Cargando…
Accelerating pairwise statistical significance estimation for local alignment by harvesting GPU's power
BACKGROUND: Pairwise statistical significance has been recognized to be able to accurately identify related sequences, which is a very important cornerstone procedure in numerous bioinformatics applications. However, it is both computationally and data intensive, which poses a big challenge in terms...
Autores principales: | Zhang, Yuhong, Misra, Sanchit, Agrawal, Ankit, Patwary, Md Mostofa Ali, Liao, Wei-keng, Qin, Zhiguang, Choudhary, Alok |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2012
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3318904/ https://www.ncbi.nlm.nih.gov/pubmed/22537007 http://dx.doi.org/10.1186/1471-2105-13-S5-S3 |
Ejemplares similares
-
WFA-GPU: gap-affine pairwise read-alignment using GPUs
por: Aguado-Puig, Quim, et al.
Publicado: (2023) -
Pairwise statistical significance of local sequence alignment using multiple parameter sets and empirical justification of parameter set change penalty
por: Agrawal, Ankit, et al.
Publicado: (2009) -
GPU accelerated sequence alignment with traceback for GATK HaplotypeCaller
por: Ren, Shanshan, et al.
Publicado: (2019) -
Evaluating the Power of GPU Acceleration for IDW Interpolation Algorithm
por: Mei, Gang
Publicado: (2014) -
GPU-BLAST: using graphics processors to accelerate protein sequence alignment
por: Vouzis, Panagiotis D., et al.
Publicado: (2011)