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LongRead
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2
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Transcript expression analysis in edgeR from gtf file obtained from merging long read rna-seq and standard gencode gtf
RNASeq
edgeR
LongRead
Transcript
5 weeks ago
mohammedtoufiq91
▴ 10
0
votes
1
reply
1.2k
views
ONT long-read RNA sequencing - data analysis options
DESeq2
LongRead
DEXSeq
IsoformSwitchAnalyzeR
RNASeq
updated 17 months ago by
Michael Love
43k • written 17 months ago by
09191919
• 0
2
votes
2
replies
1.8k
views
Long-read mode in featureCounts
Rsubread
LongRead
23 months ago
mmisak
• 0
4
votes
8
replies
4.2k
views
How to normalize long-read RNA-seq data for comparison with short-reads
NanoporeRNASeq
LongRead
Normalization
ShortRead
IlluminaRNASeq
updated 14 months ago by
callumjcparr
• 0 • written 2.6 years ago by
Bernardo
▴ 10
4 results • Page
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Comment: readDNAStringSet with non DNA characters
by
biomiha
▴ 20
DECIPHER does the trick, thank you!
Comment: Guidance on limma for pseudobulk scRNA-seq with multi-factor design
by
James W. MacDonald
68k
It may not be that common for bulk RNA-Seq, but in my experience it's very common for bulk miRNA-Seq.
Comment: Guidance on limma for pseudobulk scRNA-seq with multi-factor design
by
abaed
• 0
Nice. That's great to hear. `sva` was actually the next step I was planning to try. My colleagues haven't seen this kind of pattern before …
Comment: Guidance on limma for pseudobulk scRNA-seq with multi-factor design
by
James W. MacDonald
68k
It is not uncommon for library size to be apparent in an MDS plot. You can use `sva` or `RUV` to account for that.
Comment: p-adjusted values in multiple comparisons
by
Josh
• 0
Yes, using lmFit with block and duplicateCorrelation is appropriate; mobile data collection can illustrate blocking importance. First estim…
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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