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GenomicAlignments - extracting sequence signatures from bam file
bam file HIV cytosine
8.1 years ago • updated 8.0 years ago achaillon • 0
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Job: Bioinformatician - The Ragon Institute of MGH, MIT and Harvard
bioinformatician job bioinformatics immunology HIV Job
8.9 years ago • updated 8.6 years ago Ragon Institute of MGH, MIT and Harvard • 0
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ComBat
Transcription Genetics Pathways Network Survival Cancer Breast Colon Kidney Leukemia HIV
13.0 years ago SSc Array Core ▴ 10
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Post Doctoral Openings at University of Pittsburgh
Bayesian HIV Bayesian HIV
13.0 years ago Porterfield, Toni ▴ 10
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Correlation analysis
Microbiome HIV Microbiome HIV
updated 14.0 years ago by 21k • written 14.0 years ago by ▴ 20
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eBayes error
HIV HIV
updated 14.8 years ago by 21k • written 14.8 years ago by ▴ 570
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Rtreemix (NEW package)
Cancer HIV Rtreemix Cancer HIV Rtreemix
17.4 years ago Jasmina Bogojeska ▴ 30
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postdoc position available at FHCRC
Cancer HIV Cancer HIV
17.7 years ago Harlan Robins ▴ 10
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Postdoctoral position for 'Statistical Methods in Bioinformatics'
Genetics HIV Genetics HIV
18.9 years ago Adrian Alexa ▴ 400
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Using limma with contrast matrix ,replicate spots, donor effects
HIV limma HIV limma
updated 20.8 years ago by 53k • written 20.8 years ago by ▴ 120
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Re: NA's
HIV HIV
23.6 years ago rgentleman ★ 5.5k
11 results • Page 1 of 1
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Comment: Best practice for handling large data (matrix with >2^31-1 non-zero elements) in by James W. MacDonald 68k
Oh. ``` > z <- read10xCounts(c(tmpdir, tmpdir), mtx.class = "SVT_SparseMatrix", delayed = TRUE) > class(counts(z)) [1] "DelayedMatrix" att…
Comment: Best practice for handling large data (matrix with >2^31-1 non-zero elements) in by James W. MacDonald 68k
That's weird. Using the example data works for me. ``` > example(read10xCounts) rd10xC> # Mocking up some 10X genomics output. rd10xC> ex…
Comment: Join BOC Sciences at Drug Discovery Chemistry by teamardigen • 0
Sounds like an exciting event for anyone passionate about small molecule innovation. The focus on discovery and optimization really drives …
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…
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DESeq2 for candidate gene analysis
Join BOC Sciences at Drug Discovery Chemistry
Drug datasets for RNA-seq
Comment: Check removeBatchEffect effectiveness
Comment: Streamlining the computing time for MiloDE p-value correction in large dataset?
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