Research - Technology - Communication - Education
Search

Advanced Search
Featured Sponsors
Agilent Technologies

Fox Chase Cancer Center
Proteome Informatics Research Group (iPRG)
| Current Members | Studies | Membership History |

The iPRG held a Satellite Educational Workshop at ABRF 2009 entitled "Real-life Proteome Bioinformatics for Laboratories".

Download Study Data (authentication required)

The mission of the ABRF iPRG (formerly the BioInformatics Committee) is to educate ABRF members and the scientific community on best application and practice of bioinformatics toward accurate and comprehensive analysis of proteomics data. The iPRG actively supports and participates in the development and advancement of new algorithms, software tools and strategies for proteome informatics with the goal of both educating and introducing these technologies to the membership.

Current Membership
Dr. Paul A Rudnick (Chair) - NIST
Manor Askenazi - Dana-Farber Cancer Institute
Dr Conrad Bessant - Cranfield University
Karl Clauser - Broad Institute of MIT and Harvard
Jayson Falkner - University of Michigan
William S. Lane - Harvard University
Dr. Lennart Martens - EMBL-EBI
Dr. W. Hayes McDonald - Vanderbilt University
Karen Meyer-Arendt - University of Colorado
Brian C. Searle - Proteome Software Inc.
Dr Jeffrey A Kowalak (EB Liaison) - NIMH

Studies
1) iPRG2009 Study - Initial Results Presentation at ABRF2009
Determining significant differences between mass spectrometry datasets from biological samples is one of the major challenges for proteome informatics. The ability to determine protein level differences is the first step towards accurate quantitation and is routinely used in tasks such as biomarker discovery. In this work, the Proteome Informatics Research Group presents the results of a collaborative study focusing on the determination of significantly different proteins between two complex samples.
    - ABRF2009 Presentation Slides (2,683K)
    - ABRF2009 Poster (1,467K)
2) iPRG2009 Study Materials
The iPRG has conducted a collaborative study focusing on the evaluation of proteomics laboratories in determining the significantly different proteins between two complex samples. These files were distributed to participants to help standardize results.
    - Study Announcement (.pdf)
    - Required Excel Results Template (.xls)
    - Required Study Database (1.7MB .fasta)
3) iPRG2008 Study - Initial Results Presentation at ABRF2008
    - ABRF2008 Poster (2,055K)
    - ABRF2008 Slides (728K)
    - ABRF2008 ASMS Poster (890K)
4) iPRG2008 Study Materials
    - View Study Announcement (23K)
    - Study database with concatenated decoys (fixed) (30,485K)
    - Study database (fixed)
    - MGF format peak list set (5,132K)
    - Raw data - PART1 (33,253K)
    - Raw data - PART2 (30,218K)
    - Raw data - PART3 (25,498K)
    - Raw data - PART4 (28,933K)
    - Raw data - PART5 (26,564K)
    - mzData format peak lists (7,585K)
    - mzXML format peak lists (5,332K)
    - DTA format peaklists (16,203K)
    - Required Excel results template (23K)
5) sPRG BIC2007 Study
In 2005, the ABRF Proteomics Standards Research Group (sPRG) created a proteomics standard composed of 49 highly purified human proteins in an equimolar mixture. The sPRG conducted a blind study to assess the proteomics community’s ability to determine the identities of the constituent proteins using their proteomics platforms of choice. The results of this study were presented at ABRF 2006 in Long Beach, CA. The study revealed the value of multiple independent analyses of this proteomics standard, and contributors were asked to voluntarily contribute their datasets for future public distribution. Approximately 30 datasets were submitted representing a wide variety of proteomics strategies and mass spectrometry platforms.
The sPRG Bioinformatics Committee (BIC) has analyzed these datasets in detail using a wide variety of informatics tools. Generating a definitive list of protein constituents was our initial goal. In addition, we present metrics for quality assessment from these data, and we demonstrate statistical approaches for determining false positive rates. We also explore the complex issues resulting from protein sequence homology. The ABRF sPRG2006 Proteomics Standard constitutes a valuable dataset for the evaluation of proteome informatics tools.

    - View Press Release - March 2007
    - View Poster - BIC2007 (1,209K)
    - View Presentation Slides - BIC2007 (4,020K)
    - Download sPRG BIC DB (zipped archive) (5,547K)
    - Download sPRG BIC Final Protein List (37K)
    - Download Metadata on sPRG2007 datasets.xls (18K)
    - Download Original Raw Data (ProteomeCommons.org)

Membership History
Member Name Organization Details
William S. Lane Harvard University  EB Liaison: 03/06 - 04/07
Dr. Alexey I Nesvizhskii University of Michigan  Member: 03/06 - 03/08
Dr. Paul A Rudnick NIST  Member: 03/08 - 02/09
Brian C. Searle Proteome Software Inc.  Chair: 02/08 - 02/09
Member: 03/06 - 02/08
Dr. Sean L. Seymour Applied Biosystems  Chair: 03/06 - 02/08
Member: 02/08 - 02/09
Dr. David L Tabb Vanderbilt University Medical Center  Member: 03/06 - 02/09