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Integrating functional genomics data.

Integrating functional genomics data. Functional annotation of fully sequenced genomes is still a major issue. High-throughput data sets could be used to provide more and better functional annotations. However differences in data quality need to be taken into account. For this purpose these high-throughput data sets need to be integrated so that the data quality can be assessed, hypotheses can be prioritized and existing annotations can be improved and extended. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Biochemical Society transactions Pubmed

Integrating functional genomics data.

Biochemical Society transactions , Volume 31 (Pt 6): -1476 – Aug 17, 2004

Integrating functional genomics data.


Abstract

Functional annotation of fully sequenced genomes is still a major issue. High-throughput data sets could be used to provide more and better functional annotations. However differences in data quality need to be taken into account. For this purpose these high-throughput data sets need to be integrated so that the data quality can be assessed, hypotheses can be prioritized and existing annotations can be improved and extended.

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ISSN
0300-5127
DOI
10.1042/bst0311484
pmid
14641095

Abstract

Functional annotation of fully sequenced genomes is still a major issue. High-throughput data sets could be used to provide more and better functional annotations. However differences in data quality need to be taken into account. For this purpose these high-throughput data sets need to be integrated so that the data quality can be assessed, hypotheses can be prioritized and existing annotations can be improved and extended.

Journal

Biochemical Society transactionsPubmed

Published: Aug 17, 2004

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