Bioconductor Htseqgenie

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HTSeqGenie BAM

updated 18 months ago by James W. MacDonald 68k • written 18 months ago by zh9118 • 0

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HTSeqGenie

2.1 years ago • updated 2.0 years ago zh9118 • 0

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HTSeqGenie

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HTSeqGenie

3.1 years ago Maryam.sed1400 • 0

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HTSeqGenie

3.2 years ago Maryam.sed1400 • 0

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HTSeqGenie

updated 9.2 years ago by Jens Reeder ▴ 40 • written 9.2 years ago by Thomas Sandmann ▴ 90

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Comment: Could we detect difference at pathway level but not significant different at gen by Chi • 0

The extrusion process affects kibble texture flavor and digestibility shaping both nutrition and taste. Balance is keyjust like in http://r…

Comment: Could we detect difference at pathway level but not significant different at gen by Chi • 0

GSVA works when gene level changes are small but pathways shift as a group. After your analysis take a quick break with https://cookieclick…

Comment: Best practice for handling large data (matrix with >2^31-1 non-zero elements) in by dan.gatti • 0

I am, but perhaps I'm not understanding how it should work. > sse = DropletUtils::read10xCounts(curr_files[1], mtx.class = 'SVT_Sparse…

Comment: Best practice for handling large data (matrix with >2^31-1 non-zero elements) in by James W. MacDonald 68k

Did you use the development version as Aaron suggested? There is an argument to read the market matrix file directly into an `SVT_SparseMat…

Comment: Best practice for handling large data (matrix with >2^31-1 non-zero elements) in by dan.gatti • 0

Was anyone else able to put the pieces together using the reply above? I read in one 10X sample using DropletUtils::read10xCounts() and thi…

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Drug datasets for RNA-seq

Comment: Check removeBatchEffect effectiveness

Comment: Streamlining the computing time for MiloDE p-value correction in large dataset?

Answer: DESeq2 design for haplotype MPRA

A: Different logFC (log2foldchange) values for genes from limma-voom and other too

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