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Bowtie
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Is possible to use NOISeq with counts from RSubread?
noiseq
rsubread
tophat
bowtie
bowtie2
6.3 years ago
Marcelo Laia
▴ 450
2
votes
4
replies
2.1k
views
Bowtie % mapped reads for DGE
Bowtie
quasr
rnaseq
updated 9.7 years ago by
Dario Strbenac
★ 1.6k • written 9.7 years ago by
tarek.mohamed
▴ 10
2
votes
9
replies
8.7k
views
Multiple alignments (multi-mapped reads) and DESeq/edgeR pipeline
deseq
deseq2
edger
tophat
bowtie
10.3 years ago
ysdel
▴ 40
1
vote
4
replies
1.9k
views
Importing Bowtie result into R
r
bowtie
updated 10.3 years ago by
Sean Davis
21k • written 10.3 years ago by
a.afshinfard
▴ 10
4 results • Page
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Answer: DiffBind - question on the use of filtered or unfiltered input data
by
vejogos850
• 0
DiffBind - question on the use of filtered or unfiltered input data is the best to deal with, and it provides us the solutions that we are …
Answer: Help with defining groups
by
Gordon Smyth
53k
Defining sample groups is separate to reading in the DIA-NN data, because the sample conditions and covariates are not necessarily coded in…
Comment: Sharing a collection of datasets in ExperimentHub
by
Peter Hickey
▴ 760
The [**scRNAseq**](https://bioconductor.org/packages/scRNAseq/) package ([source on GitHub](https://github.com/LTLA/scRNAseq)) might serve …
Comment: Using DESeq2 on single cell RNA Seq data of same cell type but different conditi
by
ReinholdGaylord99
• 0
Thank you so much! https://www.nature.com/articles/s41467-021-25960-2/ [geometry dash lite](https://geometrydashlite.online)
Comment: Guidance on limma for pseudobulk scRNA-seq with multi-factor design
by
Gordon Smyth
53k
I'm not sure that I understand. You have a dataset that, even after pseudo-bulking, still has 6000 samples? That is surprising. Retaining …
Votes
Comment: readDNAStringSet with non DNA characters
Comment: Guidance on limma for pseudobulk scRNA-seq with multi-factor design
Answer: Guidance on limma for pseudobulk scRNA-seq with multi-factor design
Answer: Guidance on limma for pseudobulk scRNA-seq with multi-factor design
Comment: Guidance on limma for pseudobulk scRNA-seq with multi-factor design
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