facilitate mapping between different databases,
integrate various ID systems and provide a full view from
gene level, mRNA level and functional level regarding one specific ID.
The mapping system is based on NCBI and UniProt web service.
updateTerm.R global.R bio.convert.R bio.link.R bio.sum.R bio.type.R bio.select.R dbjumper.R geneMap.R parse1.R parse2.R processMessage.R proteinMap.R validate.R

facilitate mapping between different databases, integrate
various ID systems and provide a full view from gene level,
mRNA level and functional level regarding one specific ID. The
mapping system is based on NCBI and UniProt web service.
updateTerm.R global.R bio.convert.R bio.link.R bio.sum.R
bio.type.R bio.select.R dbjumper.R geneMap.R parse1.R parse2.R
processMessage.R proteinMap.R validate.R

R (>= 2.7.0), RCurl, XML, RGtk2, gWidgetsRGtk2, lattice
RCurl, XML, RGtk2, gWidgetsRGtk2, lattice
updateTerm.R global.R bio.convert.R bio.link.R bio.sum.R
bio.type.R bio.select.R dbjumper.R geneMap.R parse1.R parse2.R
processMessage.R proteinMap.R validate.R gui.function.R
gui.initial.R bio.gui.R

R (>= 2.7.0), RCurl, XML, lattice, gWidgetsRGtk2 (>= 0.0-36)

Facilitate mapping between different databases, integrate
various ID systems and provide a full view from gene level,
mRNA level and functional level regarding one specific ID. The
mapping system is based on NCBI and UniProt web service.

person("Luiz", "Antonio de Jesus Rocha", role = c("aut", "cre","cph"),
email = "luiz.rocha@unifesp.br")
Analyze and plot the abundance of different RNA biotypes present in a count matrix, this evaluation can be useful if you want to test different strategies of normalization or analyze a particular biotype in a differential gene expression analysis.
Luiz Antonio de Jesus Rocha [aut, cre, cph]
Luiz Antonio de Jesus Rocha <luiz.rocha@unifesp.br>

person("Jianfeng", "Li", email = "lee_jianfeng@sjtu.edu.cn", role = c("aut", "cre"))
Install and download massive bioinformatics analysis software and database, such as NGS analysis tools with its required database or/and reference genome, is still a complicated task. BioInstaller can be used to install that tools and database in R conveniently.