Literature DB >> 21365761

Visualize: a free and open source multifunction tool for proteomics data analysis.

Brian D Halligan1, Andrew S Greene.   

Abstract

A major challenge in the field of high-throughput proteomics is the conversion of the large volume of experimental data that is generated into biological knowledge. Typically, proteomics experiments involve the combination and comparison of multiple data sets and the analysis and annotation of these combined results. Although there are some commercial applications that provide some of these functions, there is a need for a free, open source, multifunction tool for advanced proteomics data analysis. We have developed the Visualize program that provides users with the abilities to visualize, analyze, and annotate proteomics data; combine data from multiple runs, and quantitate differences between individual runs and combined data sets. Visualize is licensed under GNU GPL and can be downloaded from http://proteomics.mcw.edu/visualize. It is available as compiled client-based executable files for both Windows and Mac OS X platforms as well as PERL source code.
Copyright © 2011 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

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Year:  2011        PMID: 21365761      PMCID: PMC3816356          DOI: 10.1002/pmic.201000556

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


  20 in total

1.  Gene ontology: tool for the unification of biology. The Gene Ontology Consortium.

Authors:  M Ashburner; C A Ball; J A Blake; D Botstein; H Butler; J M Cherry; A P Davis; K Dolinski; S S Dwight; J T Eppig; M A Harris; D P Hill; L Issel-Tarver; A Kasarskis; S Lewis; J C Matese; J E Richardson; M Ringwald; G M Rubin; G Sherlock
Journal:  Nat Genet       Date:  2000-05       Impact factor: 38.330

Review 2.  The human plasma proteome: history, character, and diagnostic prospects.

Authors:  N Leigh Anderson; Norman G Anderson
Journal:  Mol Cell Proteomics       Date:  2002-11       Impact factor: 5.911

3.  Peptizer, a tool for assessing false positive peptide identifications and manually validating selected results.

Authors:  Kenny Helsens; Evy Timmerman; Joël Vandekerckhove; Kris Gevaert; Lennart Martens
Journal:  Mol Cell Proteomics       Date:  2008-07-30       Impact factor: 5.911

4.  Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources.

Authors:  Da Wei Huang; Brad T Sherman; Richard A Lempicki
Journal:  Nat Protoc       Date:  2009       Impact factor: 13.491

5.  OMSSA Parser: an open-source library to parse and extract data from OMSSA MS/MS search results.

Authors:  Harald Barsnes; Steffen Huber; Albert Sickmann; Ingvar Eidhammer; Lennart Martens
Journal:  Proteomics       Date:  2009-07       Impact factor: 3.984

6.  XTandem Parser: an open-source library to parse and analyse X!Tandem MS/MS search results.

Authors:  Thilo Muth; Marc Vaudel; Harald Barsnes; Lennart Martens; Albert Sickmann
Journal:  Proteomics       Date:  2010-04       Impact factor: 3.984

7.  MassSieve: panning MS/MS peptide data for proteins.

Authors:  Douglas J Slotta; Melinda A McFarland; Sanford P Markey
Journal:  Proteomics       Date:  2010-08       Impact factor: 3.984

8.  Trans-Proteomic Pipeline supports and improves analysis of electron transfer dissociation data sets.

Authors:  Eric W Deutsch; David Shteynberg; Henry Lam; Zhi Sun; Jimmy K Eng; Christine Carapito; Priska D von Haller; Natalie Tasman; Luis Mendoza; Terry Farrah; Ruedi Aebersold
Journal:  Proteomics       Date:  2010-03       Impact factor: 3.984

Review 9.  A guided tour of the Trans-Proteomic Pipeline.

Authors:  Eric W Deutsch; Luis Mendoza; David Shteynberg; Terry Farrah; Henry Lam; Natalie Tasman; Zhi Sun; Erik Nilsson; Brian Pratt; Bryan Prazen; Jimmy K Eng; Daniel B Martin; Alexey I Nesvizhskii; Ruedi Aebersold
Journal:  Proteomics       Date:  2010-03       Impact factor: 3.984

10.  Quantitative analysis of SILAC data sets using spectral counting.

Authors:  Sarah J Parker; Brian D Halligan; Andrew S Greene
Journal:  Proteomics       Date:  2010-04       Impact factor: 3.984

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  21 in total

1.  Targeting the endothelial progenitor cell surface proteome to identify novel mechanisms that mediate angiogenic efficacy in a rodent model of vascular disease.

Authors:  Catherine C Kaczorowski; Timothy J Stodola; Brian R Hoffmann; Anthony R Prisco; Pengyuan Y Liu; Daniela N Didier; Jamie R Karcher; Mingyu Liang; Howard J Jacob; Andrew S Greene
Journal:  Physiol Genomics       Date:  2013-09-10       Impact factor: 3.107

2.  Vascular endothelial growth factor-A signaling in bone marrow-derived endothelial progenitor cells exposed to hypoxic stress.

Authors:  Brian R Hoffmann; Jordan R Wagner; Anthony R Prisco; Agnieszka Janiak; Andrew S Greene
Journal:  Physiol Genomics       Date:  2013-09-10       Impact factor: 3.107

3.  Stone former urine proteome demonstrates a cationic shift in protein distribution compared to normal.

Authors:  Ann M Kolbach-Mandel; Neil S Mandel; Brian R Hoffmann; Jack G Kleinman; Jeffrey A Wesson
Journal:  Urolithiasis       Date:  2017-03-17       Impact factor: 3.436

4.  Mitochondrial proteomic analysis reveals deficiencies in oxygen utilization in medullary thick ascending limb of Henle in the Dahl salt-sensitive rat.

Authors:  Nadezhda N Zheleznova; Chun Yang; Robert P Ryan; Brian D Halligan; Mingyu Liang; Andrew S Greene; Allen W Cowley
Journal:  Physiol Genomics       Date:  2012-07-17       Impact factor: 3.107

5.  Mitochondria-regulated formation of endothelium-derived extracellular vesicles shifts the mediator of flow-induced vasodilation.

Authors:  Julie K Freed; Matthew J Durand; Brian R Hoffmann; John C Densmore; Andrew S Greene; David D Gutterman
Journal:  Am J Physiol Heart Circ Physiol       Date:  2017-02-17       Impact factor: 4.733

6.  Tyrosine nitration of voltage-dependent anion channels in cardiac ischemia-reperfusion: reduction by peroxynitrite scavenging.

Authors:  Meiying Yang; Amadou K S Camara; Bassam T Wakim; Yifan Zhou; Ashish K Gadicherla; Wai-Meng Kwok; David F Stowe
Journal:  Biochim Biophys Acta       Date:  2012-06-15

7.  Human cytomegalovirus pUL29/28 and pUL38 repression of p53-regulated p21CIP1 and caspase 1 promoters during infection.

Authors:  John P Savaryn; Justin M Reitsma; Tarin M Bigley; Brian D Halligan; Zhikang Qian; Dong Yu; Scott S Terhune
Journal:  J Virol       Date:  2012-12-12       Impact factor: 5.103

8.  Chemical proteomics-based analysis of off-target binding profiles for rosiglitazone and pioglitazone: clues for assessing potential for cardiotoxicity.

Authors:  Brian R Hoffmann; Mohamed F El-Mansy; Daniel S Sem; Andrew S Greene
Journal:  J Med Chem       Date:  2012-09-28       Impact factor: 7.446

9.  Comprehensive characterization of glioblastoma tumor tissues for biomarker identification using mass spectrometry-based label-free quantitative proteomics.

Authors:  Maxime S Heroux; Marla A Chesnik; Brian D Halligan; Mona Al-Gizawiy; Jennifer M Connelly; Wade M Mueller; Scott D Rand; Elizabeth J Cochran; Peter S LaViolette; Mark G Malkin; Kathleen M Schmainda; Shama P Mirza
Journal:  Physiol Genomics       Date:  2014-05-06       Impact factor: 3.107

10.  Human cytomegalovirus pUL97 regulates the viral major immediate early promoter by phosphorylation-mediated disruption of histone deacetylase 1 binding.

Authors:  Tarin M Bigley; Justin M Reitsma; Shama P Mirza; Scott S Terhune
Journal:  J Virol       Date:  2013-04-24       Impact factor: 5.103

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