FunnyBase: a systems level functional annotation of Fundulus ESTs for the analysis of gene expression.

ABSTRACT:

Background

While studies of non-model organisms are critical for many research areas, such as evolution, development, and environmental biology, they present particular challenges for both experimental and computational genomic level research. Resources such as mass-produced microarrays and the computational tools linking these data to functional annotation at the system and pathway level are rarely available for non-model species. This type of "systems-level" analysis is critical to the understanding of patterns of gene expression that underlie biological processes.

Results

We describe a bioinformatics pipeline known as FunnyBase that has been used to store, annotate, and analyze 40,363 expressed sequence tags (ESTs) from the heart and liver of the fish, Fundulus heteroclit

SUBMITTER: Paschall JE 

PROVIDER: S-EPMC544896 | biostudies-literature | 2004 Dec

REPOSITORIES: biostudies-literature