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Using the entrapment sequence method as a standard to evaluate key steps of proteomics data analysis process.
Feng, Xiao-Dong; Li, Li-Wei; Zhang, Jian-Hong; Zhu, Yun-Ping; Chang, Cheng; Shu, Kun-Xian; Ma, Jie.
Affiliation
  • Feng XD; Chongqing University of Posts and Telecommunications, 2 Chong Wen Road of Nan'an District, Chongqing, 400065, China.
  • Li LW; Department of Bioinformatics, State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Engineering Research Center for Protein Drugs, National Center for Protein Sciences (Beijing), Beijing Institute of Radiation Medicine, 38 Life Science Park Road, Beijing, 102206, China.
  • Zhang JH; Department of Bioinformatics, State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Engineering Research Center for Protein Drugs, National Center for Protein Sciences (Beijing), Beijing Institute of Radiation Medicine, 38 Life Science Park Road, Beijing, 102206, China.
  • Zhu YP; Department of Bioinformatics, State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Engineering Research Center for Protein Drugs, National Center for Protein Sciences (Beijing), Beijing Institute of Radiation Medicine, 38 Life Science Park Road, Beijing, 102206, China.
  • Chang C; Department of Bioinformatics, State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Engineering Research Center for Protein Drugs, National Center for Protein Sciences (Beijing), Beijing Institute of Radiation Medicine, 38 Life Science Park Road, Beijing, 102206, China.
  • Shu KX; Department of Bioinformatics, State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Engineering Research Center for Protein Drugs, National Center for Protein Sciences (Beijing), Beijing Institute of Radiation Medicine, 38 Life Science Park Road, Beijing, 102206, China.
  • Ma J; Chongqing University of Posts and Telecommunications, 2 Chong Wen Road of Nan'an District, Chongqing, 400065, China. shukx@cqupt.edu.cn.
BMC Genomics ; 18(Suppl 2): 143, 2017 03 14.
Article in En | MEDLINE | ID: mdl-28361671
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Peptides / Archaeal Proteins / Sequence Analysis, Protein / Proteomics / Search Engine Type of study: Prognostic_studies Limits: Humans Language: En Journal: BMC Genomics Journal subject: GENETICA Year: 2017 Document type: Article Affiliation country: China Country of publication: Reino Unido
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Peptides / Archaeal Proteins / Sequence Analysis, Protein / Proteomics / Search Engine Type of study: Prognostic_studies Limits: Humans Language: En Journal: BMC Genomics Journal subject: GENETICA Year: 2017 Document type: Article Affiliation country: China Country of publication: Reino Unido