Showing : profileplyr • reset
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Diffbind Analysis gives error during profile plotting stage. Error in value[[3L]](cond) : profileplyr error: Error: BiocParallel errors 1 remote…
chipseq profileplyr DiffBind
7 months ago Muhammad • 0
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3
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Create merged ChIP heatmap across conditions
DiffBind profileplyr
updated 17 months ago by ★ 5.2k • written 17 months ago by • 0
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An error using Diffbind plotprofile
ChIPSeq profileplyr DiffBind
updated 4.3 years ago by ▴ 20 • written 4.4 years ago by • 0
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News: New in DiffBind 3.2: dba.plotProfile() - Peak profiles and profile heatmaps
profileplyr ATACSeq DiffBind ComplexHeatmap ChIPSeq
updated 3.0 years ago by • 0 • written 4.6 years ago by ★ 5.2k
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profileplyr: how to access and replace data from a profileplyr object
profileplyr
4.9 years ago alexandre.blais ▴ 50
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Comment: nice 3D displays for PCA analysis by adam80haynes • 0
That's a fascinating application of 3D printing in a scientific context. Using this technology to create custom lab equipment, models of mo…
Comment: Bioinformatician at the Lausanne University Hospital by TikTsokaasocissalpc • 0
The Random Word Generator in Italian is a useful tool for generating ideas and exploring new approaches, much like the innovative research …
Comment: DECIPHER DesignProbes unable to design FISH-probes by TikTsokaasocissalpc • 0
If you want to share your research progress and microbiome discoveries with colleagues or friends, [snaptroid android][1] download free mak…
Answer: Limma-voom sample weights and impact on DEG numbers by Gordon Smyth 53k
I recommend that you always use voomLmFit() instead of the earlier voom() or voomWithQualityWeights() functions. Personally, I would use sa…
Answer: wgcna module preseravtion taking too long? by ATpoint ★ 5.0k
WGCNA is not a Bioconductor package, you won't get an answer here. Consider biostars.org or the r/bioinformatics reddit. Note that 10 sampl…
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Limma-voom sample weights and impact on DEG numbers
C: DESeq2 Following RSEM
Upcoming Ensembl API and data access changes - new blog post available
Comment: Highly similar RNA-seq samples in PCA - pooling or technical duplication?
Answer: Large logFC but somewhat high FDR
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