GeneticsBase

Classes and functions for handling genetic data

Bioconductor version: 2.6

The R Genetics Project is a collaborative effort to develop a complete set of tools for storing, accessing, manipulating, and analyzing genetics data, from small candidate-gene studies consisting of a few genetic markers to large whole-genome studies containing hundreds of thousands of markers. This package (GeneticsBase) provides a foundation of efficient data structures and easy-to-use manipulation functions.

Author: Gregory Warnes <warnes at bst.rochester.edu> Ross Lazarus <ross.lazarus at channing.harvard.edu> Scott D Chasalow <scott.chasalow at bms.com> Giovanni Montana <giovanni.montana at bms.com> Michael O'Connell <moconnell at insightful.com> Junsheng Cheng <jcheng8 at users.sourceforge.net> Nitin Jain <nitin.jain at pfizer.com>

Maintainer: The R Genetics Project <r-genetics-talk at lists.sourceforge.net>

To install this package, start R and enter:

    source("http://bioconductor.org/biocLite.R")
    biocLite("GeneticsBase")

To cite this package in a publication, start R and enter:

    citation("GeneticsBase")

Documentation

PDF CAMP_alleleSummary_html.pdf
PDF CAMP_genotypeSummary_html.pdf
PDF CAMP_LD_html.pdf
PDF R Script HOWTO: Load Genotype Data
PDF R Script Summary Tables
PDF R Script Summary Tables
PDF   Reference Manual

Details

biocViews Genetics
Depends R (>= 2.3.1), methods, combinat
Imports gdata (>= 2.3.0), gplots (>= 2.3.1), gtools (>= 2.2.3), graphics, grDevices, methods, stats, utils, xtable
Suggests GeneticsDesign, fbat
System Requirements
License LGPL
URL
Depends On Me fbat
Imports Me fbat
Suggests Me
Version 1.14.0
Since Bioconductor 2.0 (R-2.5)

Package Downloads

Package Source GeneticsBase_1.14.0.tar.gz
Windows Binary GeneticsBase_1.14.0.zip (32- & 64-bit)
MacOS 10.5 (Leopard) binary GeneticsBase_1.14.0.tgz
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