Bioconductor Locatevariants

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MetID TxDB.Hsapiens.UCSC.hg38.knownGene locateVariants GenomicFeatures VariantAnnotation

22 months ago davidhillis • 0

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788

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genomiclocation canonicaltranscripts locateVariants

updated 3.3 years ago by James W. MacDonald 67k • written 3.3 years ago by Paola • 0

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1.7k

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variantannotation locatevariants metadata mcols

updated 7.1 years ago by Valerie Obenchain ★ 6.8k • written 7.1 years ago by enricoferrero ▴ 660

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1.3k

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variantannotation predict coding locateVariants granges

7.2 years ago tony j • 0

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locatevariants txdb.hsapiens.ucsc.hg19.knowngene variantannotation

7.4 years ago Aleksandra • 0

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1.6k

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txdb.hsapiens.ucsc.hg19.knowngene ucsc annotation locatevariants variantannotation

updated 7.5 years ago by Valerie Obenchain ★ 6.8k • written 7.5 years ago by Lna • 0

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2.9k

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locatevariants variantannotation genomicfeatures

updated 8.2 years ago by Michael Lawrence ★ 11k • written 8.2 years ago by Lna • 0

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2.4k

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variantannotation locatevariants

9.4 years ago Jakob Goldmann • 0

8 results • Page 1 of 1

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Comment: Differential variability modelling with vst() expression by convincing.shark.jqvy • 0

Your approach to differential variability modeling using vst() looks promising! It mirrors the challenge of mastering levels in [Geometry D…

Answer: DESeq2 Heatmap by James W. MacDonald 67k

Two things. First, `scale` is already vectorized, so you don't have to use `apply`. You can instead just do `t(scale(t(mat)))` . Second, th…

Answer: Improve performance of qusage aggregateGeneSet by James W. MacDonald 67k

This support site is meant mostly to help people with questions about using Bioconductor packages rather than posting code improvements. I …

Answer: promoters_txdb <- promoters(txdb, upstream = 2000) is not 2000 by James W. MacDonald 67k

If you use `promoters` and do not provide an argument for something that has a default, you will get the default argument. Your last call t…

Comment: org.Hs.eg.db issue by k.panov • 0

installed R on another PC, works perfectly. ergo, problem outside of R probably..... :-(

Votes

Comment: DESeq2 for single cell pseudobulk processing

C: Limma: how to get same output as topTable but for all the genes ?

A: Processing agilent data by limma

A: Linear regression in DESeq2

Answer: Is there any chance to solve "the model matrix is not full rank" in DESeq2?

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