Nucleic Acids Research, 2005, Vol. 33, Database issue D556-D561
© 2005, the authors
Nucleic Acids Research, Vol. 33, Database issue © Oxford University Press 2005; all rights reserved
GeneTideTerra Incognita Discovery Endeavor: a new transcriptome focused member of the GeneCards/GeneNote suite of databases
Department of Molecular Genetics and 1 Department of Biological Services (Bioinformatics Unit), The Weizmann Institute of Science, Rehovot 76100, Israel
* To whom correspondence should be addressed. Tel: +972 8 934 3455; Fax: +972 8 934 4113; Email: maxim.shklar{at}weizmann.ac.il
Correspondence may also be addressed to Marilyn Safran. Tel: +972 8 934 3455; Fax: +972 8 934 4113; Email: marilyn.safran{at}weizmann.ac.il
Received August 2, 2004; Revised and Accepted October 21, 2004
GeneCards® is an automatically mined database of human genes that strives to create, along with its auxiliary databasesGeneLoc, GeneNote and GeneAnnotthe most inclusive resource of gene-centered information of the human genome. GeneTide, the Gene Terra Incognita Discovery Endeavor (http://genecards.weizmann.ac.il/genetide/), the newest addition to this family, is a transcriptome-focused database which aims to enhance GeneCards with additional expressed sequence tag (EST)-based genes. This is achieved by comprehensively mapping >85% of the
5.6 million human ESTs currently available at dbEST to known genes by means of data mining and integration of genomic resources including UniGene, DoTS, AceView and in-house resources. GeneTide thus creates comprehensive links between ESTs and GeneCards genes. Furthermore, groups of unassociated transcripts serve as a basis for defining novel EST-based GeneCards Candidates (EGCs). These EGCs, nearly 25 000 of which were defined in version 0.3 of GeneTide, are further annotated with various parameters, including splicing evidence and expression data extracted from the GeneNote database, to determine their validity as possible de novo genes.
The online version of this article has been published under an open access model. Users are entitled to use, reproduce, disseminate, or display the open access version of this article for non-commercial purposes provided that: the original authorship is properly and fully attributed; the Journal and Oxford University Press are attributed as the original place of publication with the correct citation details given; if an article is subsequently reproduced or disseminated not in its entirety but only in part or as a derivative work this must be clearly indicated. For commercial re-use permissions, please contact journals.permissions{at}oupjournals.org.
![]()
CiteULike
Connotea
Del.icio.us What's this?
This article has been cited by other articles:
![]() |
D. Aguilar, L. Skrabanek, S. S. Gross, B. Oliva, and F. Campagne Beyond tissueInfo: functional prediction using tissue expression profile similarity searches Nucleic Acids Res., June 1, 2008; 36(11): 3728 - 3737. [Abstract] [Full Text] [PDF] |
||||
![]() |
L. Lipovich and M.-C. King Abundant novel transcriptional units and unconventional gene pairs on human chromosome 22 Genome Res., January 1, 2006; 16(1): 45 - 54. [Abstract] [Full Text] [PDF] |
||||

