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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
3
votes
2
replies
772
views
Transcript expression analysis using EdgeR
edgeR
Transcript
RNASeq
8 weeks ago
mohammedtoufiq91
▴ 10
5
votes
5
replies
2.7k
views
threeUTRsByTranscript per GENE
GenomicFeatures
Transcript
gene
threeUTRsByTranscript
updated 4.6 years ago by
Dario Strbenac
★ 1.6k • written 6.1 years ago by
amgtech
▴ 10
0
votes
1
reply
1.8k
views
HTA analysis at transcript level
pd.hta.2.0
transcript
differential gene expression
updated 9.9 years ago by
James W. MacDonald
68k • written 9.9 years ago by
jacorvar
▴ 40
4 results • Page
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Comment: Visualization of Functional Enrichment Result with enrichplot: How to control la
by
zhaoqiansun0592
• 0
Wow, this is super helpful! I always struggle with label sizes in enrichplot. Glad to see a solution using gginnards([Pasjans][1]) and ggre…
Comment: Could we detect difference at pathway level but not significant different at gen
by
zhaoqiansun0592
• 0
Interesting question! It's cool that ChatGPT4 gave such a helpful answer. I've also been wondering if pathways([space waves][1]) can show d…
Comment: Perform gene set enrichment analysis using fgsea on two conditions that don't ha
by
zhaoqiansun0592
• 0
Good to know there are workarounds for these tricky [doodle baseball][1]! Thanks for sharing the tips! [1]: https://doodle-baseball.cc/
Comment: GO.db and others package Download failure
by
James W. MacDonald
68k
Also, you never need to use anything but `BiocManager::install` to install any package, which has the beneficial side effect of ensuring th…
Comment: GO.db and others package Download failure
by
James W. MacDonald
68k
Yes. Your packages have odd Y version numbers (where the version is X.Y.Z). That means they are devel packages (release versions have even …
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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