title: The Genome Reverse Compiler: an explorative annotation tool.
abstract: BACKGROUND
  As sequencing costs have decreased, whole genome sequencing has become a viable and integral part of biological laboratory research. However, the tools with which genes can be found and functionally characterized have not been readily adapted to be part of the everyday biological sciences toolkit. Most annotation pipelines remain as a service provided by large institutions or come as an unwieldy conglomerate of independent components, each requiring their own setup and maintenance.
  
  
  RESULTS
  To address this issue we have created the Genome Reverse Compiler, an easy-to-use, open-source, automated annotation tool. The GRC is independent of third party software installs and only requires a Linux operating system. This stands in contrast to most annotation packages, which typically require installation of relational databases, sequence similarity software, and a number of other programming language modules. We provide details on the methodology used by GRC and evaluate its performance on several groups of prokaryotes using GRC's built in comparison module.
  
  
  CONCLUSIONS
  Traditionally, to perform whole genome annotation a user would either set up a pipeline or take advantage of an online service. With GRC the user need only provide the genome he or she wants to annotate and the function resource files to use. The result is high usability and a very minimal learning curve for the intended audience of life science researchers and bioinformaticians. We believe that the GRC fills a valuable niche in allowing users to perform explorative, whole-genome annotation.
authors.affiliation: Virginia Bioinformatics Institute, Virginia Tech, Blacksburg, VA, USA. anwarren@vt.edu
authors.forename: Andrew S
authors.initials: AS
authors.lastname: Warren
authors.forename: João Carlos
authors.initials: JC
authors.lastname: Setubal
mesh_terms: D003628:Database Management Systems; D030541:Databases, Genetic; D016678:Genome; D017422:Sequence Analysis, DNA / Q000379:methods*; D012984:Software