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shrna
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2
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1.9k
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Using edgeR for small shRNA-seq screen analysis
edger
shrna
8.7 years ago
sirintra
▴ 10
2
votes
2
replies
2.4k
views
Analysis of shRNA screen data
shrna
edger
deseq2
differential expression
normalized counts
9.3 years ago
Jane Merlevede
▴ 90
1
vote
1
reply
1.3k
views
limma for shRNA dropout screen analysis?
limma
gmap
shRNA
dropout screen
updated 9.5 years ago by
Aaron Lun
★ 29k • written 9.5 years ago by
Anna Dvorkin
▴ 40
4
votes
4
replies
2.1k
views
edgeR:processAmplicons barcode match only 57% when it should be 100% -- I artificially inserted them -- are there other assumptions
edgeR
processamplicons
shrna
updated 10.0 years ago by
thomas.leete
• 0 • written 10.1 years ago by
Anne Deslattes Mays
▴ 10
0
votes
5
replies
3.2k
views
example fastq file, sampleAnnotaition and Hairpin file for shRNAseq/EdgeR tool
shRNAseq
edgeR
shRNA
updated 10.2 years ago by
Gordon Smyth
53k • written 10.2 years ago by
KB
▴ 50
5 results • Page
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Comment: Highly similar RNA-seq samples in PCA - pooling or technical duplication?
by
Ahmed Salah
• 0
Thank you very much, @ATpoint and @kevin , for your valuable insights. I have carefully checked all your suggestions. First, I examined th…
Answer: Finding duplicated entries in GRangesList
by
Kevin Blighe
★ 4.0k
The duplicated and unique functions operate element-wise on GRangesList objects. This means that they apply the respective function to each…
Answer: DESeq2 on non-RNASeq counts data
by
Kevin Blighe
★ 4.0k
The use of DESeq2 for count data from artificial sequences is acceptable, as the program models counts via a negative binomial distribution…
Answer: After running samtools, the featureCounts command crashed.
by
Kevin Blighe
★ 4.0k
Hello Rui Tang, The buffer overflow error in featureCounts that you encountered is likely due to a compatibility issue between the Subre…
Answer: Problem with the TMB plot
by
Kevin Blighe
★ 4.0k
The issue that you describe with the tumor mutational burden (TMB) plots appearing linear and lacking consistent TMB values across samples …
Votes
Answer: Highly similar RNA-seq samples in PCA - pooling or technical duplication?
Comment: Highly similar RNA-seq samples in PCA - pooling or technical duplication?
Answer: Post translational modifications and phosphoproteomics in limpa?
Answer: Post translational modifications and phosphoproteomics in limpa?
Answer: Identifying differentially expressed genes in individual samples from a large co
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