RT Journal
A1 Lee, Yuandan
A1 Sultana, Razvan
A1 Pertea, Geo
A1 Cho, Jennifer
A1 Karamycheva, Svetlana
A1 Tsai, Jennifer
A1 Parvizi, Babak
A1 Cheung, Foo
A1 Antonescu, Valentin
A1 White, Joseph
A1 Holt, Ingeborg
A1 Liang, Feng
A1 Quackenbush, John
T1 Cross-Referencing Eukaryotic Genomes: TIGR Orthologous Gene Alignments (TOGA)
JF Genome Research 
JO Genome Research 
YR 2002 
FD March 01 
VO 12 
IS 3 
SP 493 
OP 502 
DO 10.1101/gr.212002 
UL http://genome.cshlp.org/content/12/3/493.abstract 
AB 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.