PoSeNoGap

REDS, HEIG-VD

Thoma Yann

12.12.2016 - Swiss found

Portable Scalable Concurrency for Genomic Data Processing

PoSeNoGap aims at designing a new framework for managing big genomic data. Sequencing a human genome outputs around 300GB of raw data. Compressing these data is necessary and requires computing resources. Analyzing these data also is very time consumming. Therefore within this project the team will develop new approaches for both compression and analysis of genomic data. Within this context, the REDS is developing an efficient solution for clustering unmapped sequences thanks to a high-end FPGA platform.

 

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