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MPI-blastn and NCBI-TaxCollector: Improving metagenomic analysis with high performance classification and wide taxonomic attachment
Metagenomic sequencing technologies are advancing rapidly and the size of output data from high-throughput genetic sequencing has increased substantially over the years. This brings us to a scenario where advanced computational optimizations are requested to perform a metagenomic analysis. In this paper, we describe a new parallel implementation of nucleotide BLAST (MPI-blastn) and a new tool for taxonomic attachment of Basic Local Alignment Search Tool (BLAST) results that supports the NCBI taxonomy (NCBI-TaxCollector). MPI-blastn obtained a high performance when compared to the mpiBLAST and ScalaBLAST. In our best case, MPI-blastn was able to run 408 times faster in 384 cores. Our evaluations demonstrated that NCBI-TaxCollector is able to perform taxonomic attachments 125 times faster and needs 120 times less RAM than the previous TaxCollector. Through our optimizations, a multiple sequence search that currently takes 37 hours can be performed in less than 6 min and a post processing with NCBI taxonomic data attachment, which takes 48 hours, now is able to run in 23 min.
https://doi.org/10.1142/S0219720014500139
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Interference-aware Scheduling for Data-processing Frameworks in Container-based Clusters
- 26/10/2019
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Performance Evaluation of Container-Based Virtualization for High Performance Computing Environments
- 26/10/2019
- [rt_reading_time postfix="mins read" postfix_singular="min read"]
A Performance Comparison of Container-Based Virtualization Systems for MapReduce Clusters
- 26/10/2019
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Towards better manageability of database clusters on cloud computing platforms
- 26/10/2019
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