset of ~90 samples and ~20000 transcripts. I have a number of variables I'd like to test against, some of which are ...
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0answers
221 views

Is it advisable to remove X and Y chromosome genes in a bulk RNA-seq dataset at the level of the count matrix?

From this link remove X and Y chromosome genes in RNA-seq data using DESeq2 pipeline, I have learned that depending on context, it is perfectly valid to remove X and Y chromosomal genes in an RNA-seq ...
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1answer
89 views

How to get log2 fold change of RNA-Seq data for time series experiment?

I know if there is one control and one treatment group it is pretty straight forward to interpret log 2 fold change. But, I have time course experiment. I have infected cells with viruses and I ...
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166 views

Differential expression analysis when nested effects

I have 3 tumour samples from 3 patients from an experiment, I also downloaded 10 normal samples from TCGA. My design is like this ...
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1answer
38 views

Finding genes especific to microenvironment

I have RNA-seq .bam files for 3 patients, tumour and its matched derived model, namely organoid, but I don't have any matched normal sample. Differentially expressed genes between a tumour and its ...
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2answers
767 views

Installing DESeq2 in Ubuntu

I am trying to install DESeq2 in my Ubuntu with R version 3.5.1. According to the package repository in Bioconductor the version should be 3.5. ...
3
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1answer
166 views

Removing genes with less than a correlation cut-off between two matrices

I have two matrices like this: ...
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59 views

Making a model of gene contribution in cancer diagnosis

I have raw read counts (Edgeseq technology) of 56 patients who have been ranked with Mandard score as responders and non-responders; I have done differential expression by DESeq2 and I obtained a ...
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1answer
69 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 ...
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2answers
197 views

PCA plot shows big difference but not many differentially expressed genes are found

I got a PCA plot of bulk RNA-seq experiment that looks the following way: It was generated by the following code: ...
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3answers
1k views

Install DESeq2 through anaconda

I tried running conda install -c bioconda bioconductor-deseq2 in a conda environment, but when I run ...
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2answers
495 views

DESeqDataSetFromTximport invalid rownames length

I am trying to use DESeqDataSetFromTximport function from DESeq2 package to construct dds ...
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2answers
339 views

levels of factors in the design have non-unique level names after make.names() is applied

When I try to import the data using DESeq2 package: dds <- DESeqDataSetFromTximport(txi, sampleTable, ~Group + Cre) I am ...
2
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1answer
620 views

How to get the corrected matrix after SVA batch effect correction

I ran SVA to remove batch effects for my bulk RNAseq experiments, but now I need to somehow correct my data matrix in order to ...
2
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1answer
259 views

How to input data for DESeq2 from individual HTSeq count?

I am comparing the gene expression of 2 bacteria under 1 condition. I have now the count tables for 3 tech. replicates for each bacteria. ...
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1answer
278 views

Compare clusters from different datasets

I have two scRNAseq datasets, and I select a cluster from one of them, and another cluster from the other. I want to find differentially expressed genes between the ...
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1answer
466 views

DESeq2 complicated design - effect of replicated samples

I have RNAseq data from a relatively complicated experimental design with variables = genotype, treatment, time, and batch. I have 2 biological replicates for each genotype/condition, however ...
2
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3answers
180 views

Selection of differential expressed genes

I'm working with RNA-seq data. I have 40 tumor samples and 5 Normal samples. Differential analysis with Deseq2 based on Fold change > 1.2 and alpha < 0.05 gave ...
3
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2answers
1k views

gene-level versus transcript-level analysis

Traditionally, RNA-seq data was quantified on gene level. Newer methods quantify on transcript/isoform level. For example, Kallisto only outputs transcript-level abundances. From the DESeq2 vignette: ...
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2answers
39 views

Can I ask DESeq2 which variable alone explains which gene's behavior the best?

Imagine I have a dataset of highly periodic gene expression, taken at densely spaced timepoints. I know that the expression is periodic, but different genes have different offsets. It is trivial to ...
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0answers
428 views

Likelihood Ratio Test in DEseq2

I have a RNA seq data which I am trying to identify DEGs. Dataset contains: Untreated - 2 replicates (time point 1st day) Treated - 4 replicates (2 replicates at 3rd day & 2 replicates at 7th ...
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1answer
1k views

Transform and feed data into DESeq2 with DESeqDataSetFromMatrix

There is a normalized expression matrix. I split it into two and want to do DE on the two cells' subsets. I am having trouble ...
0
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1answer
72 views

differentially expressed intron analysis?

I have used Deseq for estimating the differentially expressed introns for the RNA seq data using the UCSC intron bed file. can Deseq be used for differentially expressed intron analysis?
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1answer
43 views

Deseq2 output issue

3 Control replicate and 2 test sample ,so Im comparing my Control which is my Progenitor cells to Monocyte which is mature stage this is my code im using ...
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1answer
944 views

Highly variable genes analysis by DESeq2

In the following article. There are two ways of getting highly variable genes: ...
4
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1answer
94 views

plotMA function issue: can not circle genes

I am trying to make MA-plot for my bulk-RNA-seq dataset and experiencing issues with it. I just copy-pasted the code that can be ...
0
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1answer
46 views

DeSeqDataSet experimental design: column with integer values

I am creating DeSeqDataSet and I am unsure whether I need to include the number of mice into the design formula. Basically, the samples look like that: I have 4 ...
2
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1answer
348 views

Salmon tximport

I ran bulk RNA-seq experiment and got quant.sf file. Now, I am struggling with understanding what ...
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1answer
99 views

LRT or LRT-like test on cyclical (Sleep) data

I have RNA-Seq data from 4 time points (3 hours awake, 9 hours awake, 3 hours asleep, 9 hours asleep). I'm interested in doing something similar to a LRT where genes are found to be significant if ...