Format

Send to

Choose Destination
See comment in PubMed Commons below
Cancer Inform. 2007 Feb 7;2:25-35.

Bioinformatics resources for cancer research with an emphasis on gene function and structure prediction tools.

Author information

1
Department of Biological Sciences, Department of Computer Science, Markey Center for StructuralBiology, The Bindley Bioscience Center, College of Science, Purdue University, West Lafayette, IN,47907, USA. dkihara@purdue.edu

Abstract

The immensely popular fields of cancer research and bioinformatics overlap in many different areas, e.g. large data repositories that allow for users to analyze data from many experiments (data handling, databases), pattern mining, microarray data analysis, and interpretation of proteomics data. There are many newly available resources in these areas that may be unfamiliar to most cancer researchers wanting to incorporate bioinformatics tools and analyses into their work, and also to bioinformaticians looking for real data to develop and test algorithms. This review reveals the interdependence of cancer research and bioinformatics, and highlight the most appropriate and useful resources available to cancer researchers. These include not only public databases, but general and specific bioinformatics tools which can be useful to the cancer researcher. The primary foci are function and structure prediction tools of protein genes. The result is a useful reference to cancer researchers and bioinformaticians studying cancer alike.

KEYWORDS:

bioinformatics tools; gene function prediction; microarray data management software; microarray data repository; protein structure prediction; protein-protein interaction database

PMID:
19458756
PMCID:
PMC2675499
PubMed Commons home

PubMed Commons

0 comments
How to join PubMed Commons

    Supplemental Content

    Full text links

    Icon for PubMed Central
    Loading ...
    Support Center