Cargando…
FISH—family identification of sequence homologues using structure anchored hidden Markov models
The FISH server is highly accurate in identifying the family membership of domains in a query protein sequence, even in the case of very low sequence identities to known homologues. A performance test using SCOP sequences and an E-value cut-off of 0.1 showed that 99.3% of the top hits are to the cor...
Autores principales: | Tångrot, Jeanette, Wang, Lixiao, Kågström, Bo, Sauer, Uwe H. |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2006
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1538871/ https://www.ncbi.nlm.nih.gov/pubmed/16844969 http://dx.doi.org/10.1093/nar/gkl330 |
Ejemplares similares
-
Hidden Markov Models and their Applications in Biological Sequence Analysis
por: Yoon, Byung-Jun
Publicado: (2009) -
Using Hidden Markov Models to characterise intermittent social behaviour in fish shoals
por: Bode, Nikolai W. F., et al.
Publicado: (2017) -
Hidden Markov Models Incorporating Fuzzy Measures and Integrals for Protein Sequence Identification and Alignment
por: Bidargaddi, Niranjan P., et al.
Publicado: (2008) -
Inference in Hidden Markov Models
por: Cappe, Olivier
Publicado: (2005) -
Hidden Markov Modeling with HMMTeacher
por: Fuentes-Beals, Camilo, et al.
Publicado: (2022)