Latest Code in GitHub:
https://github.com/aquaskyline/MICA-aligner

To better utilize MIC-enabled computers for NGS data analysis, we developed a new short-read aligner MICA that is optimized in view of MIC’s limitation and the extra parallelism inside each MIC core. Experiments on aligning 150bp paired-end reads show that MICA using one MIC board is ~4.85 times faster than the CPU-(multi-core)-based BWA-MEM and about the same speed as the GPU-based SOAP3-dp. Furthermore, MICA’s simplicity allows very efficient scale-up when multiple MIC boards are used in a node (3 cards gives a 14-fold speedup over 6-core BWA-MEM).

Project Activity

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License

BSD License

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Additional Project Details

Operating Systems

BSD, Linux

Intended Audience

Education, Engineering, Science/Research

User Interface

Command-line

Programming Language

C++

Database Environment

Flat-file

Related Categories

C++ Bio-Informatics Software, C++ Data Analytics Tool

Registered

2014-02-12