Evading the annotation bottleneck: using sequence similarity to search non-sequence gene data.

ABSTRACT:

Background

Non-sequence gene data (images, literature, etc.) can be found in many different public databases. Access to these data is mostly by text based methods using gene names; however, gene annotation is neither complete, nor fully systematic between organisms, and is also not generally stable over time. This provides some challenges for text based access, especially for cross-species searches. We propose a method for non-sequence data retrieval based on sequence similarity, which removes dependence on annotation and text searches. This work was motivated by the need to provide better access to large numbers of in situ images, and the observation that such image data were usually associated with a specific gene sequence. Sequence similarity searches are found in existing gene

SUBMITTER: Gilchrist MJ 

PROVIDER: S-EPMC2587480 | biostudies-literature | 2008 Oct

REPOSITORIES: biostudies-literature