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InParanoid 7: new algorithms and tools for eukaryotic orthology analysis
The InParanoid project gathers proteomes of completely sequenced eukaryotic species plus Escherichia coli and calculates pairwise ortholog relationships among them. The new release 7.0 of the database has grown by an order of magnitude over the previous version and now includes 100 species and their...
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/PMC2808972/ https://www.ncbi.nlm.nih.gov/pubmed/19892828 http://dx.doi.org/10.1093/nar/gkp931 |
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author | Östlund, Gabriel Schmitt, Thomas Forslund, Kristoffer Köstler, Tina Messina, David N. Roopra, Sanjit Frings, Oliver Sonnhammer, Erik L. L. |
author_facet | Östlund, Gabriel Schmitt, Thomas Forslund, Kristoffer Köstler, Tina Messina, David N. Roopra, Sanjit Frings, Oliver Sonnhammer, Erik L. L. |
author_sort | Östlund, Gabriel |
collection | PubMed |
description | The InParanoid project gathers proteomes of completely sequenced eukaryotic species plus Escherichia coli and calculates pairwise ortholog relationships among them. The new release 7.0 of the database has grown by an order of magnitude over the previous version and now includes 100 species and their collective 1.3 million proteins organized into 42.7 million pairwise ortholog groups. The InParanoid algorithm itself has been revised and is now both more specific and sensitive. Based on results from our recent benchmarking of low-complexity filters in homology assignment, a two-pass BLAST approach was developed that makes use of high-precision compositional score matrix adjustment, but avoids the alignment truncation that sometimes follows. We have also updated the InParanoid web site (http://InParanoid.sbc.su.se). Several features have been added, the response times have been improved and the site now sports a new, clearer look. As the number of ortholog databases has grown, it has become difficult to compare among these resources due to a lack of standardized source data and incompatible representations of ortholog relationships. To facilitate data exchange and comparisons among ortholog databases, we have developed and are making available two XML schemas: SeqXML for the input sequences and OrthoXML for the output ortholog clusters. |
format | Text |
id | pubmed-2808972 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-28089722010-01-20 InParanoid 7: new algorithms and tools for eukaryotic orthology analysis Östlund, Gabriel Schmitt, Thomas Forslund, Kristoffer Köstler, Tina Messina, David N. Roopra, Sanjit Frings, Oliver Sonnhammer, Erik L. L. Nucleic Acids Res Articles The InParanoid project gathers proteomes of completely sequenced eukaryotic species plus Escherichia coli and calculates pairwise ortholog relationships among them. The new release 7.0 of the database has grown by an order of magnitude over the previous version and now includes 100 species and their collective 1.3 million proteins organized into 42.7 million pairwise ortholog groups. The InParanoid algorithm itself has been revised and is now both more specific and sensitive. Based on results from our recent benchmarking of low-complexity filters in homology assignment, a two-pass BLAST approach was developed that makes use of high-precision compositional score matrix adjustment, but avoids the alignment truncation that sometimes follows. We have also updated the InParanoid web site (http://InParanoid.sbc.su.se). Several features have been added, the response times have been improved and the site now sports a new, clearer look. As the number of ortholog databases has grown, it has become difficult to compare among these resources due to a lack of standardized source data and incompatible representations of ortholog relationships. To facilitate data exchange and comparisons among ortholog databases, we have developed and are making available two XML schemas: SeqXML for the input sequences and OrthoXML for the output ortholog clusters. Oxford University Press 2010-01 2009-11-05 /pmc/articles/PMC2808972/ /pubmed/19892828 http://dx.doi.org/10.1093/nar/gkp931 Text en © The Author(s) 2009. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/2.5/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/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Articles Östlund, Gabriel Schmitt, Thomas Forslund, Kristoffer Köstler, Tina Messina, David N. Roopra, Sanjit Frings, Oliver Sonnhammer, Erik L. L. InParanoid 7: new algorithms and tools for eukaryotic orthology analysis |
title | InParanoid 7: new algorithms and tools for eukaryotic orthology analysis |
title_full | InParanoid 7: new algorithms and tools for eukaryotic orthology analysis |
title_fullStr | InParanoid 7: new algorithms and tools for eukaryotic orthology analysis |
title_full_unstemmed | InParanoid 7: new algorithms and tools for eukaryotic orthology analysis |
title_short | InParanoid 7: new algorithms and tools for eukaryotic orthology analysis |
title_sort | inparanoid 7: new algorithms and tools for eukaryotic orthology analysis |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2808972/ https://www.ncbi.nlm.nih.gov/pubmed/19892828 http://dx.doi.org/10.1093/nar/gkp931 |
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