Cargando…
Predicting the accuracy of multiple sequence alignment algorithms by using computational intelligent techniques
Multiple sequence alignments (MSAs) have become one of the most studied approaches in bioinformatics to perform other outstanding tasks such as structure prediction, biological function analysis or next-generation sequencing. However, current MSA algorithms do not always provide consistent solutions...
Autores principales: | Ortuño, Francisco M., Valenzuela, Olga, Pomares, Hector, Rojas, Fernando, Florido, Javier P., Urquiza, Jose M., Rojas, Ignacio |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2013
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3592395/ https://www.ncbi.nlm.nih.gov/pubmed/23066102 http://dx.doi.org/10.1093/nar/gks919 |
Ejemplares similares
-
Jointly aligning a group of DNA reads improves accuracy of identifying large deletions
por: Shrestha, Anish M S, et al.
Publicado: (2018) -
MM-align: a quick algorithm for aligning multiple-chain protein complex structures using iterative dynamic programming
por: Mukherjee, Srayanta, et al.
Publicado: (2009) -
Statistical algorithms improve accuracy of gene fusion detection
por: Hsieh, Gillian, et al.
Publicado: (2017) -
Theory and applications of time series analysis
por: Valenzuela, Olga, et al.
Publicado: (2019) -
BatAlign: an incremental method for accurate alignment of sequencing reads
por: Lim, Jing-Quan, et al.
Publicado: (2015)