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GARBAN II: An integrative framework for extracting biological information from proteomic and genomic data
Author(s) -
Segura Victoriano,
Podhorski Adam,
Guruceaga Elizabeth,
Sevilla José L.,
Corrales Fernando J.,
Rubio Angel
Publication year - 2006
Publication title -
proteomics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.26
H-Index - 167
eISSN - 1615-9861
pISSN - 1615-9853
DOI - 10.1002/pmic.200500313
Subject(s) - computer science , representation (politics) , dna microarray , computational biology , feature (linguistics) , genomic information , data mining , data integration , proteomics , data science , genome , gene , biology , gene expression , genetics , philosophy , politics , political science , law , linguistics
Genomic and proteomic analyses generate a massive amount of data that requires specific bioinformatic tools for its management and interpretation. GARBAN II, developed from the previous GARBAN platform, provides an integrated framework to simultaneously analyse and compare multiple datasets from DNA microarrays and proteomic studies. The general architecture, gene classification and comparison, and graphical representation have been redesigned to ensure a user‐friendly feature and to improve the capabilities and efficiency of this system. Additionally, GARBAN II has been extended with new applications to display networks of coexpressed genes and to integrate access to BioRag and MotifScanner so as to facilitate the holistic analysis of users' data.