@inbook{7ae6e4808a0648c3b68901b74ebcdd9c,
title = "Database Resources for Proteomics-Based Analysis of Cancer",
abstract = "Biological/bioinformatics databases are essential for medical and biological studies. They integrate and organize biologically related information in a structured format and provide researchers with easy access to a variety of relevant data. This review presents an overview of publicly available databases relevant to proteomics studies in cancer research. They include gene/protein expression databases, gene mutation and single nucleotide polymorphisms databases, tumor antigen databases, protein–protein interaction, and biological pathway databases. Automated information retrieval from these databases enables efficient large-scale proteomics data analysis.",
keywords = "Biological pathway, Database, Mutation, Protein expression, Protein microarray, Protein–protein interaction, Proteomics, Single nucleotide polymorphisms, Tumor antigen",
author = "Zhang, {Guang Lan} and DeLuca, {David S.} and Vladimir Brusic",
note = "Publisher Copyright: {\textcopyright} 2011, Springer Science+Business Media, LLC.",
year = "2011",
doi = "10.1007/978-1-61779-043-0_22",
language = "English",
series = "Methods in Molecular Biology",
publisher = "Humana Press Inc.",
pages = "349--364",
booktitle = "Methods in Molecular Biology",
}
