title: MRUniNovo: an efficient tool for de novo peptide sequencing utilizing the hadoop distributed computing framework.
abstract: Tandem mass spectrometry-based de novo peptide sequencing is a complex and time-consuming process. The current algorithms for de novo peptide sequencing cannot rapidly and thoroughly process large mass spectrometry datasets. In this paper, we propose MRUniNovo, a novel tool for parallel de novo peptide sequencing. MRUniNovo parallelizes UniNovo based on the Hadoop compute platform. Our experimental results demonstrate that MRUniNovo significantly reduces the computation time of de novo peptide sequencing without sacrificing the correctness and accuracy of the results, and thus can process very large datasets that UniNovo cannot.
  
  
  
  MRUniNovo is an open source software tool implemented in java. The source code and the parameter settings are available at http://bioinfo.hupo.org.cn/MRUniNovo/index.php.
  
  
  
  s131020002@hnu.edu.cn ; taochen1019@163.com.
  
  
  
  Supplementary data are available at Bioinformatics online.
authors.affiliation: College of Information Science and Engineering, Hunan University, National Supercomputing Center in Changsha, Changsha, China.
authors.forename: Chuang
authors.initials: C
authors.lastname: Li
authors.affiliation: State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences, Beijing Institute of Radiation Medicine, Beijing, China.
authors.forename: Tao
authors.initials: T
authors.lastname: Chen
authors.affiliation: School of Software and Electrical Engineering, Swinburne University of Technology, Melbourne, Victoria, Australia.
authors.forename: Qiang
authors.initials: Q
authors.lastname: He
authors.affiliation: State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences, Beijing Institute of Radiation Medicine, Beijing, China.
authors.forename: Yunping
authors.initials: Y
authors.lastname: Zhu
authors.affiliation: College of Information Science and Engineering, Hunan University, National Supercomputing Center in Changsha, Changsha, China.
authors.forename: Kenli
authors.initials: K
authors.lastname: Li
mesh_terms: D000465:Algorithms; D006801:Humans; D010455:Peptides / Q000737:chemistry*; D020539:Sequence Analysis, Protein / Q000379:methods*; D012984:Software; D053719:Tandem Mass Spectrometry / Q000379:methods*
chemical_list: D010455:Peptides