GiardiaDB and TrichDB: integrated genomic resources for the eukaryotic protist pathogens Giardia lamblia and Trichomonas vaginalis

被引：185

作者：

Aurrecoechea, Cristina ^{[2
]}

Brestelli, John ^{[1
]}

Brunk, Brian P. ^{[1
]}

Carlton, Jane M. ^{[3
]}

Dommer, Jennifer ^{[1
]}

Fischer, Steve ^{[1
]}

Gajria, Bindu ^{[1
]}

Gao, Xin ^{[1
]}

Gingle, Alan ^{[4
]}

Grant, Greg ^{[5
]}

Harb, Omar S. ^{[1
]}

Heiges, Mark ^{[2
]}

Innamorato, Frank ^{[1
]}

Iodice, John ^{[1
]}

Kissinger, Jessica C. ^{[2
,6
]}

Kraemer, Eileen ^{[7
]}

Li, Wei ^{[1
]}

Miller, John A.

Morrison, Hilary G. ^{[8
]}

Nayak, Vishal ^{[1
]}

Pennington, Cary ^{[2
]}

Pinney, Deborah F. ^{[1
]}

Roos, David S. ^{[9
]}

Ross, Chris ^{[2
]}

Stoeckert, Christian J., Jr. ^{[1
]}

Sullivan, Steven ^{[3
]}

Treatman, Charles ^{[1
]}

Wang, Haiming ^{[2
]}

机构：

[1] Univ Penn, Penn Ctr Bioinformat, Philadelphia, PA 19104 USA

[2] Univ Georgia, Ctr Trop & Emerging Global Dis, Athens, GA 30602 USA

[3] NYU, Dept Med Parasitol, Langone Med Ctr, New York, NY 10010 USA

[4] Univ Georgia, Ctr Appl Genet Technol, Athens, GA 30602 USA

[5] Univ Penn, Sch Med, Philadelphia, PA 19104 USA

[6] Univ Georgia, Dept Genet, Athens, GA 30602 USA

[7] Univ Georgia, Dept Comp Sci, Athens, GA 30602 USA

[8] Marine Biol Lab, Josephine Bay Paul Ctr Comparat Mol Biol & Evolut, Woods Hole, MA 02543 USA

[9] Univ Penn, Dept Biol, Philadelphia, PA 19104 USA

来源：

NUCLEIC ACIDS RESEARCH | 2009年 / 37卷

基金：

美国国家卫生研究院;

关键词：

DATABASE;

D O I：

10.1093/nar/gkn631

中图分类号：

Q5 [生物化学]; Q7 [分子生物学];

学科分类号：

071010 ; 081704 ;

摘要：

GiardiaDB (http://GiardiaDB.org) and TrichDB (http://TrichDB.org) house the genome databases for Giardia lamblia and Trichomonas vaginalis, respectively, and represent the latest additions to the EuPathDB (http://EuPathDB.org) family of functional genomic databases. GiardiaDB and TrichDB employ the same framework as other EuPathDB sites (CryptoDB, PlasmoDB and ToxoDB), supporting fully integrated and searchable databases. Genomic-scale data available via these resources may be queried based on BLAST searches, annotation keywords and gene ID searches, GO terms, sequence motifs and other protein characteristics. Functional queries may also be formulated, based on transcript and protein expression data from a variety of platforms. Phylogenetic relationships may also be interrogated. The ability to combine the results from independent queries, and to store queries and query results for future use facilitates complex, genome-wide mining of functional genomic data.

引用

页码：D526 / D530

页数：5

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