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Annotare—a tool for annotating high-throughput biomedical investigations and resulting data
Summary: 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 i...
Autores principales: | , , , , , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2010
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2944206/ https://www.ncbi.nlm.nih.gov/pubmed/20733062 http://dx.doi.org/10.1093/bioinformatics/btq462 |
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author | 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. |
author_facet | 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. |
author_sort | Shankar, Ravi |
collection | PubMed |
description | Summary: 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 |
format | Text |
id | pubmed-2944206 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-29442062010-09-27 Annotare—a tool for annotating high-throughput biomedical investigations and resulting data 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. Bioinformatics Applications Note Summary: 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 Oxford University Press 2010-10-01 2010-08-23 /pmc/articles/PMC2944206/ /pubmed/20733062 http://dx.doi.org/10.1093/bioinformatics/btq462 Text en © The Author(s) 2010. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/2.0/uk/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.5), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Applications Note 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. Annotare—a tool for annotating high-throughput biomedical investigations and resulting data |
title | Annotare—a tool for annotating high-throughput biomedical investigations and resulting data |
title_full | Annotare—a tool for annotating high-throughput biomedical investigations and resulting data |
title_fullStr | Annotare—a tool for annotating high-throughput biomedical investigations and resulting data |
title_full_unstemmed | Annotare—a tool for annotating high-throughput biomedical investigations and resulting data |
title_short | Annotare—a tool for annotating high-throughput biomedical investigations and resulting data |
title_sort | annotare—a tool for annotating high-throughput biomedical investigations and resulting data |
topic | Applications Note |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2944206/ https://www.ncbi.nlm.nih.gov/pubmed/20733062 http://dx.doi.org/10.1093/bioinformatics/btq462 |
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