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MRUniNovo

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Parallelizes de novo peptide sequencing. Based on any Hadoop distributed computing frameworks, MRUniNovo distributes different parts of a mass spectra dataset to different machines to be sequenced concurrently. MRUniNovo significantly reduces the time needed for de novo peptide sequencing without sacrificing correctness and accuracy of the results.

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MRUniNovo classification

MRUniNovo specifications

Software type:
Framework/Library
Restrictions to use:
None
Programming languages:
Java
Stability:
Stable
Maintained:
Yes
Interface:
Command line interface
Operating system:
Unix/Linux, Mac OS, Windows
Computer skills:
Advanced
Requirements:
JDK, Hadoop

MRUniNovo distribution

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MRUniNovo support

Maintainer

  • Tao Chen <>

Credits

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Publications

Institution(s)

College of Information Science and Engineering, Hunan University, National Supercomputing Center in Changsha, Changsha, China; State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences, Beijing Institute of Radiation Medicine, Beijing, China; School of Software and Electrical Engineering, Swinburne University of Technology, Melbourne, VIC, Australia

Funding source(s)

This research was supported by the Key Program of National Natural Science Foundation of China (Grant No. 61432005), the National Outstanding Youth Science Program of National Natural Science Foundation of China (Grant No. 61625202), the International Science & Technology Cooperation Program of China (Grant Nos. 2015DFA11240, 2014DFB30010), the National High-tech R&D Program of China (Grant No. 2015AA015305), the Ministry of Science and Technology of China (Grant Nos. 2013CB910801, 2014DFB30010, 2015AA020108) and the National Natural Science Foundation of China (Grant No. 61303073).

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