A Review of Software for Predicting Gene Function

Zuwairie, Ibrahim and Swee, Kuan Loha and Swee, Thing Low and Mohd Saberi, Mohamad and Safaai, Deris and Shahreen, Kasim and Choon, Yee Wen and Susilo, Bambang and Hendrawan, Yusuf and Wardani, Agustin Krisna (2015) A Review of Software for Predicting Gene Function. International Journal of Bio-Science and Bio-Technology (IJBSBT), 7 (2). pp. 57-70. ISSN 2233-7849. (Published)

PDF A Review of Software for Predicting Gene Function.pdf - Published Version Restricted to Repository staff only Download (339kB) | Request a copy

Abstract

A rich resource of information on functional genomics data can be applied to annotating the thousands of unknown gene functions that can be retrieved from most sequenced. High-throughput sequencing can lead to increased understanding of proteins and genes. We can infer networks of functional couplings from direct and indirect interactions. The development of gene function prediction is one of the major recent advances in the bioinformatics fields. These methods explore genomic context by major recent advances in the bioinformatics fields rather than by sequence alignment. This paper reviews software related to predicting gene function. Most of these programs are freely available online. The advantages and disadvantages of each program are stated clearly in order for the reader to understand them in a simple way. Web links to the software are provided as well.

Item Type:	Article
Uncontrolled Keywords:	Gene Function, Artificial Intelligence, Bioinformatics, Cancer, Functional Genomics
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division:	Faculty of Electrical & Electronic Engineering
Depositing User:	Mrs. Neng Sury Sulaiman
Date Deposited:	26 May 2015 02:41
Last Modified:	08 Feb 2018 03:28
URI:	http://umpir.ump.edu.my/id/eprint/9216
Download Statistic:	View Download Statistics

Actions (login required)

View Item