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PhyloFacts: an online structural phylogenomic encyclopedia for protein functional and structural classification
The Berkeley Phylogenomics Group presents PhyloFacts, a structural phylogenomic encyclopedia containing almost 10,000 'books' for protein families and domains, with pre-calculated structural, functional and evolutionary analyses. PhyloFacts enables biologists to avoid the systematic errors...
Autores principales: | , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2006
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1794543/ https://www.ncbi.nlm.nih.gov/pubmed/16973001 http://dx.doi.org/10.1186/gb-2006-7-9-r83 |
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author | Krishnamurthy, Nandini Brown, Duncan P Kirshner, Dan Sjölander, Kimmen |
author_facet | Krishnamurthy, Nandini Brown, Duncan P Kirshner, Dan Sjölander, Kimmen |
author_sort | Krishnamurthy, Nandini |
collection | PubMed |
description | The Berkeley Phylogenomics Group presents PhyloFacts, a structural phylogenomic encyclopedia containing almost 10,000 'books' for protein families and domains, with pre-calculated structural, functional and evolutionary analyses. PhyloFacts enables biologists to avoid the systematic errors associated with function prediction by homology through the integration of a variety of experimental data and bioinformatics methods in an evolutionary framework. Users can submit sequences for classification to families and functional subfamilies. PhyloFacts is available as a worldwide web resource from . |
format | Text |
id | pubmed-1794543 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2006 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-17945432007-02-08 PhyloFacts: an online structural phylogenomic encyclopedia for protein functional and structural classification Krishnamurthy, Nandini Brown, Duncan P Kirshner, Dan Sjölander, Kimmen Genome Biol Software The Berkeley Phylogenomics Group presents PhyloFacts, a structural phylogenomic encyclopedia containing almost 10,000 'books' for protein families and domains, with pre-calculated structural, functional and evolutionary analyses. PhyloFacts enables biologists to avoid the systematic errors associated with function prediction by homology through the integration of a variety of experimental data and bioinformatics methods in an evolutionary framework. Users can submit sequences for classification to families and functional subfamilies. PhyloFacts is available as a worldwide web resource from . BioMed Central 2006 2006-09-14 /pmc/articles/PMC1794543/ /pubmed/16973001 http://dx.doi.org/10.1186/gb-2006-7-9-r83 Text en Copyright © 2006 Krishnamurthy et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an open access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Software Krishnamurthy, Nandini Brown, Duncan P Kirshner, Dan Sjölander, Kimmen PhyloFacts: an online structural phylogenomic encyclopedia for protein functional and structural classification |
title | PhyloFacts: an online structural phylogenomic encyclopedia for protein functional and structural classification |
title_full | PhyloFacts: an online structural phylogenomic encyclopedia for protein functional and structural classification |
title_fullStr | PhyloFacts: an online structural phylogenomic encyclopedia for protein functional and structural classification |
title_full_unstemmed | PhyloFacts: an online structural phylogenomic encyclopedia for protein functional and structural classification |
title_short | PhyloFacts: an online structural phylogenomic encyclopedia for protein functional and structural classification |
title_sort | phylofacts: an online structural phylogenomic encyclopedia for protein functional and structural classification |
topic | Software |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1794543/ https://www.ncbi.nlm.nih.gov/pubmed/16973001 http://dx.doi.org/10.1186/gb-2006-7-9-r83 |
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