Extraction of transcript diversity from scientific literature.

ABSTRACT: Transcript diversity generated by alternative splicing and associated mechanisms contributes heavily to the functional complexity of biological systems. The numerous examples of the mechanisms and functional implications of these events are scattered throughout the scientific literature. Thus, it is crucial to have a tool that can automatically extract the relevant facts and collect them in a knowledge base that can aid the interpretation of data from high-throughput methods. We have developed and applied a composite text-mining method for extracting information on transcript diversity from the entire MEDLINE database in order to create a database of genes with alternative transcripts. It contains information on tissue specificity, number of isoforms, causative mechanisms, functional impli

SUBMITTER: Shah PK 

PROVIDER: S-EPMC1183516 | biostudies-literature | 2005 Jun

REPOSITORIES: biostudies-literature