Physiol. Genomics AJP: Advances in Physiology Education
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
QUICK SEARCH:   [advanced]


     

Physiol. Genomics 11: 165-177, 2002; doi:10.1152/physiolgenomics.00112.2002
1094-8341/02 $5.00
This Article
Right arrow Full Text
Right arrow Full Text (PDF)
Right arrow Data Supplement
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in ISI Web of Science
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via ISI Web of Science (5)
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Turchin, A.
Right arrow Articles by Kohane, I. S.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Turchin, A.
Right arrow Articles by Kohane, I. S.
Received 23 August 2002; accepted in final form 30 September 2002.
Physiological Genomics 11:165-177 (2002)
1094-8341/02 $5.00 © 2002 American Physiological Society

Review

Gene homology resources on the World Wide Web

Alexander Turchin1 and Isaac S. Kohane2

1 Department of Medicine, New England Medical Center, Boston 02111
2 Children’s Hospital Medical Informatics Program, Division of Endocrinology, Children’s Hospital, Boston, Massachusetts 02215

As the amount of information available to biologists increases exponentially, data analysis becomes progressively more challenging. Sequence homology has been a traditional tool in the researchers’ armamentarium; it is a very versatile instrument and can be employed to assist in numerous tasks, from establishing the function of a gene to determination of the evolutionary development of an organism. Consequently, numerous specialized tools have been established in the public domain (most commonly, the World Wide Web) to help investigators use sequence homology in their research. These homology databases differ both in techniques they use to compare sequences as well as in the size of the unit of analysis, which can be the whole gene, a domain, or a motif. In this paper, we aim to present a systematic review of the inner details of the most commonly used databases as well as to offer guidelines for their use.

ortholog; database; internet




This article has been cited by other articles:


Home page
 Physiol. GenomicsHome page
V. J. Dzau and S. B. Glueck
The future of Physiological Genomics
Physiol Genomics, August 15, 2003; 14(3): 167 - 168.
[Full Text] [PDF]


HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
Visit Other APS Journals Online