Bioconductor TxDb.Mmusculus.UCSC.mm9.knownGene

Showing : TxDb.Mmusculus.UCSC.mm9.knownGene • reset

0

votes

1

reply

652

views

TxDb.Mmusculus.UCSC.mm9.knownGene ensembldb GenomicFeatures Mus_musculus

updated 12 months ago by James W. MacDonald 68k • written 12 months ago by ramonmassoni ▴ 10

7

votes

11

replies

5.6k

views

annotatePeak chipseeker chipseq org.Mm.eg.db TxDb.Mmusculus.UCSC.mm9.knownGene

updated 9.4 years ago by Martin Morgan 25k • written 9.6 years ago by Elsa • 0

3

votes

2

replies

1.9k

views

software error txdb.mmusculus.ucsc.mm9.knowngene genomicfeatures

updated 10.1 years ago by Hervé Pagès 16k • written 10.1 years ago by nathan.harmston • 0

3 results • Page 1 of 1

Recent ...

Replies

Answer: SingleR with multiple single cell references by Aaron Lun ★ 28k

> Is it necessary to piece together the individual steps manually (e.g. aggregateReference, trainSingleR, classifySingleR, combineRecompute…

Answer: Automatically install dependencies by ATpoint ★ 4.7k

The BiocManager, which is sort of an extended wrapper around `install.packages`, installs all R dependencies. If you see errors then this i…

Answer: To count or not to count multi-overlapping reads? by Gordon Smyth 52k

> How does it handle reads that map to a gene that is located in a region that also has another gene but on the alternate strand? Overlapp…

Comment: Weird p-values using DESeq2? by ATpoint ★ 4.7k

This does not look like normalized counts but raw counts. Consider using `counts(dds, normalized = TRUE)` or the output of `normTransform()…

Answer: Weird p-values using DESeq2? by Wolfgang Huber ★ 13k

Dear Ingrid, thank you for asking. Can you provide the input count matrix (you can "pseudonymize" the biological conditions and the gene n…

Votes

Comment: Weird p-values using DESeq2?

Answer: Store Matrix in DataFrame Cell

Answer: enrichGOgradient color change

Awards • All

Popular Question to maltethodberg ▴ 180