Literature DB >> 21182202

The Protein Information and Property Explorer 2: gaggle-like exploration of biological proteomic data within one webpage.

Hector Ramos1, Paul Shannon, Mi-Youn Brusniak, Ulrike Kusebauch, Robert L Moritz, Ruedi Aebersold.   

Abstract

The Protein Information and Property Explorer 2 (PIPE2) is an enhanced software program and updated web application that aims at providing the proteomic researcher a simple, intuitive user interface through which to begin inquiry into the biological significance of a list of proteins typically produced by MS/MS proteomic processing software. PIPE2 includes an improved interface, new data visualization options, and new data analysis methods for combining disparate, but related, data sets. In particular, PIPE2 has been enhanced to handle multi-dimensional data such as protein abundance, gene expression, and/or interaction data. The current architecture of PIPE2, modeled after that of Gaggle (a programming infrastructure for interoperability between separately developed software tools), contains independent functional units that can be instantiated and pieced together at the user's discretion to form a pipelined analysis workflow. Among these functional units is the Network Viewer component, which adds rich network analysis capabilities to the suite of existing proteomic web resources. Additionally, PIPE2 implements a framework within which new analysis procedures can be easily deployed and distributed over the World Wide Web. PIPE2 is available as a web service at http://pipe2.systemsbiology.net/.
Copyright © 2011 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Mesh:

Year:  2010        PMID: 21182202      PMCID: PMC3072271          DOI: 10.1002/pmic.201000459

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


  18 in total

1.  DAVID: Database for Annotation, Visualization, and Integrated Discovery.

Authors:  Glynn Dennis; Brad T Sherman; Douglas A Hosack; Jun Yang; Wei Gao; H Clifford Lane; Richard A Lempicki
Journal:  Genome Biol       Date:  2003-04-03       Impact factor: 13.583

2.  Cytoscape: a software environment for integrated models of biomolecular interaction networks.

Authors:  Paul Shannon; Andrew Markiel; Owen Ozier; Nitin S Baliga; Jonathan T Wang; Daniel Ramage; Nada Amin; Benno Schwikowski; Trey Ideker
Journal:  Genome Res       Date:  2003-11       Impact factor: 9.043

3.  Using GOstats to test gene lists for GO term association.

Authors:  S Falcon; R Gentleman
Journal:  Bioinformatics       Date:  2006-11-10       Impact factor: 6.937

4.  The Gaggle: an open-source software system for integrating bioinformatics software and data sources.

Authors:  Paul T Shannon; David J Reiss; Richard Bonneau; Nitin S Baliga
Journal:  BMC Bioinformatics       Date:  2006-03-28       Impact factor: 3.169

5.  BioGRID: a general repository for interaction datasets.

Authors:  Chris Stark; Bobby-Joe Breitkreutz; Teresa Reguly; Lorrie Boucher; Ashton Breitkreutz; Mike Tyers
Journal:  Nucleic Acids Res       Date:  2006-01-01       Impact factor: 16.971

6.  A uniform proteomics MS/MS analysis platform utilizing open XML file formats.

Authors:  Andrew Keller; Jimmy Eng; Ning Zhang; Xiao-jun Li; Ruedi Aebersold
Journal:  Mol Syst Biol       Date:  2005-08-02       Impact factor: 11.429

7.  Integration with the human genome of peptide sequences obtained by high-throughput mass spectrometry.

Authors:  Frank Desiere; Eric W Deutsch; Alexey I Nesvizhskii; Parag Mallick; Nichole L King; Jimmy K Eng; Alan Aderem; Rose Boyle; Erich Brunner; Samuel Donohoe; Nelson Fausto; Ernst Hafen; Lee Hood; Michael G Katze; Kathleen A Kennedy; Floyd Kregenow; Hookeun Lee; Biaoyang Lin; Dan Martin; Jeffrey A Ranish; David J Rawlings; Lawrence E Samelson; Yuzuru Shiio; Julian D Watts; Bernd Wollscheid; Michael E Wright; Wei Yan; Lihong Yang; Eugene C Yi; Hui Zhang; Ruedi Aebersold
Journal:  Genome Biol       Date:  2004-12-10       Impact factor: 13.583

8.  KEGG for linking genomes to life and the environment.

Authors:  Minoru Kanehisa; Michihiro Araki; Susumu Goto; Masahiro Hattori; Mika Hirakawa; Masumi Itoh; Toshiaki Katayama; Shuichi Kawashima; Shujiro Okuda; Toshiaki Tokimatsu; Yoshihiro Yamanishi
Journal:  Nucleic Acids Res       Date:  2007-12-12       Impact factor: 16.971

9.  VisANT: an online visualization and analysis tool for biological interaction data.

Authors:  Zhenjun Hu; Joseph Mellor; Jie Wu; Charles DeLisi
Journal:  BMC Bioinformatics       Date:  2004-02-19       Impact factor: 3.169

10.  The Firegoose: two-way integration of diverse data from different bioinformatics web resources with desktop applications.

Authors:  J Christopher Bare; Paul T Shannon; Amy K Schmid; Nitin S Baliga
Journal:  BMC Bioinformatics       Date:  2007-11-19       Impact factor: 3.169

View more
  6 in total

1.  A graphical and computational modeling platform for biological pathways.

Authors:  Alessandra Livigni; Laura O'Hara; Marta E Polak; Tim Angus; Derek W Wright; Lee B Smith; Tom C Freeman
Journal:  Nat Protoc       Date:  2018-03-15       Impact factor: 13.491

2.  A systems approach implicates nuclear receptor targeting in the Atp7b(-/-) mouse model of Wilson's disease.

Authors:  Phillip A Wilmarth; Kristopher K Short; Oliver Fiehn; Svetlana Lutsenko; Larry L David; Jason L Burkhead
Journal:  Metallomics       Date:  2012-05-08       Impact factor: 4.526

Review 3.  An assessment of current bioinformatic solutions for analyzing LC-MS data acquired by selected reaction monitoring technology.

Authors:  Mi-Youn K Brusniak; Caroline S Chu; Ulrike Kusebauch; Mark J Sartain; Julian D Watts; Robert L Moritz
Journal:  Proteomics       Date:  2012-04       Impact factor: 3.984

4.  ATAQS: A computational software tool for high throughput transition optimization and validation for selected reaction monitoring mass spectrometry.

Authors:  Mi-Youn K Brusniak; Sung-Tat Kwok; Mark Christiansen; David Campbell; Lukas Reiter; Paola Picotti; Ulrike Kusebauch; Hector Ramos; Eric W Deutsch; Jingchun Chen; Robert L Moritz; Ruedi Aebersold
Journal:  BMC Bioinformatics       Date:  2011-03-18       Impact factor: 3.307

Review 5.  Pathway and network approaches for identification of cancer signature markers from omics data.

Authors:  Jinlian Wang; Yiming Zuo; Yan-Gao Man; Itzhak Avital; Alexander Stojadinovic; Meng Liu; Xiaowei Yang; Rency S Varghese; Mahlet G Tadesse; Habtom W Ressom
Journal:  J Cancer       Date:  2015-01-01       Impact factor: 4.207

Review 6.  Open source libraries and frameworks for mass spectrometry based proteomics: a developer's perspective.

Authors:  Yasset Perez-Riverol; Rui Wang; Henning Hermjakob; Markus Müller; Vladimir Vesada; Juan Antonio Vizcaíno
Journal:  Biochim Biophys Acta       Date:  2013-03-01
  6 in total

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