Database resources for proteomics-based analysis of cancer.

Guang Lan Zhang, David S. DeLuca, Vladimir Brusic

Research output: Contribution to journalArticle

6 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)349-364
Number of pages16
JournalMethods in molecular biology (Clifton, N.J.)
Volume723
DOIs
Publication statusPublished - 2011
Externally publishedYes

Fingerprint

Proteomics
Databases
Protein Databases
Neoplasms
Information Storage and Retrieval
Neoplasm Antigens
Computational Biology
Single Nucleotide Polymorphism
Proteins
Research Personnel
Gene Expression
Mutation
Research
Genes

ASJC Scopus subject areas

  • Medicine(all)

Cite this

Database resources for proteomics-based analysis of cancer. / Zhang, Guang Lan; DeLuca, David S.; Brusic, Vladimir.

In: Methods in molecular biology (Clifton, N.J.), Vol. 723, 2011, p. 349-364.

Research output: Contribution to journalArticle

Zhang, Guang Lan ; DeLuca, David S. ; Brusic, Vladimir. / Database resources for proteomics-based analysis of cancer. In: Methods in molecular biology (Clifton, N.J.). 2011 ; Vol. 723. pp. 349-364.
@article{88d70deb94d94cd9bce40fa5865ad91c,
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.",
author = "Zhang, {Guang Lan} and DeLuca, {David S.} and Vladimir Brusic",
year = "2011",
doi = "10.1007/978-1-61779-043-0_22",
language = "English",
volume = "723",
pages = "349--364",
journal = "Methods in molecular biology (Clifton, N.J.)",
issn = "1064-3745",
publisher = "Humana Press",

}

TY - JOUR

T1 - Database resources for proteomics-based analysis of cancer.

AU - Zhang, Guang Lan

AU - DeLuca, David S.

AU - Brusic, Vladimir

PY - 2011

Y1 - 2011

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=79958290934&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=79958290934&partnerID=8YFLogxK

U2 - 10.1007/978-1-61779-043-0_22

DO - 10.1007/978-1-61779-043-0_22

M3 - Article

VL - 723

SP - 349

EP - 364

JO - Methods in molecular biology (Clifton, N.J.)

JF - Methods in molecular biology (Clifton, N.J.)

SN - 1064-3745

ER -