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PartiGeneDB—collating partial genomes
Owing to the high costs involved, only 28 eukaryotic genomes have been fully sequenced to date. On the other hand, an increasing number of projects have been initiated to generate survey sequence data for a large number of other eukaryotic organisms. For the most part, these data are poorly organize...
Autores principales: | , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2005
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC540063/ https://www.ncbi.nlm.nih.gov/pubmed/15608203 http://dx.doi.org/10.1093/nar/gki109 |
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author | Peregrín-Alvarez, José M. Yam, Andrew Sivakumar, Gaya Parkinson, John |
author_facet | Peregrín-Alvarez, José M. Yam, Andrew Sivakumar, Gaya Parkinson, John |
author_sort | Peregrín-Alvarez, José M. |
collection | PubMed |
description | Owing to the high costs involved, only 28 eukaryotic genomes have been fully sequenced to date. On the other hand, an increasing number of projects have been initiated to generate survey sequence data for a large number of other eukaryotic organisms. For the most part, these data are poorly organized and difficult to analyse. Here, we present PartiGeneDB (http://www.partigenedb.org), a publicly available database resource, which collates and processes these sequence datasets on a species-specific basis to form non-redundant sets of gene objects—which we term partial genomes. Users may query the database to identify particular genes of interest either on the basis of sequence similarity or via the use of simple text searches for specific patterns of BLAST annotation. Alternatively, users can examine entire partial genome datasets on the basis of relative expression of gene objects or by the use of an interactive Java-based tool (SimiTri), which displays sequence similarity relationships for a large number of sequence objects in a single graphic. PartiGeneDB facilitates regular incremental updates of new sequence datasets associated with both new and exisitng species. PartiGeneDB currently contains the assembled partial genomes derived from 1.83 million sequences associated with 247 different eukaryotes. |
format | Text |
id | pubmed-540063 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2005 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-5400632005-01-04 PartiGeneDB—collating partial genomes Peregrín-Alvarez, José M. Yam, Andrew Sivakumar, Gaya Parkinson, John Nucleic Acids Res Articles Owing to the high costs involved, only 28 eukaryotic genomes have been fully sequenced to date. On the other hand, an increasing number of projects have been initiated to generate survey sequence data for a large number of other eukaryotic organisms. For the most part, these data are poorly organized and difficult to analyse. Here, we present PartiGeneDB (http://www.partigenedb.org), a publicly available database resource, which collates and processes these sequence datasets on a species-specific basis to form non-redundant sets of gene objects—which we term partial genomes. Users may query the database to identify particular genes of interest either on the basis of sequence similarity or via the use of simple text searches for specific patterns of BLAST annotation. Alternatively, users can examine entire partial genome datasets on the basis of relative expression of gene objects or by the use of an interactive Java-based tool (SimiTri), which displays sequence similarity relationships for a large number of sequence objects in a single graphic. PartiGeneDB facilitates regular incremental updates of new sequence datasets associated with both new and exisitng species. PartiGeneDB currently contains the assembled partial genomes derived from 1.83 million sequences associated with 247 different eukaryotes. Oxford University Press 2005-01-01 2004-12-17 /pmc/articles/PMC540063/ /pubmed/15608203 http://dx.doi.org/10.1093/nar/gki109 Text en Copyright © 2005 Oxford University Press |
spellingShingle | Articles Peregrín-Alvarez, José M. Yam, Andrew Sivakumar, Gaya Parkinson, John PartiGeneDB—collating partial genomes |
title | PartiGeneDB—collating partial genomes |
title_full | PartiGeneDB—collating partial genomes |
title_fullStr | PartiGeneDB—collating partial genomes |
title_full_unstemmed | PartiGeneDB—collating partial genomes |
title_short | PartiGeneDB—collating partial genomes |
title_sort | partigenedb—collating partial genomes |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC540063/ https://www.ncbi.nlm.nih.gov/pubmed/15608203 http://dx.doi.org/10.1093/nar/gki109 |
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