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WormBase:: better software, richer content

delete2006-01-01
delete79
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OA
AI
E
Erich M. Schwarz *
A
Antoshechkin, Igor
B
Bastiani, Carol
B
Bieri, Tamberlyn
B
Blasiar, Darin
C
Canaran, Payan
C
Chan, Juancarlos
C
Chen, Nansheng
C
Chen, Wen J.
P
Paul A. Davis
F
Fiedler, Tristan J.
G
Girard, Lisa
H
Harris, Todd W.
K
Kenny, Eimear E.
K
Kishore, Ranjana
L
Lawson, Dan
L
Lee, Raymond
M
Mueller, Hans-Michael
N
Nakamura, Cecilia
O
Ozersky, Phil
P
Petcherski, Andrei
R
Rogers, Anthony
S
Spooner, Will
M
Mary Ann Tuli
V
Van Auken, Kimberly
W
Wang, Daniel
R
Richard Durbin
S
Spieth, John
S
Stein, Lincoln D.
S
Sternberg, Paul W.
DOI:10.1093/nar/gkj061delete
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Abstract

Abstract

En 中文
WormBase (http://wormbase.org), the public database for genomics and biology of Caenorhabditis elegans, has been restructured for stronger performance and expanded for richer biological content. Performance was improved by accelerating the loading of central data pages such as the omnibus Gene page, by rationalizing internal data structures and software for greater portability, and by making the Genome Browser highly customizable in how it views and exports genomic subsequences. Arbitrarily complex, user-specified queries arenowpossible through Textpresso (for all available literature) and through WormMart (for most genomic data). Biological content was enriched by reconciling all available cDNA and expressed sequence tag data with gene predictions, clarifying single nucleotide polymorphism and RNAi sites, and summarizing known functions for most genes studied in this organism.
Keywords:
GENOME ANNOTATION
CAENORHABDITIS
MODEL
SEQUENCE
PREDICTION
PHYLOGENY
ORFEOME
ACCESS
SYSTEM
ACEDB
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Journal

Nucleic Acids Research cover
Nucleic Acids Research
IF:
13.1
Papers:
3.6W
Citations:
29.0W

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