TriTrypDB: a functional genomic resource for the Trypanosomatidae.
Aslett, Martin 1; Aurrecoechea, Cristina 2; Berriman, Matthew 1; Brestelli, John 3; Brunk, Brian P. 3; Carrington, Mark 4; Depledge, Daniel P. 1; Fischer, Steve 3; Gajria, Bindu 3; Gao, Xin 3; Gardner, Malcolm J. 5,6; Gingle, Alan 7; Grant, Greg 3; Harb, Omar S. 3,*; Heiges, Mark 2; Hertz-Fowler, Christiane 1,*; Houston, Robin 1; Innamorato, Frank 3; Iodice, John 3; Kissinger, Jessica C. 2,8; Kraemer, Eileen 9; Li, Wei 3; Logan, Flora J. 1; Miller, John A. 9; Mitra, Siddhartha 5; Myler, Peter J. 5,6,10; Nayak, Vishal 3; Pennington, Cary 2; Phan, Isabelle 5; Pinney, Deborah F. 3; Ramasamy, Gowthaman 5; Rogers, Matthew B. 1; Roos, David S. 11; Ross, Chris 2; Sivam, Dhileep 5; Smith, Deborah F. 12; Srinivasamoorthy, Ganesh 2; Stoeckert, Christian J. Jr 3; Subramanian, Sandhya 5; Thibodeau, Ryan 2; Tivey, Adrian 1; Treatman, Charles 3; Velarde, Giles 1; Wang, Haiming 2
[Article] Nucleic Acids Research. 38(20100100) Supplement 1:D457, January 2010.

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TriTrypDB ( http://tritrypdb.org) is an integrated database providing access to genome-scale datasets for kinetoplastid parasites, and supporting a variety of complex queries driven by research and development needs. TriTrypDB is a collaborative project, utilizing the GUS/WDK computational infrastructure developed by the Eukaryotic Pathogen Bioinformatics Resource Center (EuPathDB.org) to integrate genome annotation and analyses from GeneDB and elsewhere with a wide variety of functional genomics datasets made available by members of the global research community, often pre-publication. Currently, TriTrypDB integrates datasets from Leishmania braziliensis, L. infantum, L. major, L. tarentolae, Trypanosoma brucei and T. cruzi. Users may examine individual genes or chromosomal spans in their genomic context, including syntenic alignments with other kinetoplastid organisms. Data within TriTrypDB can be interrogated utilizing a sophisticated search strategy system that enables a user to construct complex queries combining multiple data types. All search strategies are stored, allowing future access and integrated searches. 'User Comments' may be added to any gene page, enhancing available annotation; such comments become immediately searchable via the text search, and are forwarded to curators for incorporation into the reference annotation when appropriate.

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