Cargando…
HIPPI: highly accurate protein family classification with ensembles of HMMs
BACKGROUND: Given a new biological sequence, detecting membership in a known family is a basic step in many bioinformatics analyses, with applications to protein structure and function prediction and metagenomic taxon identification and abundance profiling, among others. Yet family identification of...
Autores principales: | Nguyen, Nam-phuong, Nute, Michael, Mirarab, Siavash, Warnow, Tandy |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5123343/ https://www.ncbi.nlm.nih.gov/pubmed/28185571 http://dx.doi.org/10.1186/s12864-016-3097-0 |
Ejemplares similares
-
MRL and SuperFine+MRL: new supertree methods
por: Nguyen, Nam, et al.
Publicado: (2012) -
Ultra-large alignments using phylogeny-aware profiles
por: Nguyen, Nam-phuong D., et al.
Publicado: (2015) -
MAGUS+eHMMs: improved multiple sequence alignment accuracy for fragmentary sequences
por: Shen, Chengze, et al.
Publicado: (2021) -
ASTRAL-II: coalescent-based species tree estimation with many hundreds of taxa and thousands of genes
por: Mirarab, Siavash, et al.
Publicado: (2015) -
A comparative study of SVDquartets and other coalescent-based species tree estimation methods
por: Chou, Jed, et al.
Publicado: (2015)