Cargando…
K-Pax2: Bayesian identification of cluster-defining amino acid positions in large sequence datasets
The recent growth in publicly available sequence data has introduced new opportunities for studying microbial evolution and spread. Because the pace of sequence accumulation tends to exceed the pace of experimental studies of protein function and the roles of individual amino acids, statistical tool...
Autores principales: | Pessia, Alberto, Grad, Yonatan, Cobey, Sarah, Puranen, Juha Santeri, Corander, Jukka |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Society for General Microbiology
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5320600/ https://www.ncbi.nlm.nih.gov/pubmed/28348810 http://dx.doi.org/10.1099/mgen.0.000025 |
Ejemplares similares
-
Kpax3: Bayesian bi-clustering of large sequence datasets
por: Pessia, Alberto, et al.
Publicado: (2018) -
Probabilistic Prediction of Contacts in Protein-Ligand Complexes
por: Hakulinen, Riku, et al.
Publicado: (2012) -
Bayesian clustering and feature selection for cancer tissue samples
por: Marttinen, Pekka, et al.
Publicado: (2009) -
Discovering recent selection forces shaping the evolution of dengue viruses based on polymorphism data across geographic scales
por: Li, Nien-Kung, et al.
Publicado: (2022) -
Convergent Amino Acid Signatures in Polyphyletic Campylobacter jejuni Subpopulations Suggest Human Niche Tropism
por: Méric, Guillaume, et al.
Publicado: (2018)