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tophat
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python and R
snpeff
python
tophat
r
RNAseq123
updated 3.3 years ago by
Kevin Blighe
★ 4.0k • written 3.3 years ago by
kusum
• 0
0
votes
1
reply
1.0k
views
Is possible to use NOISeq with counts from RSubread?
noiseq
rsubread
tophat
bowtie
bowtie2
5.5 years ago
Marcelo Laia
▴ 450
0
votes
1
reply
1.1k
views
Filtering Tophat/cufflinks data for GSEA with topGO
topGO
tophat
kolmogorov-smirnov test
updated 7.4 years ago by
James W. MacDonald
67k • written 7.4 years ago by
aaronrosenstein
• 0
2
votes
3
replies
2.4k
views
SystemPipeR: alignments with ambiguous pairing were dumped.
R
rnaseq
tophat
summarizeoverlaps
systempiper
updated 8.1 years ago by
Thomas Girke
★ 1.7k • written 8.1 years ago by
abass.conteh
• 0
2
votes
9
replies
8.0k
views
Multiple alignments (multi-mapped reads) and DESeq/edgeR pipeline
deseq
deseq2
edger
tophat
bowtie
9.4 years ago
ysdel
▴ 40
0
votes
3
replies
2.6k
views
Error when counting reads in genes with summarizeOverlaps (Genomic-Aligments package)
rnaseq
summarizeOverlaps
deseq2
tophat
genomicalignments
updated 10.0 years ago by
Dan Tenenbaum
★ 8.2k • written 10.0 years ago by
alejandro.colaneri
▴ 20
6 results • Page
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Replies
Answer: Deseq2 res Function
by
Michael Love
43k
> Does this mean the young and KO groups were numerators and denominators in the analysis, respectively? Read over the vignette and work…
Answer: ANOVA like approach of edgeR
by
Gordon Smyth
51k
You need to clarify whether interactions are present for the two factors in your study. In the two factors do not interact, then the code y…
Answer: Create Illmina bead summary data
by
Gordon Smyth
51k
GenomeStudio produces IDAT files that you can read using the `read.idat` function in limma. That is the recommended way to read GenomeStudi…
Comment: Help with RSEM counts: do I transpose matrix?
by
NB
• 0
OK thank you.
Comment: Help with RSEM counts: do I transpose matrix?
by
James W. MacDonald
67k
You can ask here, but please read the `DESeq2` vignette first, which should answer most questions.
Votes
Answer: Deseq2 res Function
Answer: BiocNeighbours Utility for k-Nearest Neighbour Classification
Answer: ANOVA like approach of edgeR
Answer: ANOVA like approach of edgeR
Comment: ANOVA like approach of edgeR
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