Cargando…
Integrating alignment-based and alignment-free sequence similarity measures for biological sequence classification
Motivation: Alignment-based sequence similarity searches, while accurate for some type of sequences, can produce incorrect results when used on more divergent but functionally related sequences that have undergone the sequence rearrangements observed in many bacterial and viral genomes. Here, we pro...
Autores principales: | Borozan, Ivan, Watt, Stuart, Ferretti, Vincent |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4410667/ https://www.ncbi.nlm.nih.gov/pubmed/25573913 http://dx.doi.org/10.1093/bioinformatics/btv006 |
Ejemplares similares
-
Evaluation of Alignment Algorithms for Discovery and Identification of Pathogens Using RNA-Seq
por: Borozan, Ivan, et al.
Publicado: (2013) -
CSSSCL: a python package that uses combined sequence similarity scores for accurate taxonomic classification of long and short sequence reads
por: Borozan, Ivan, et al.
Publicado: (2016) -
Alignment-free similarity analysis for protein sequences based on fuzzy integral
por: Saw, Ajay Kumar, et al.
Publicado: (2019) -
Alignment-free method for DNA sequence clustering using Fuzzy integral similarity
por: Saw, Ajay Kumar, et al.
Publicado: (2019) -
MS4 - Multi-Scale Selector of Sequence Signatures: An alignment-free method for classification of biological sequences
por: Corel, Eduardo, et al.
Publicado: (2010)