MRFalign: protein homology detection through alignment of Markov random fields.
Sequence-based protein homology detection has been extensively studied and so far the most sensitive method is based upon comparison of protein sequence profiles, which are derived from multiple sequence alignment (MSA) of sequence homologs in a protein family. A sequence profile is usually represen...
Guardado en:
Autores principales: | Jianzhu Ma, Sheng Wang, Zhiyong Wang, Jinbo Xu |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Public Library of Science (PLoS)
2014
|
Materias: | |
Acceso en línea: | https://doaj.org/article/5af7307a47024e8695343ecfb15b8e60 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Image Haze Removal Based on Superpixels and Markov Random Field
por: Yibo Tan, et al.
Publicado: (2020) -
Distortion inequality for a Markov operator generated by a randomly perturbed family of Markov Maps in ℝd
por: Bugiel Peter, et al.
Publicado: (2021) -
Eternal non-Markovianity: from random unitary to Markov chain realisations
por: Nina Megier, et al.
Publicado: (2017) -
Rapid and homologous immunoassay for the detection of herbicide propisochlor in water
por: Yao Liu, et al.
Publicado: (2018) -
Transmembrane protein alignment and fold recognition based on predicted topology.
por: Han Wang, et al.
Publicado: (2013)