Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.18/5464
Título: Structure_threader: an improved method for automation and parallelization of programs structure, fastStructure and MavericK on multicore CPU systems
Autor: Pina-Martins, Francisco
Silva, Diogo N.
Fino, Joana
Paulo, Octávio S.
Palavras-chave: Bioinformatics/phyloinformatics
Clustering
Empirical
Genomics/proteomics
Molecular Evolution
Parallel Computing
Population Genetics
Doenças Genéticas
Data: Nov-2017
Editora: Wiley:
Citação: Mol Ecol Resour. 2017 Nov;17(6):e268-e274. doi: 10.1111/1755-0998.12702. Epub 2017 Sep 16.
Resumo: Structure_threader is a program to parallelize multiple runs of genetic clustering software that does not make use of multithreading technology (structure, fastStructure and MavericK) on multicore computers. Our approach was benchmarked across multiple systems and displayed great speed improvements relative to the single-threaded implementation, scaling very close to linearly with the number of physical cores used. Structure_threader was compared to previous software written for the same task-ParallelStructure and StrAuto and was proven to be the faster (up to 25% faster) wrapper under all tested scenarios. Furthermore, Structure_threader can perform several automatic and convenient operations, assisting the user in assessing the most biologically likely value of 'K' via implementations such as the "Evanno," or "Thermodynamic Integration" tests and automatically draw the "meanQ" plots (static or interactive) for each value of K (or even combined plots). Structure_threader is written in python 3 and licensed under the GPLv3. It can be downloaded free of charge at https://github.com/StuntsPT/Structure_threader.
Peer review: yes
URI: http://hdl.handle.net/10400.18/5464
DOI: 10.1111/1755-0998.12702
ISSN: 1755-098X
Versão do Editor: https://onlinelibrary.wiley.com/doi/abs/10.1111/1755-0998.12702
Aparece nas colecções:DGH - Artigos em revistas internacionais

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