BioIDMapper: A cross-referencing and managing platform for biological IDs in R

Many new databases aiming at genes and proteins are developed as more and more species are sequenced. It becomes tedious job to navigate among different data resources, map various IDs, and collect and analyze separate biological knowledge. Current popular databases include Entrez Gene, UniProt, Gen...

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Bibliographic Details
Published in2010 3rd International Conference on Biomedical Engineering and Informatics Vol. 6; pp. 2449 - 2451
Main Authors Xiaoyong Sun, Lawrence, M, Zhaoquan Liu, Zhongxu Sun
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2010
Subjects
Bioinformatics
Genomics
Graphical user interfaces
Proteins
Proteomics
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Summary:Many new databases aiming at genes and proteins are developed as more and more species are sequenced. It becomes tedious job to navigate among different data resources, map various IDs, and collect and analyze separate biological knowledge. Current popular databases include Entrez Gene, UniProt, Gene Ontology, EMBL, OMIM, PubMed, KEGG, etc. Based on NCBI and UniProt, BioIDMapper can facilitate cross-referencing between different databases, integrate various ID systems and provide a full practical view from the gene, mRNA and functional level regarding one list of specific IDs. It also provides a graphical managing platform to subset biological IDs, connect to external resources, and summarize mapping results. The package and user documentation are free available at CRAN, the R project's repository of packages, at http://cran.r-project.org/web/packages/BioIDMapper or http://sourceforge.net/projects/bioidmapper/files.
ISBN:1424464951
9781424464951
ISSN:1948-2914
1948-2922
DOI:10.1109/BMEI.2010.5639785