| Literature DB >> 22390928 |
Zhang Zhang1, Jingfa Xiao, Jiayan Wu, Haiyan Zhang, Guiming Liu, Xumin Wang, Lin Dai.
Abstract
Constructing multiple homologous alignments for protein-coding DNA sequences is crucial for a variety of bioinformatic analyses but remains computationally challenging. With the growing amount of sequence data available and the ongoing efforts largely dependent on protein-coding DNA alignments, there is an increasing demand for a tool that can process a large number of homologous groups and generate multiple protein-coding DNA alignments. Here we present a parallel tool - ParaAT that is capable of parallelly constructing multiple protein-coding DNA alignments for a large number of homologs. As testified on empirical datasets, ParaAT is well suited for large-scale data analysis in the high-throughput era, providing good scalability and exhibiting high parallel efficiency for computationally demanding tasks. ParaAT is freely available for academic use only at http://cbb.big.ac.cn/software.Mesh:
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Year: 2012 PMID: 22390928 DOI: 10.1016/j.bbrc.2012.02.101
Source DB: PubMed Journal: Biochem Biophys Res Commun ISSN: 0006-291X Impact factor: 3.575