The TIGR Gene Indices: clustering and assembling EST and known genes and integration with eukaryotic genomes
Open Access
- 17 December 2004
- journal article
- Published by Oxford University Press (OUP) in Nucleic Acids Research
- Vol. 33 (Database ) , D71-D74
- https://doi.org/10.1093/nar/gki064
Abstract
Although the list of completed genome sequencing projects has expanded rapidly, sequencing and analysis of expressed sequence tags (ESTs) remain a primary tool for discovery of novel genes in many eukaryotes and a key element in genome annotation. The TIGR Gene Indices (http://www.tigr.org/tdb/tgi) are a collection of 77 species-specific databases that use a highly refined protocol to analyze gene and EST sequences in an attempt to identify and characterize expressed transcripts and to present them on the Web in a user-friendly, consistent fashion. A Gene Index database is constructed for each selected organism by first clustering, then assembling EST and annotated cDNA and gene sequences from GenBank. This process produces a set of unique, high-fidelity virtual transcripts, or tentative consensus (TC) sequences. The TC sequences can be used to provide putative genes with functional annotation, to link the transcripts to genetic and physical maps, to provide links to orthologous and paralogous genes, and as a resource for comparative and functional genomic analysis.Keywords
This publication has 11 references indexed in Scilit:
- Selection of oligonucleotide probes for protein coding sequencesBioinformatics, 2003
- TIGR Gene Indices clustering tools (TGICL): a software system for fast clustering of large EST datasetsBioinformatics, 2003
- Cross-Referencing Eukaryotic Genomes: TIGR Orthologous Gene Alignments (TOGA)Genome Research, 2002
- RESOURCERER: a database for annotating and linking microarray resources within and across speciesGenome Biology, 2001
- The Distributed Annotation SystemBMC Bioinformatics, 2001
- The TIGR Gene Indices: analysis of gene transcript sequences in highly sampled eukaryotic speciesNucleic Acids Research, 2001
- An optimized protocol for analysis of EST sequencesNucleic Acids Research, 2000
- A Greedy Algorithm for Aligning DNA SequencesJournal of Computational Biology, 2000
- The TIGR Gene Indices: reconstruction and representation of expressed gene sequencesNucleic Acids Research, 2000
- ESTScan: a program for detecting, evaluating, and reconstructing potential coding regions in EST sequences.1999