Annotare—a tool for annotating high-throughput biomedical investigations and resulting data

• Published in: Bioinformatics Vol. 26; no. 19; pp. 2470 - 2471
• Main Authors: Shankar, Ravi, Parkinson, Helen, Burdett, Tony, Hastings, Emma, Liu, Junmin, Miller, Michael, Srinivasa, Rashmi, White, Joseph, Brazma, Alvis, Sherlock, Gavin, Stoeckert, Christian J., Ball, Catherine A.
• Format: Journal Article
• Language: English
• Published: Oxford Oxford University Press 01.10.2010
• Subjects: Applications Note; Biological; Biological and medical sciences; Biomaterials; Computational Biology - methods; Computer programs; Databases, Factual; Freeware; Fundamental and applied biological sciences. Psychology; Gene Expression Profiling; General aspects; Licenses; Mathematics in biology. Statistical analysis. Models. Metrology. Data processing in biology (general aspects); Molecular Sequence Annotation; Oligonucleotide Array Sequence Analysis; Searching; Software; Source code; Surgical implants; User-Computer Interface; High throughput screening; Data
• ISSN: 1367-4803; 1460-2059; 1367-4811
• DOI: 10.1093/bioinformatics/btq462

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. Availability and Implementation: 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. Contact: rshankar@stanford.edu