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Bioinformatics. 2017 Feb 1;33(3):438-440. doi: 10.1093/bioinformatics/btw645.

CloudPhylo: a fast and scalable tool for phylogeny reconstruction.

Xu X1,2,3, Ji Z4,5,6, Zhang Z1,2.

Author information

1
CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics (BIG), Chinese Academy of Sciences (CAS), Beijing, China.
2
BIG Data Center, Beijing Institute of Genomics (BIG), Chinese Academy of Sciences (CAS), Beijing, China.
3
University of Chinese Academy of Sciences, Beijing, China.
4
College of Computer and Information Engineering, Inner Mongolia Normal University, Hohhot, China.
5
College of Environment and Energy Engineering, Beijing University of Technology, Beijing, China.
6
Inner Mongolia Xing'an Vocational and Technical College, Wulanhaote, China.

Abstract

Summary:

Phylogeny reconstruction is fundamentally crucial for molecular evolutionary studies but remains computationally challenging. Here we present CloudPhylo, a tool built on Spark that is capable of processing large-scale datasets for phylogeny reconstruction. As testified on empirical data, CloudPhylo is well suited for big data analysis, achieving high efficiency and good scalability on phylogenetic tree inference.

Availability and Implementation:

https://github.com/XingjianXu/cloudphylo

Contact:

zhangzhang@big.ac.cn

Supplementary Information:

Supplementary data are available at Bioinformatics online.

PMID:
28172557
DOI:
10.1093/bioinformatics/btw645
[Indexed for MEDLINE]

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