Bioconductor LocateVariants

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

2.5 years ago davidhillis • 0

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895

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genomiclocation canonicaltranscripts locateVariants

updated 4.0 years ago by James W. MacDonald 68k • written 4.0 years ago by Paola • 0

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1.9k

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variantannotation locatevariants metadata mcols

updated 7.8 years ago by Valerie Obenchain ★ 6.8k • written 7.8 years ago by enricoferrero ▴ 680

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variantannotation predict coding locateVariants granges

7.9 years ago tony j • 0

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locatevariants txdb.hsapiens.ucsc.hg19.knowngene variantannotation

8.1 years ago Aleksandra • 0

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

updated 8.3 years ago by Valerie Obenchain ★ 6.8k • written 8.3 years ago by Lna • 0

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3.6k

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locatevariants variantannotation genomicfeatures

updated 8.9 years ago by Michael Lawrence ★ 11k • written 8.9 years ago by Lna • 0

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variantannotation locatevariants

10.1 years ago Jakob Goldmann • 0

8 results • Page 1 of 1

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Answer: DiffBind - question on the use of filtered or unfiltered input data by vejogos850 • 0

DiffBind - question on the use of filtered or unfiltered input data is the best to deal with, and it provides us the solutions that we are …

Answer: Help with defining groups by Gordon Smyth 53k

Defining sample groups is separate to reading in the DIA-NN data, because the sample conditions and covariates are not necessarily coded in…

Comment: Sharing a collection of datasets in ExperimentHub by Peter Hickey ▴ 760

The [**scRNAseq**](https://bioconductor.org/packages/scRNAseq/) package ([source on GitHub](https://github.com/LTLA/scRNAseq)) might serve …

Comment: Using DESeq2 on single cell RNA Seq data of same cell type but different conditi by ReinholdGaylord99 • 0

Thank you so much! https://www.nature.com/articles/s41467-021-25960-2/ [geometry dash lite](https://geometrydashlite.online)

Comment: Guidance on limma for pseudobulk scRNA-seq with multi-factor design by Gordon Smyth 53k

I'm not sure that I understand. You have a dataset that, even after pseudo-bulking, still has 6000 samples? That is surprising. Retaining …

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Answer: ordinary t from limma [was: How would I normally compare swirl?]

Comment: readDNAStringSet with non DNA characters

Comment: Guidance on limma for pseudobulk scRNA-seq with multi-factor design

Answer: Guidance on limma for pseudobulk scRNA-seq with multi-factor design

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Scholar to Gordon Smyth 53k