Rational Design of Profile HMMs for Sensitive and Specific Sequence Detection with Case Studies Applied to Viruses, Bacteriophages, and Casposons
Profile hidden Markov models (HMMs) are a powerful way of modeling biological sequence diversity and constitute a very sensitive approach to detecting divergent sequences. Here, we report the development of protocols for the rational design of profile HMMs. These methods were implemented on TABAJARA...
Main Authors: | Liliane S. Oliveira, Alejandro Reyes, Bas E. Dutilh, Arthur Gruber |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-02-01
|
Series: | Viruses |
Subjects: | |
Online Access: | https://www.mdpi.com/1999-4915/15/2/519 |
Similar Items
-
Robust Recognition and Segmentation of Human Actions Using HMMs with Missing Observations
by: Bui Hung H, et al.
Published: (2005-01-01) -
GenSeed-HMM: A tool for progressive assembly using profile HMMs as seeds and its application in Alpavirinae viral discovery from metagenomic data
by: João Marcelo Pereira Alves, et al.
Published: (2016-03-01) -
Properties of the Statistical Complexity Functional and Partially Deterministic HMMs
by: Wolfgang Löhr
Published: (2009-08-01) -
Investigating the interactions of endornaviruses with each other and with other viruses in common bean, Phaseolus vulgaris
by: Thomas J. Brine, et al.
Published: (2023-09-01) -
Paving the Way to Unveil the Diversity and Evolution of Phage Genomes
by: Alejandro Reyes, et al.
Published: (2020-08-01)