In tgirke/longevityTools: Analysis tools for longevity research

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Introduction

This vignette is part of the NIA funded Longevity Genomics project. For more information on this project please visit its website here. The GitHub repository of the corresponding R package is available here and the most recent version of this vignette can be found here.

This overview tutorial provides general information about the longevityTools package. This includes an introduction into the objects, data structures, methods and functions defined by longevityTools. The development of longevityTools is part of the Longevity Genomics project. The analysis workflows used by this project are documented in its companion vignettes listed below.

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Getting Started

Installation

The R software for running longevityTools can be downloaded from CRAN. The longevityTools package can be installed from the R console using the following biocLite install command.

source("http://bioconductor.org/biocLite.R") # Sources the biocLite.R installation script 
biocLite("tgirke/longevityTools", build_vignettes=FALSE) # Installs package from GitHub

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Loading package and documentation

library("longevityTools") # Loads the package
library(help="longevityTools") # Lists package info
vignette("longevityTools") # Opens vignette

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Overview of object clases, methods and functions

To be continued... [@Lamb2006-uv; @Peters2015-fc; @Sood2015-pb].

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Workflow vignettes

Currently, this package includes the following analysis workflow vignettes:

• longevityTools: overview vignette
• longevityTools_eQTL: eQTL, eSNP and GWAS analysis
• longevityTools_eDRUG: connecting drug- and age-related gene expression signatures
• longevityTools_Drugs: coming soon

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Funding

This project is funded by NIH grant U24AG051129 awarded by the National Intitute on Aging (NIA).

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Version information

sessionInfo()

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References

tgirke/longevityTools documentation built on May 31, 2019, 9:07 a.m.