Cargando…
In silico prioritisation of candidate genes for prokaryotic gene function discovery: an application of phylogenetic profiles
BACKGROUND: In silico candidate gene prioritisation (CGP) aids the discovery of gene functions by ranking genes according to an objective relevance score. While several CGP methods have been described for identifying human disease genes, corresponding methods for prokaryotic gene function discovery...
Autores principales: | Lin, Frank PY, Coiera, Enrico, Lan, Ruiting, Sintchenko, Vitali |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2009
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2669486/ https://www.ncbi.nlm.nih.gov/pubmed/19292914 http://dx.doi.org/10.1186/1471-2105-10-86 |
Ejemplares similares
-
Computational Bacterial Genome-Wide Analysis of Phylogenetic Profiles
Reveals Potential Virulence Genes of Streptococcus
agalactiae
por: Lin, Frank Po-Yen, et al.
Publicado: (2011) -
TargetMine, an Integrated Data Warehouse for Candidate Gene
Prioritisation and Target Discovery
por: Chen, Yi-An, et al.
Publicado: (2011) -
Translational web robots for pathogen genome analysis
por: Sintchenko, Vitali, et al.
Publicado: (2011) -
Towards bioinformatics assisted infectious disease control
por: Sintchenko, Vitali, et al.
Publicado: (2009) -
The systematic functional characterisation of Xq28 genes prioritises candidate disease genes
por: Kolb-Kokocinski, Anja, et al.
Publicado: (2006)