Identification and Characterization of Complex Biological Signals | Computational Approaches in the Identification and Characterization of Complex Biological Signals: Application to MGE

Kamal Rawal (u. a.)

ISBN 10: 3845474556 / ISBN 13: 9783845474557

Published by LAP LAMBERT Academic Publishing, 2011

About this Item

Identification and Characterization of Complex Biological Signals | Computational Approaches in the Identification and Characterization of Complex Biological Signals: Application to MGE | Kamal Rawal (u. a.) | Taschenbuch | 156 S. | Englisch | 2011 | LAP LAMBERT Academic Publishing | EAN 9783845474557 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Seller Inventory # 106807087

Bibliographic Details

• Title: Identification and Characterization of Complex Biological Signals | Computational Approaches in the Identification and Characterization of Complex Biological Signals: Application to MGE
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2011
• Language: English
• ISBN 10: 3845474556
• ISBN 13: 9783845474557
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 10D millimeters 220 millimeters width by 150 millimeters height by 10 millimeters depth
• Weight: 250 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

Our work is a contribution towards understanding the biology of mobile genetic elements (MGE). These constitute a significant proportion of most eukaryotic genomes. We demonstrate the presence of signals at the sites where mobile genetic elements preferentially insert in several genomes. These signals have been mapped into a general machine learning protocol. A web enabled computational protocol for the analysis of mobile genetic elements and their insertion sites, and a resource base containing several genomes,termed ELAN has been developed. This suite of tools for analysis and a relational database which contains over several hundred gigabytes of information are in the public domain. MGE insert strategically, selecting their sites carefully without disrupting exonic regions in the human genome but insert multiple copies in intronic as well as intergenic regions. More details can be found at http://nldsps.jnu.ac.in/elan.html

About the Author

Kamal Rawal (PhD in Bioinformatics from JNU, New Delhi) has published in reputed international journals. He strives to solve clinical & biological problems using systems biology approaches. Ram Ramaswamy (Vice Chancellor of Hyderabad University) has published extensively in the area of computational biology.