The Co-regulation Data Harvester: automating gene annotation starting from a transcriptome database.

ABSTRACT: Identifying co-regulated genes provides a useful approach for defining pathway-specific machinery in an organism. To be efficient, this approach relies on thorough genome annotation, a process much slower than genome sequencing per se. Tetrahymena thermophila, a unicellular eukaryote, has been a useful model organism and has a fully sequenced but sparsely annotated genome. One important resource for studying this organism has been an online transcriptomic database. We have developed an automated approach to gene annotation in the context of transcriptome data in T. thermophila, called the Co-regulation Data Harvester (CDH). Beginning with a gene of interest, the CDH identifies co-regulated genes by accessing the Tetrahymena transcriptome database. It then identifies th

SUBMITTER: Tsypin LM 

PROVIDER: S-EPMC5663188 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature