Showing : transcriptome • reset
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Convert transcriptomic bam to genomic bam?
ensembldb transcriptome genome coordinateconversion
updated 12 months ago by 43k • written 13 months ago by ▴ 10
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774
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Transcriptome assembly: single individual or pooled samples
transcriptome splicing assembly
updated 2.4 years ago by 68k • written 2.4 years ago by ▴ 20
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892
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low mapping between annotated genome and transcriptome
transcriptome Annotation mapping
3.0 years ago Ava • 0
2
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1
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How to know which soft threshold to use for blockwise modules in WGCNA?
wgcna coexpression transcriptome
updated 7.2 years ago by ★ 3.0k • written 7.2 years ago by ▴ 40
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What is the recommended method for running WGCNA on large metatranscriptomic dataset?
wgcna transcriptome big data metagenomics gene expression
7.2 years ago jol.espinoz ▴ 40
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Read Illumina BeadArray control table into Limma
limma microarray transcriptome
updated 8.6 years ago by 52k • written 8.6 years ago by • 0
6 results • Page 1 of 1
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Comment: Differing results with DESeq2 by JKim • 0
My two cents. I think it would be more straightforward if you use cellmeans model. Have a look at [A guide to creating design matrices for …
Answer: CluserProfiler message "No gene can be mapped" by James W. MacDonald 68k
Your gene IDs are things like this: `Mpyr-NLJ1B.v3.hap1.scaffold1.g290550`, and the genes in your term2gene table are things like this: `Mp…
Answer: RNA-seq input to GRaNIE by James W. MacDonald 68k
This is [covered in the vignette.][1] [1]: https://bioconductor.org/packages/release/bioc/vignettes/GRaNIE/inst/doc/GRaNIE_packageDe…
Answer: Help using reduceSimMatrix with a custom annotation by sergisayolspuig ▴ 80
Hi there, `reduceSimMatrix()` expects a "GOALL" keytype in the OrgDb object when called with `children=TRUE` (which is the default for thi…
Answer: Analyzing TnSeq data with DESeq2 by cold.wolverine.arku • 0
That's a great use case of DESeq2! Even though it's not specifically tailored for TnSeq data, your approach to normalize and run explorator…
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A: Unbalanced experiment with multiple samples from each patient.
A: Understanding contrasts limma
Answer: ROAST for small sets
Answer: ROAST for small sets
A: conceptual question about FDR, FDR adjusted p-value and q-value
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