MUGAN specifications


Unique identifier OMICS_27534
Alternative name Multi-GPU accelerated AmpliconNoise
Interface Web user interface
Restrictions to use None
Input data Some pyrosequenced amplicons.
Input format ZIP
Biological technology Roche
Parallelization MPI, CUDA, OpenMP
Computer skills Basic
Stability Stable
Maintained No


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Publication for Multi-GPU accelerated AmpliconNoise

MUGAN institution(s)
Electrical and Computer Engineering, Seoul National University, Seoul, Korea; College of Pharmacy, Chung-Ang University, Seoul, Korea; Interdisciplinary Program in Bioinformatics, Seoul National University, Seoul, Korea
MUGAN funding source(s)
Supported, in part, by the National Research Foundation of Korea (NRF) grant [2014M3C9A3063541], in part by a grant of the Korea Health Technology R&D Project through the Korea Health Industry Development Institute (KHIDI), [HI15C3224], in part by Future Flagship Program [10053249] funded by the Ministry of Trade, Industry and Energy (MOTIE), and in part by Samsung Research Funding Center of Samsung Electronics [SRFC-IT1601-05].

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