共 3 条
MEGA-CC: computing core of molecular evolutionary genetics analysis program for automated and iterative data analysis
被引:294
作者:
Kumar, Sudhir
[1
,2
]
Stecher, Glen
[1
]
Peterson, Daniel
[1
]
Tamura, Koichiro
[3
]
机构:
[1] Arizona State Univ, Ctr Evolutionary Med & Informat, Biodesign Inst, Tempe, AZ 85287 USA
[2] Arizona State Univ, Sch Life Sci, Tempe, AZ 85287 USA
[3] Tokyo Metropolitan Univ, Dept Biol, Hachioji, Tokyo 1920397, Japan
基金:
日本学术振兴会;
美国国家卫生研究院;
关键词:
D O I:
10.1093/bioinformatics/bts507
中图分类号:
Q5 [生物化学];
学科分类号:
071010 ;
081704 ;
摘要:
There is a growing need in the research community to apply the molecular evolutionary genetics analysis (MEGA) software tool for batch processing a large number of datasets and to integrate it into analysis workflows. Therefore, we now make available the computing core of the MEGA software as a stand-alone executable (MEGA-CC), along with an analysis prototyper (MEGA-Proto). MEGA-CC provides users with access to all the computational analyses available through MEGA's graphical user interface version. This includes methods for multiple sequence alignment, substitution model selection, evolutionary distance estimation, phylogeny inference, substitution rate and pattern estimation, tests of natural selection and ancestral sequence inference. Additionally, we have upgraded the source code for phylogenetic analysis using the maximum likelihood methods for parallel execution on multiple processors and cores. Here, we describe MEGA-CC and outline the steps for using MEGA-CC in tandem with MEGA-Proto for iterative and automated data analysis.
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页码:2685 / 2686
页数:2
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