Literature DB >> 16779398

YPED: a proteomics database for protein expression analysis.

Mark A Shifman1, Kexin Sun, Christopher M Colangelo, Kei-Hoi Cheung, Perry Miller, Kenneth Williams.   

Abstract

We have developed the Yale Protein Expression Database (YPED) to address the storage, retrieval, and integrated analysis of proteomics data generated by Yale's Keck Protein Chemistry and Mass Spectrometry Facility. YPED is Web-accessible and currently handles sample requisition, result reporting and sample comparison for ICAT, DIGE and MUDPIT samples. Sample descriptions are compatible with the evolving MIAPE standards. Peptides and proteins identified using Sequest or Mascot are validated with the Trans-Proteomic Pipeline developed at the Institute of Systems Biology and data from the resulting XML file are stored in the database. Researchers can view, subset and download their data through a secure Web interface.

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Year:  2005        PMID: 16779398      PMCID: PMC1560545     

Source DB:  PubMed          Journal:  AMIA Annu Symp Proc        ISSN: 1559-4076


  4 in total

1.  Development of a highly automated and multiplexed targeted proteome pipeline and assay for 112 rat brain synaptic proteins.

Authors:  Christopher M Colangelo; Gordana Ivosev; Lisa Chung; Thomas Abbott; Mark Shifman; Fumika Sakaue; David Cox; Robert R Kitchen; Lyle Burton; Stephen A Tate; Erol Gulcicek; Ron Bonner; Jesse Rinehart; Angus C Nairn; Kenneth R Williams
Journal:  Proteomics       Date:  2015-02-12       Impact factor: 3.984

Review 2.  Review of software tools for design and analysis of large scale MRM proteomic datasets.

Authors:  Christopher M Colangelo; Lisa Chung; Can Bruce; Kei-Hoi Cheung
Journal:  Methods       Date:  2013-05-21       Impact factor: 3.608

3.  Data Pre-Processing for Label-Free Multiple Reaction Monitoring (MRM) Experiments.

Authors:  Lisa M Chung; Christopher M Colangelo; Hongyu Zhao
Journal:  Biology (Basel)       Date:  2014-06-05

4.  Data-Independent Acquisition and Parallel Reaction Monitoring Mass Spectrometry Identification of Serum Biomarkers for Ovarian Cancer.

Authors:  Navin Rauniyar; Gang Peng; TuKiet T Lam; Hongyu Zhao; Gil Mor; Kenneth R Williams
Journal:  Biomark Insights       Date:  2017-06-05
  4 in total

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