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3.3k

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samtools tabix VariantAnnotation VCFArray

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

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4.7k

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VariantAnnotation readvcf tabix

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

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960

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tabix

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

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3.7k

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variantannotation tabix

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

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2.0k

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readvcf vcf tabix

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

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Comment: Interpretation of output of AffyRNAdeg and hist commands by debasainalsa • 0

When working with AffyRNAdeg output it helps to think of the table like browsing a HEYTEA Menu each row shows a feature of your slides and …

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…

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…

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Answer: DESeq2 for candidate gene analysis

DESeq2 for candidate gene analysis

Answer: DESeq2 for candidate gene analysis

DESeq2 for candidate gene analysis

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