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ClaMS: A Classifier for Metagenomic Sequences
ClaMS – “Classifier for Metagenomic Sequences” – is a Java application for binning assembled contigs in metagenomes using user-specified training sets and initial parameters. Since ClaMS trains on sequence composition-based genomic signatures, it is much faster than binning tools that rely on alignm...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Michigan State University
2011
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3235515/ https://www.ncbi.nlm.nih.gov/pubmed/22180827 http://dx.doi.org/10.4056/sigs.2075298 |
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author | Pati, Amrita Heath, Lenwood S. Kyrpides, Nikos C. Ivanova, Natalia |
author_facet | Pati, Amrita Heath, Lenwood S. Kyrpides, Nikos C. Ivanova, Natalia |
author_sort | Pati, Amrita |
collection | PubMed |
description | ClaMS – “Classifier for Metagenomic Sequences” – is a Java application for binning assembled contigs in metagenomes using user-specified training sets and initial parameters. Since ClaMS trains on sequence composition-based genomic signatures, it is much faster than binning tools that rely on alignments to homologs; ClaMS can bin ~20,000 sequences in 3 minutes on a laptop with a 2.4 GH× Intel Core 2 Duo processor and 2 GB RAM. ClaMS is meant to be a desktop application for biologists and can be run on any machine under any Operating System on which the Java Runtime Environment can be installed. |
format | Online Article Text |
id | pubmed-3235515 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | Michigan State University |
record_format | MEDLINE/PubMed |
spelling | pubmed-32355152011-12-16 ClaMS: A Classifier for Metagenomic Sequences Pati, Amrita Heath, Lenwood S. Kyrpides, Nikos C. Ivanova, Natalia Stand Genomic Sci Research Articles ClaMS – “Classifier for Metagenomic Sequences” – is a Java application for binning assembled contigs in metagenomes using user-specified training sets and initial parameters. Since ClaMS trains on sequence composition-based genomic signatures, it is much faster than binning tools that rely on alignments to homologs; ClaMS can bin ~20,000 sequences in 3 minutes on a laptop with a 2.4 GH× Intel Core 2 Duo processor and 2 GB RAM. ClaMS is meant to be a desktop application for biologists and can be run on any machine under any Operating System on which the Java Runtime Environment can be installed. Michigan State University 2011-11-28 /pmc/articles/PMC3235515/ /pubmed/22180827 http://dx.doi.org/10.4056/sigs.2075298 Text en http://creativecommons.org/licenses/by/2.5/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Articles Pati, Amrita Heath, Lenwood S. Kyrpides, Nikos C. Ivanova, Natalia ClaMS: A Classifier for Metagenomic Sequences |
title | ClaMS: A Classifier for Metagenomic Sequences |
title_full | ClaMS: A Classifier for Metagenomic Sequences |
title_fullStr | ClaMS: A Classifier for Metagenomic Sequences |
title_full_unstemmed | ClaMS: A Classifier for Metagenomic Sequences |
title_short | ClaMS: A Classifier for Metagenomic Sequences |
title_sort | clams: a classifier for metagenomic sequences |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3235515/ https://www.ncbi.nlm.nih.gov/pubmed/22180827 http://dx.doi.org/10.4056/sigs.2075298 |
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