Parallel-META is a GPGPU and Multi-Core CPU based software which can parallelly analyze massive metagenomic data structures, report the classification, construction and distribution on phylogenetic & taxonomic and functional level.
From the current version (2.4) we also embedded functional analysis to Parallel-META.
Parallel-META uses parallel algorithm based on GPGPU and Multi-core CPU for acceleration. We have selected some sample metagenomic data sets and gotten a speed up of more than 18.
The new version of 2.4 is released now.
Currently Parallel-META online has already served for more than 30 research groups worldwide, including research on environmental microbial communities of soil and ocean, human microbiome of oral and gut, methane production, microalgae cultivate system and so on.
Download 2.4 with functional analysis 10/18/2013
Download the functional annotation database 10/18/2013
Download 2.3 09/12/2013
Sample Data Download
|Healthy Saliva Sample 1||
|Healthy Saliva Sample 2||
|Decayed Saliva Sample 1||
|Decayed Saliva Sample 2||
Yang F, Zeng X, Ning K, et al." Saliva microbiomes distinguish caries-active from healthy human populations",ISME J 2011.
X.Su et al. "Parallel-META: A High-Performance Computational Pipeline for Metagenomic Data Analysis",IEEE ISB2011, 2011
X.Su et al. "Parallel-META: Efficient Metagenomic Data Analysis Based on High-Performance Computation", Accepted by BMC systems biology