Questions tagged [deseq2]
The deseq2 tag has no usage guidance.
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3answers
110 views
Install DESeq2 through anaconda
I tried running conda install -c bioconda bioconductor-deseq2 in a conda environment, but when I run ...
2
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1answer
33 views
DESeqDataSetFromTximport invalid rownames length
I am trying to use DESeqDataSetFromTximport function from DESeq2 package to construct dds ...
-1
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2answers
18 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 ...
0
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1answer
22 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 ...
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0answers
17 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.
...
1
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1answer
60 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 ...
1
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1answer
41 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
95 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 ...
2
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2answers
147 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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3
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2answers
34 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
83 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 ...
0
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1answer
207 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
35 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?
0
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1answer
28 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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0
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1answer
160 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
59 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
37 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 ...
1
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1answer
128 views
Salmon tximport
I ran bulk RNA-seq experiment and got quant.sf file. Now, I am struggling with understanding what ...
2
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1answer
42 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 ...
1
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1answer
62 views
Negative binomial modeling of RNA-Seq data
A common way to model RNA-seq data is using a negative binomial distribution, where each sample-gene pair is modeled by a different negative binomial distribution with mean $\mu_{ij}$ where $i$ and $j$...
1
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1answer
67 views
Error in checkFullRank(modelMatrix) deseq2
Trying to use deseq2 for differential expression analysis (rna-seq) between three groups and also account for batch effect as the control were sequenced at a different time point.
control: con
...
4
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1answer
79 views
What are the count units in DEseq2?
This is a pretty silly/simple question, I suppose.
What units are DESeq2 counts? Or are the units arbitrary but internally consistent estimate of actual reads?
1
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1answer
78 views
Why do I obtain very strange results with DESeq2?
I am using DESeq2 to perform a differential expression analysis, but I obtained very strange results for some genes. For some genes, I have very high log2FoldChange with very low p-value as displayed ...
5
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1answer
66 views
How can I specify to DEseq2 to only perform comparisons on which I am interested with?
I am currently performing a large RNA-seq analysis from mice PBMCs. The dataset contains around 6,000 transcriptomic profiles and I would like to use DESeq2 to identify the sets of differentially ...
9
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2answers
213 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 ...
3
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2answers
209 views
Is it possible to create a DESeqDataSet with a user-provided design matrix?
I'm trying to run a differential gene expression analysis using DESeq2, with counts coming from kallisto. I have imported them using tximport and I'm creating the ...
6
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2answers
222 views
differential gene expression complex design no replicates
We have an experimental design as seen below
Where we administered drug at 0 min for each mouse genotype and took them down at given below intervals. wt and ko mouse models were administered only ...
6
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1answer
279 views
Trouble using biomaRt to retrieve hgnc symbols from Ensembl transcript ids
I have a matrix of gene counts which I'm going to use as input for DESeq. Right now, each gene is labeled by its Ensemble transcript ID, but I'd like to convert these to their HGNC symbols before I ...
5
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2answers
326 views
Running differential expression analyses on count matrices with many zeroes
Note: I also posted this issue (with less context) in the bioconductor support site: https://support.bioconductor.org/p/97424/
I'm working on a snakemake workflow that identifies various small RNA ...
3
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1answer
274 views
What are the ways to process a list of differentially expressed genes?
We are studying six different human macrophage/dendritic cell types isolated from healthy skin. They all differ from each other in a few cell surface markers.
We are interested in the characteristics ...
10
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2answers
264 views
Can I model technical replicates in DESeq2?
I’d normally use collapseReplicates (or do the collapsing upstream) to handle technical replicates.
However, in my current RNA-seq experimental design, samples ...
12
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2answers
726 views
How can I extract normalized read count values from DESeq2 results?
The results obtained by running the results command from DESeq2 contain a "baseMean" column, which I assume is the mean across samples of the normalized counts for ...
12
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2answers
2k views
Understanding DESeq2 design, contrast and results
I have a set of high-troughput experiments with 2 genotypes ("WT" and "prg1") and 3 treatments ("RT", "HS30" and "HS30RT120"), and there are 2 replicates for each of the genotype x treatment ...
