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METAREP: JCVI metagenomics reports—an open source tool for high-performance comparative metagenomics
Summary: JCVI Metagenomics Reports (METAREP) is a Web 2.0 application designed to help scientists analyze and compare annotated metagenomics datasets. It utilizes Solr/Lucene, a high-performance scalable search engine, to quickly query large data collections. Furthermore, users can use its SQL-like...
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/PMC2951084/ https://www.ncbi.nlm.nih.gov/pubmed/20798169 http://dx.doi.org/10.1093/bioinformatics/btq455 |
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author | Goll, Johannes Rusch, Douglas B. Tanenbaum, David M. Thiagarajan, Mathangi Li, Kelvin Methé, Barbara A. Yooseph, Shibu |
author_facet | Goll, Johannes Rusch, Douglas B. Tanenbaum, David M. Thiagarajan, Mathangi Li, Kelvin Methé, Barbara A. Yooseph, Shibu |
author_sort | Goll, Johannes |
collection | PubMed |
description | Summary: JCVI Metagenomics Reports (METAREP) is a Web 2.0 application designed to help scientists analyze and compare annotated metagenomics datasets. It utilizes Solr/Lucene, a high-performance scalable search engine, to quickly query large data collections. Furthermore, users can use its SQL-like query syntax to filter and refine datasets. METAREP provides graphical summaries for top taxonomic and functional classifications as well as a GO, NCBI Taxonomy and KEGG Pathway Browser. Users can compare absolute and relative counts of multiple datasets at various functional and taxonomic levels. Advanced comparative features comprise statistical tests as well as multidimensional scaling, heatmap and hierarchical clustering plots. Summaries can be exported as tab-delimited files, publication quality plots in PDF format. A data management layer allows collaborative data analysis and result sharing. Availability: Web site http://www.jcvi.org/metarep; source code http://github.com/jcvi/METAREP Contact: syooseph@jcvi.org Supplementary information: Supplementary data are available at Bioinformatics online. |
format | Text |
id | pubmed-2951084 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-29510842010-10-08 METAREP: JCVI metagenomics reports—an open source tool for high-performance comparative metagenomics Goll, Johannes Rusch, Douglas B. Tanenbaum, David M. Thiagarajan, Mathangi Li, Kelvin Methé, Barbara A. Yooseph, Shibu Bioinformatics Applications Note Summary: JCVI Metagenomics Reports (METAREP) is a Web 2.0 application designed to help scientists analyze and compare annotated metagenomics datasets. It utilizes Solr/Lucene, a high-performance scalable search engine, to quickly query large data collections. Furthermore, users can use its SQL-like query syntax to filter and refine datasets. METAREP provides graphical summaries for top taxonomic and functional classifications as well as a GO, NCBI Taxonomy and KEGG Pathway Browser. Users can compare absolute and relative counts of multiple datasets at various functional and taxonomic levels. Advanced comparative features comprise statistical tests as well as multidimensional scaling, heatmap and hierarchical clustering plots. Summaries can be exported as tab-delimited files, publication quality plots in PDF format. A data management layer allows collaborative data analysis and result sharing. Availability: Web site http://www.jcvi.org/metarep; source code http://github.com/jcvi/METAREP Contact: syooseph@jcvi.org Supplementary information: Supplementary data are available at Bioinformatics online. Oxford University Press 2010-10-15 2010-08-26 /pmc/articles/PMC2951084/ /pubmed/20798169 http://dx.doi.org/10.1093/bioinformatics/btq455 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 Goll, Johannes Rusch, Douglas B. Tanenbaum, David M. Thiagarajan, Mathangi Li, Kelvin Methé, Barbara A. Yooseph, Shibu METAREP: JCVI metagenomics reports—an open source tool for high-performance comparative metagenomics |
title | METAREP: JCVI metagenomics reports—an open source tool for high-performance comparative metagenomics |
title_full | METAREP: JCVI metagenomics reports—an open source tool for high-performance comparative metagenomics |
title_fullStr | METAREP: JCVI metagenomics reports—an open source tool for high-performance comparative metagenomics |
title_full_unstemmed | METAREP: JCVI metagenomics reports—an open source tool for high-performance comparative metagenomics |
title_short | METAREP: JCVI metagenomics reports—an open source tool for high-performance comparative metagenomics |
title_sort | metarep: jcvi metagenomics reports—an open source tool for high-performance comparative metagenomics |
topic | Applications Note |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2951084/ https://www.ncbi.nlm.nih.gov/pubmed/20798169 http://dx.doi.org/10.1093/bioinformatics/btq455 |
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