Cargando…
MissMax: alignment-free sequence comparison with mismatches through filtering and heuristics
BACKGROUND: Measuring sequence similarity is central for many problems in bioinformatics. In several contexts alignment-free techniques based on exact occurrences of substrings are faster, but also less accurate, than alignment-based approaches. Recently, several studies attempted to bridge the accu...
Autor principal: | Pizzi, Cinzia |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4839165/ https://www.ncbi.nlm.nih.gov/pubmed/27103940 http://dx.doi.org/10.1186/s13015-016-0072-x |
Ejemplares similares
-
An alignment-free heuristic for fast sequence comparisons with applications to phylogeny reconstruction
por: Chockalingam, Sriram P., et al.
Publicado: (2020) -
Heuristics for multiobjective multiple sequence alignment
por: Abbasi, Maryam, et al.
Publicado: (2016) -
Mismatch-tolerant, alignment-free sequence classification using multiple spaced seeds and multiindex Bloom filters
por: Chu, Justin, et al.
Publicado: (2020) -
Vargas: heuristic-free alignment for assessing linear and graph read aligners
por: Darby, Charlotte A, et al.
Publicado: (2020) -
kmacs: the k-mismatch average common substring approach to alignment-free sequence comparison
por: Leimeister, Chris-Andre, et al.
Publicado: (2014)