Literature DB >> 22969026

Ten years of standardizing proteomic data: a report on the HUPO-PSI Spring Workshop: April 12-14th, 2012, San Diego, USA.

Sandra Orchard1, Pierre-Alain Binz, Christoph Borchers, Michael K Gilson, Andrew R Jones, George Nicola, Juan Antonio Vizcaino, Eric W Deutsch, Henning Hermjakob.   

Abstract

The Human Proteome Organisation Proteomics Standards Initiative (HUPO-PSI) was established in 2002 with the aim of defining community standards for data representation in proteomics and facilitating data comparison, exchange and verification. Over the last 10 years significant advances have been made, with common data standards now published and implemented in the field of both mass spectrometry and molecular interactions. The 2012 meeting further advanced this work, with the mass spectrometry groups finalising approaches to capturing the output from recent developments in the field, such as quantitative proteomics and SRM. The molecular interaction group focused on improving the integration of data from multiple resources. Both groups united with a guest work track, organized by the HUPO Technology/Standards Committee, to formulate proposals for data submissions from the HUPO Human Proteome Project and to start an initiative to collect standard experimental protocols.
© 2012 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

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Year:  2012        PMID: 22969026      PMCID: PMC3895333          DOI: 10.1002/pmic.201270126

Source DB:  PubMed          Journal:  Proteomics        ISSN: 1615-9853            Impact factor:   3.984


  7 in total

1.  Data standardization by the HUPO-PSI: how has the community benefitted?

Authors:  Sandra Orchard; Henning Hermjakob
Journal:  Methods Mol Biol       Date:  2011

2.  PSICQUIC and PSISCORE: accessing and scoring molecular interactions.

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Journal:  Nat Methods       Date:  2011-06-29       Impact factor: 28.547

3.  Protein interaction data curation: the International Molecular Exchange (IMEx) consortium.

Authors:  Sandra Orchard; Samuel Kerrien; Sara Abbani; Bruno Aranda; Jignesh Bhate; Shelby Bidwell; Alan Bridge; Leonardo Briganti; Fiona S L Brinkman; Fiona Brinkman; Gianni Cesareni; Andrew Chatr-aryamontri; Emilie Chautard; Carol Chen; Marine Dumousseau; Johannes Goll; Robert E W Hancock; Robert Hancock; Linda I Hannick; Igor Jurisica; Jyoti Khadake; David J Lynn; Usha Mahadevan; Livia Perfetto; Arathi Raghunath; Sylvie Ricard-Blum; Bernd Roechert; Lukasz Salwinski; Volker Stümpflen; Mike Tyers; Peter Uetz; Ioannis Xenarios; Henning Hermjakob
Journal:  Nat Methods       Date:  2012-04       Impact factor: 28.547

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Authors:  Pierre Legrain; Ruedi Aebersold; Alexander Archakov; Amos Bairoch; Kumar Bala; Laura Beretta; John Bergeron; Christoph Borchers; Garry L Corthals; Catherine E Costello; Eric W Deutsch; Bruno Domon; William Hancock; Fuchu He; Denis Hochstrasser; Gyorgy Marko-Varga; Ghasem Hosseini Salekdeh; Salvatore Sechi; Michael Snyder; Sudhir Srivastava; Mathias Uhlen; Cathy H Hu; Tadashi Yamamoto; Young-Ki Paik; Gilbert S Omenn
Journal:  Mol Cell Proteomics       Date:  2011-04-29       Impact factor: 5.911

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Authors:  Andrew R Jones; Martin Eisenacher; Gerhard Mayer; Oliver Kohlbacher; Jennifer Siepen; Simon J Hubbard; Julian N Selley; Brian C Searle; James Shofstahl; Sean L Seymour; Randall Julian; Pierre-Alain Binz; Eric W Deutsch; Henning Hermjakob; Florian Reisinger; Johannes Griss; Juan Antonio Vizcaíno; Matthew Chambers; Angel Pizarro; David Creasy
Journal:  Mol Cell Proteomics       Date:  2012-02-27       Impact factor: 5.911

  7 in total
  7 in total

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Journal:  Sci Rep       Date:  2013       Impact factor: 4.379

2.  YPED: an integrated bioinformatics suite and database for mass spectrometry-based proteomics research.

Authors:  Christopher M Colangelo; Mark Shifman; Kei-Hoi Cheung; Kathryn L Stone; Nicholas J Carriero; Erol E Gulcicek; TuKiet T Lam; Terence Wu; Robert D Bjornson; Can Bruce; Angus C Nairn; Jesse Rinehart; Perry L Miller; Kenneth R Williams
Journal:  Genomics Proteomics Bioinformatics       Date:  2015-02-21       Impact factor: 7.691

3.  Hands-on workshops as an effective means of learning advanced technologies including genomics, proteomics and bioinformatics.

Authors:  Nichole Reisdorph; Robert Stearman; Katerina Kechris; Tzu Lip Phang; Richard Reisdorph; Jessica Prenni; David J Erle; Christopher Coldren; Kevin Schey; Alexey Nesvizhskii; Mark Geraci
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4.  qcML: an exchange format for quality control metrics from mass spectrometry experiments.

Authors:  Mathias Walzer; Lucia Espona Pernas; Sara Nasso; Wout Bittremieux; Sven Nahnsen; Pieter Kelchtermans; Peter Pichler; Henk W P van den Toorn; An Staes; Jonathan Vandenbussche; Michael Mazanek; Thomas Taus; Richard A Scheltema; Christian D Kelstrup; Laurent Gatto; Bas van Breukelen; Stephan Aiche; Dirk Valkenborg; Kris Laukens; Kathryn S Lilley; Jesper V Olsen; Albert J R Heck; Karl Mechtler; Ruedi Aebersold; Kris Gevaert; Juan Antonio Vizcaíno; Henning Hermjakob; Oliver Kohlbacher; Lennart Martens
Journal:  Mol Cell Proteomics       Date:  2014-04-23       Impact factor: 5.911

Review 5.  Harnessing Integrative Omics to Facilitate Molecular Imaging of the Human Epidermal Growth Factor Receptor Family for Precision Medicine.

Authors:  Martin Pool; H Rudolf de Boer; Marjolijn N Lub-de Hooge; Marcel A T M van Vugt; Elisabeth G E de Vries
Journal:  Theranostics       Date:  2017-05-27       Impact factor: 11.556

6.  The mzQuantML data standard for mass spectrometry-based quantitative studies in proteomics.

Authors:  Mathias Walzer; Da Qi; Gerhard Mayer; Julian Uszkoreit; Martin Eisenacher; Timo Sachsenberg; Faviel F Gonzalez-Galarza; Jun Fan; Conrad Bessant; Eric W Deutsch; Florian Reisinger; Juan Antonio Vizcaíno; J Alberto Medina-Aunon; Juan Pablo Albar; Oliver Kohlbacher; Andrew R Jones
Journal:  Mol Cell Proteomics       Date:  2013-04-18       Impact factor: 5.911

Review 7.  Differential expression of serum/plasma proteins in various infectious diseases: specific or nonspecific signatures.

Authors:  Sandipan Ray; Sandip K Patel; Vipin Kumar; Jagruti Damahe; Sanjeeva Srivastava
Journal:  Proteomics Clin Appl       Date:  2013-12-27       Impact factor: 3.494

  7 in total

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