Please use this identifier to cite or link to this item: http://nopr.niscair.res.in/handle/123456789/11294
Title: Bioinformatics: Advancing Biotechnology through Information Technology Part II: <i>In silico </i>Gene Prediction
Authors: Adak, Sudeshna
Keywords: Homology
<i>Ab initio</i>
Synteny
EST
Genome annotation
Issue Date: Apr-2003
Publisher: NISCAIR-CSIR, India
Abstract: The paper reviews computational tools and algorithms for <i>in silico </i>genome annotation and, in particular, the Bioinformatics resources available for <i>in silico </i>gene prediction. Gene prediction requires a combination of algorithms with different types of biological databases and the author intends to provide the biologist or biotechnology researcher an insight into the use of these methods. The explosion of information seen in molecular biology has created a veritable maze, through which careful navigation is required for research and innovation in biotechnology. Online databases have given scientists and researchers across the world access to unimaginable volumes of biologically relevant data. Bioinformatics, a truly multidisciplinary science, aims to bring the benefits of computer technologies to bear in understanding the biology of life itself. In this second paper of a three part series, the tremendous value of gene prediction algorithms is discussed, in the context of transforming raw biological sequence data into biologically useful knowledge. It is the first step in harnessing the biological data arising out of the genome projects into a new and improved understanding of biology of organisms.
Description: 159-174
URI: http://hdl.handle.net/123456789/11294
ISSN: 0975-0967 (Online); 0972-5849 (Print)
Appears in Collections:IJBT Vol.02(2) [April 2003]

Files in This Item:
File Description SizeFormat 
IJBT 2(2) 159-174.pdf3.16 MBAdobe PDFView/Open


Items in NOPR are protected by copyright, with all rights reserved, unless otherwise indicated.