Ensembl 2002: accommodating comparative genomics
The Ensembl (http://www.ensembl.org/) database project provides a bioinformatics framework to organise biology around the sequences of large genomes. It is a comprehensive source of stable automatic annotation of human, mouse and other genome sequences, available as either an interactive web site or...
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Published in | Nucleic acids research Vol. 31; no. 1; pp. 38 - 42 |
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Main Authors | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
England
Oxford University Press
01.01.2003
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Subjects | |
Online Access | Get full text |
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Summary: | The Ensembl (http://www.ensembl.org/) database project provides a bioinformatics framework to organise biology around the sequences of large genomes. It is a comprehensive source of stable automatic annotation of human, mouse and other genome sequences, available as either an interactive web site or as flat files. Ensembl also integrates manually annotated gene structures from external sources where available. As well as being one of the leading sources of genome annotation, Ensembl is an open source software engineering project to develop a portable system able to handle very large genomes and associated requirements. These range from sequence analysis to data storage and visualisation and installations exist around the world in both companies and at academic sites. With both human and mouse genome sequences available and more vertebrate sequences to follow, many of the recent developments in Ensembl have focusing on developing automatic comparative genome analysis and visualisation. |
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Bibliography: | local:gkg083 ark:/67375/HXZ-JCN5N8BH-6 Received September 30, 2002; Accepted October 2, 2002 istex:CECE57297E84411B308F102BC05BBE557F2AC2F7 To whom correspondence should be addressed. Tel: +44 1223494983; Fax: +44 1223494919; Email: th@sanger.ac.uk ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 23 ObjectType-Article-1 ObjectType-Feature-2 |
ISSN: | 0305-1048 1362-4962 1362-4962 |
DOI: | 10.1093/nar/gkg083 |