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Bioconductor - appreci8R (development version)

appreci8R

This is the development version of appreci8R; for the stable release version, see appreci8R.

appreci8R: an R/Bioconductor package for filtering SNVs and short indels with high sensitivity and high PPV

Bioconductor version: Development (3.22)

The appreci8R is an R version of our appreci8-algorithm - A Pipeline for PREcise variant Calling Integrating 8 tools. Variant calling results of our standard appreci8-tools (GATK, Platypus, VarScan, FreeBayes, LoFreq, SNVer, samtools and VarDict), as well as up to 5 additional tools is combined, evaluated and filtered.

Author: Sarah Sandmann

Maintainer: Sarah Sandmann <sarah.sandmann at uni-muenster.de>

Citation (from within R, enter citation("appreci8R")): Installation

To install this package, start R (version "4.5") and enter:


if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

BiocManager::install("appreci8R")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("appreci8R")
Details biocViews GeneticVariability, SNP, Sequencing, Software, VariantAnnotation, VariantDetection Version 1.27.0 In Bioconductor since BioC 3.8 (R-3.5) (6.5 years) License LGPL-3 Depends Imports shiny, shinyjs, DT, VariantAnnotation, BSgenome, BSgenome.Hsapiens.UCSC.hg19, TxDb.Hsapiens.UCSC.hg19.knownGene, Homo.sapiens, SNPlocs.Hsapiens.dbSNP144.GRCh37, XtraSNPlocs.Hsapiens.dbSNP144.GRCh37, Biostrings, MafDb.1Kgenomes.phase3.hs37d5, MafDb.ExAC.r1.0.hs37d5, MafDb.gnomADex.r2.1.hs37d5, COSMIC.67, rentrez, PolyPhen.Hsapiens.dbSNP131, SIFT.Hsapiens.dbSNP137, seqinr, openxlsx, Rsamtools, stringr, stats, GenomicRanges, S4Vectors, GenomicFeatures, IRanges, GenomicScores, SummarizedExperiment System Requirements URL See More Package Archives

Follow Installation instructions to use this package in your R session.

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