Cargando…
Generalizations of Markov model to characterize biological sequences
BACKGROUND: The currently used k(th )order Markov models estimate the probability of generating a single nucleotide conditional upon the immediately preceding (gap = 0) k units. However, this neither takes into account the joint dependency of multiple neighboring nucleotides, nor does it consider th...
Autores principales: | Wang, Junwen, Hannenhalli, Sridhar |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2005
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1236913/ https://www.ncbi.nlm.nih.gov/pubmed/16144548 http://dx.doi.org/10.1186/1471-2105-6-219 |
Ejemplares similares
-
Efficient decoding algorithms for generalized hidden Markov model gene finders
por: Majoros, William H, et al.
Publicado: (2005) -
Skylign: a tool for creating informative, interactive logos representing sequence alignments and profile hidden Markov models
por: Wheeler, Travis J, et al.
Publicado: (2014) -
dfgcompare: a library to support process variant analysis through Markov models
por: Jalali, Amin, et al.
Publicado: (2021) -
Score-based prediction of genomic islands in prokaryotic genomes using hidden Markov models
por: Waack, Stephan, et al.
Publicado: (2006) -
LuxHMM: DNA methylation analysis with genome segmentation via hidden Markov model
por: Malonzo, Maia H., et al.
Publicado: (2023)