title: Annotare--a tool for annotating high-throughput biomedical investigations and resulting data.
abstract: Computational methods in molecular biology will increasingly depend on standards-based annotations that describe biological experiments in an unambiguous manner. Annotare is a software tool that enables biologists to easily annotate their high-throughput experiments, biomaterials and data in a standards-compliant way that facilitates meaningful search and analysis.
  
  
  METHODS
  Annotare is available from http://code.google.com/p/annotare/ under the terms of the open-source MIT License (http://www.opensource.org/licenses/mit-license.php). It has been tested on both Mac and Windows.
authors: Department of Biochemistry, Stanford University School of Medicine, Stanford, CA 94305-5307, USA. rshankar@stanford.edu
authors: Ravi
authors: R
authors: Shankar
authors: Helen
authors: H
authors: Parkinson
authors: Tony
authors: T
authors: Burdett
authors: Emma
authors: E
authors: Hastings
authors: Junmin
authors: J
authors: Liu
authors: Michael
authors: M
authors: Miller
authors: Rashmi
authors: R
authors: Srinivasa
authors: Joseph
authors: J
authors: White
authors: Alvis
authors: A
authors: Brazma
authors: Gavin
authors: G
authors: Sherlock
authors: Christian J
authors: CJ
authors: Stoeckert
authors: Catherine A
authors: CA
authors: Ball
mesh_terms: D019295:Computational Biology / Q000379:methods; D016208:Databases, Factual; D020869:Gene Expression Profiling; D058977:Molecular Sequence Annotation; D020411:Oligonucleotide Array Sequence Analysis; D012984:Software; D014584:User-Computer Interface