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Mining the Arabidopsis thaliana genome for highly-divergent seven transmembrane receptors.

ABSTRACT: To identify divergent seven-transmembrane receptor (7TMR) candidates from the Arabidopsis thaliana genome, multiple protein classification methods were combined, including both alignment-based and alignment-free classifiers. This resolved problems in optimally training individual classifiers using limited and divergent samples, and increased stringency for candidate proteins. We identified 394 proteins as 7TMR candidates and highlighted 54 with corresponding expression patterns for further investigation.

SUBMITTER: Moriyama EN 

PROVIDER: S-EPMC1794564 | biostudies-literature | 2006

REPOSITORIES: biostudies-literature

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Mining the Arabidopsis thaliana genome for highly-divergent seven transmembrane receptors.

Moriyama Etsuko N EN   Strope Pooja K PK   Opiyo Stephen O SO   Chen Zhongying Z   Jones Alan M AM  

Genome biology 20061025 10

To identify divergent seven-transmembrane receptor (7TMR) candidates from the Arabidopsis thaliana genome, multiple protein classification methods were combined, including both alignment-based and alignment-free classifiers. This resolved problems in optimally training individual classifiers using limited and divergent samples, and increased stringency for candidate proteins. We identified 394 proteins as 7TMR candidates and highlighted 54 with corresponding expression patterns for further inves  ...[more]

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