Bioinformatics Resources for Cancer Research with an Emphasis on Gene Function and Structure Prediction Tools

• Main Authors: Daisuke Kihara, Yifeng David Yang, Troy Hawkins
• Format: Article
• Language: English
• Published: SAGE Publishing 2006-01-01
• Series: Cancer Informatics
• Online Access: https://doi.org/10.1177/117693510600200020

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.