Learn R Programming

GoMiner (version 1.2)

Automate the Mapping Between a List of Genes and Gene Ontology Categories

Description

In gene-expression microarray studies, for example, one generally obtains a list of dozens or hundreds of genes that differ in expression between samples and then asks 'What does all of this mean biologically?' Alternatively, gene lists can be derived conceptually in addition to experimentally. For instance, one might want to analyze a group of genes known as housekeeping genes. The work of the Gene Ontology (GO) Consortium provides a way to address that question. GO organizes genes into hierarchical categories based on biological process, molecular function and subcellular localization. The role of 'GoMiner' is to automate the mapping between a list of genes and GO, and to provide a statistical summary of the results as well as a visualization.

Copy Link

Version

Install

install.packages('GoMiner')

Monthly Downloads

361

Version

1.2

License

GPL (>= 2)

Maintainer

Barry Zeeberg

Last Published

May 18th, 2025

Functions in GoMiner (1.2)

x_tableSample3

GoMiner data set
human

human
x_sampleList1

GoMiner data set
x_tablePop3

GoMiner data set
RCPD

RCPD
checkGeneListVsDB

checkGeneListVsDB
validHGNCSymbols

validHGNCSymbols
x_fdr

GoMiner data set
x_hyper1

GoMiner data set
x_m

GoMiner data set
GOheatmap

GOheatmap
GOhypergeometric3

GOhypergeometric
FDR

FDR
GoMiner

GoMiner
GOenrich3

GOenrich3
GOtable3

GOtable3
GOGOA3small

GoMiner data set
randSubsetGeneList

randSubsetGeneList
x_thresh

GoMiner data set
preprocessDB

preprocessDB
GOthresh

GOthresh
HCCS66

GoMiner data set
Housekeeping_Genes

GoMiner data set
hitterBeforeAfterDriver

hitterBeforeAfterDriver
cluster52

GoMiner data set
trimGOGOA3

trimGOGOA3
x_tablePop31

GoMiner data set
runGoMinerExamples

runGoMinerExamples
hitters2

hitters2