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A way to find which genome builds a package supports
build
genome
2.6 years ago
Dmitry
• 0
0
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1
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994
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Error in the Multiple platform build/check report for BioC 3.15
build
BuildReport
updated 3.8 years ago by
Mike Smith
★ 6.6k • written 3.8 years ago by
Meriem
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1
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684
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Mac/Windows test build systems?
build
updated 4.0 years ago by
shepherl
4.2k • written 4.0 years ago by
hstern2
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News:
Release Deadline: Passing R CMD build and R CMD check
package
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build/check error
check
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News
7.6 years ago
shepherl
4.2k
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How to access error log from build report
build
testthat
cmd check
updated 10.0 years ago by
James W. MacDonald
68k • written 10.0 years ago by
Peter
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2
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3
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1.6k
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Building a reduced BSgenome.Gallus.UCSC.galGal 4 from Bioconductor
r
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genome
chicken-sheme
10.0 years ago
pertille
• 0
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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
Aaron already answered your question. If you have an HDF5 file, it will be read in as a `TENxMatrix` object, which isn't actually read in -…
Comment: Best practice for handling large data (matrix with >2^31-1 non-zero elements) in
by
dan.gatti
• 0
Very strange. We have the same package versions. I tried adding the mtx.class, type, and delayed arguments, but it's still making the coun…
Comment: DESeq2 for candidate gene analysis
by
piffelpaff
▴ 20
thank you so much for answering Dr. Love!
Answer: DESeq2 for candidate gene analysis
by
Michael Love
43k
Your plan 1 is reasonable. Run DESeq2 on the whole dataset to obtain size factors and moderated dispersion estimates and then extract the u…
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…
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A: Multi-level experiments in Limma
Answer: Should voomWithQualityWeights still be used when the sample-specific weights var
Answer: DESeq2 for candidate gene analysis
DESeq2 for candidate gene analysis
Answer: DESeq2 for candidate gene analysis
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