Bioconductor Tabix

Showing : tabix • reset

votes

replies

3.3k

views

samtools tabix VariantAnnotation VCFArray

updated 4.6 years ago by Vincent J. Carey, Jr. 6.7k • written 4.6 years ago by naive • 0

vote

replies

4.7k

views

VariantAnnotation readvcf tabix

updated 4.6 years ago by Vincent J. Carey, Jr. 6.7k • written 4.6 years ago by naive • 0

votes

958

views

tabix

updated 7.5 years ago by Martin Morgan 25k • written 7.5 years ago by Tim Triche ★ 4.2k

votes

replies

3.7k

views

variantannotation tabix

updated 10.0 years ago by Michael Lawrence ★ 11k • written 10.0 years ago by TimothéeFlutre ▴ 80

votes

2.0k

views

readvcf vcf tabix

updated 10.3 years ago by Valerie Obenchain ★ 6.8k • written 10.3 years ago by Simon Coetzee ▴ 50

5 results • Page 1 of 1

Recent ...

Replies

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…

Votes

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?

Awards • All