Genome biology, 2006-10, Vol.7 (10), p.R96-R96, Article R96
2006
Volltextzugriff (PDF)
Details
- Autor(en) / Beteiligte
- Titel
- Mining the Arabidopsis thaliana genome for highly-divergent seven transmembrane receptors
- Ist Teil von
- Genome biology, 2006-10, Vol.7 (10), p.R96-R96, Article R96
- Ort / Verlag
- England: BioMed Central Ltd
- Erscheinungsjahr
- 2006
- Quelle
- MEDLINE
- Beschreibungen/Notizen
- 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.
- Sprache
- Englisch
- Identifikatoren
- ISSN: 1474-760X, 1465-6906eISSN: 1474-760X, 1465-6914DOI: 10.1186/gb-2006-7-10-r96Titel-ID: cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_1794564
- Format
- –
- Schlagworte
- additional data file, Arabidopsis - genetics, Arabidopsis Proteins - genetics, BASIC BIOLOGICAL SCIENCES, Databases, Protein, dipeptide composition, Gene Expression Profiling, Genetic Variation, Genetic Vectors, Genome, Plant, Markov Chains, Method, ocular albinism, partial little square, profile HMMs, Receptors, Cell Surface - genetics