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Vol. 12, Issue 3, 493-502, March 2002

RESOURCES
Cross-Referencing Eukaryotic Genomes: TIGR Orthologous Gene Alignments (TOGA)

Yuandan Lee, Razvan Sultana, Geo Pertea, Jennifer Cho, Svetlana Karamycheva, Jennifer Tsai, Babak Parvizi, Foo Cheung, Valentin Antonescu, Joseph White, Ingeborg Holt, Feng Liang, and John Quackenbush1

The Institute for Genomic Research, Rockville, Maryland 20850, USA

Comparative genomics promises to rapidly accelerate the identification and functional classification of biologically important human genes. We developed the TIGR Orthologous Gene Alignment (TOGA; < http://www.tigr.org/tdb/toga/toga.shtml> ) database to provide a cross-reference between fully and partially sequenced eukaryotic transcribed sequences. Starting with the assembled expressed sequence tag (EST) and gene sequences that comprise the 28 TIGR Gene Indices, we used high-stringency pair-wise sequence searches and a reflexive, transitive closure process to associate sequence-specific best hits, generating 32,652 tentative ortholog groups (TOGs). This has allowed us to identify putative orthologs and paralogs for known genes, as well as those that exist only as uncharacterized ESTs and to provide links to additional information including genome sequence and mapping data. TOGA provides an important new resource for the analysis of gene function in eukaryotes. In addition, an analysis of the most widely represented sequences can begin to provide insight into eukaryotic biological processes.


1 Corresponding author.


12:493-502 ©2002 by Cold Spring Harbor Laboratory Press  ISSN 1088-9051/02 $5.00

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