Literature DB >> 22941959

Interfaces to PeptideAtlas: a case study of standard data access systems.

Sarah Killcoyne1, Jeremy Handcock, Thomas Robinson, Eric W Deutsch, John Boyle.   

Abstract

Access to public data sets is important to the scientific community as a resource to develop new experiments or validate new data. Projects such as the PeptideAtlas, Ensembl and The Cancer Genome Atlas (TCGA) offer both access to public data and a repository to share their own data. Access to these data sets is often provided through a web page form and a web service API. Access technologies based on web protocols (e.g. http) have been in use for over a decade and are widely adopted across the industry for a variety of functions (e.g. search, commercial transactions, and social media). Each architecture adapts these technologies to provide users with tools to access and share data. Both commonly used web service technologies (e.g. REST and SOAP), and custom-built solutions over HTTP are utilized in providing access to research data. Providing multiple access points ensures that the community can access the data in the simplest and most effective manner for their particular needs. This article examines three common access mechanisms for web accessible data: BioMart, caBIG, and Google Data Sources. These are illustrated by implementing each over the PeptideAtlas repository and reviewed for their suitability based on specific usages common to research. BioMart, Google Data Sources, and caBIG are each suitable for certain uses. The tradeoffs made in the development of the technology are dependent on the uses each was designed for (e.g. security versus speed). This means that an understanding of specific requirements and tradeoffs is necessary before selecting the access technology.

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Year:  2011        PMID: 22941959      PMCID: PMC3431717          DOI: 10.1093/bib/bbr067

Source DB:  PubMed          Journal:  Brief Bioinform        ISSN: 1467-5463            Impact factor:   11.622


  24 in total

1.  Empirical statistical model to estimate the accuracy of peptide identifications made by MS/MS and database search.

Authors:  Andrew Keller; Alexey I Nesvizhskii; Eugene Kolker; Ruedi Aebersold
Journal:  Anal Chem       Date:  2002-10-15       Impact factor: 6.986

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.  Managing Chaos: Lessons Learned Developing Software in the Life Sciences.

Authors:  Sarah Killcoyne; John Boyle
Journal:  Comput Sci Eng       Date:  2009-11       Impact factor: 2.080

4.  BioMart and Bioconductor: a powerful link between biological databases and microarray data analysis.

Authors:  Steffen Durinck; Yves Moreau; Arek Kasprzyk; Sean Davis; Bart De Moor; Alvis Brazma; Wolfgang Huber
Journal:  Bioinformatics       Date:  2005-08-15       Impact factor: 6.937

5.  Computational prediction of proteotypic peptides for quantitative proteomics.

Authors:  Parag Mallick; Markus Schirle; Sharon S Chen; Mark R Flory; Hookeun Lee; Daniel Martin; Jeffrey Ranish; Brian Raught; Robert Schmitt; Thilo Werner; Bernhard Kuster; Ruedi Aebersold
Journal:  Nat Biotechnol       Date:  2006-12-31       Impact factor: 54.908

6.  mspecLINE: bridging knowledge of human disease with the proteome.

Authors:  Jeremy Handcock; Eric W Deutsch; John Boyle
Journal:  BMC Med Genomics       Date:  2010-03-10       Impact factor: 3.063

7.  Analysis of the Saccharomyces cerevisiae proteome with PeptideAtlas.

Authors:  Nichole L King; Eric W Deutsch; Jeffrey A Ranish; Alexey I Nesvizhskii; James S Eddes; Parag Mallick; Jimmy Eng; Frank Desiere; Mark Flory; Daniel B Martin; Bong Kim; Hookeun Lee; Brian Raught; Ruedi Aebersold
Journal:  Genome Biol       Date:  2006       Impact factor: 13.583

8.  Semantic web data warehousing for caGrid.

Authors:  Jamie P McCusker; Joshua A Phillips; Alejandra González Beltrán; Anthony Finkelstein; Michael Krauthammer
Journal:  BMC Bioinformatics       Date:  2009-10-01       Impact factor: 3.307

Review 9.  LinkHub: a Semantic Web system that facilitates cross-database queries and information retrieval in proteomics.

Authors:  Andrew K Smith; Kei-Hoi Cheung; Kevin Y Yip; Martin Schultz; Mark K Gerstein
Journal:  BMC Bioinformatics       Date:  2007-05-09       Impact factor: 3.169

10.  Systems biology driven software design for the research enterprise.

Authors:  John Boyle; Christopher Cavnor; Sarah Killcoyne; Ilya Shmulevich
Journal:  BMC Bioinformatics       Date:  2008-06-25       Impact factor: 3.169

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  1 in total

1.  A complete mass-spectrometric map of the yeast proteome applied to quantitative trait analysis.

Authors:  Paola Picotti; Mathieu Clément-Ziza; Henry Lam; David S Campbell; Alexander Schmidt; Eric W Deutsch; Hannes Röst; Zhi Sun; Oliver Rinner; Lukas Reiter; Qin Shen; Jacob J Michaelson; Andreas Frei; Simon Alberti; Ulrike Kusebauch; Bernd Wollscheid; Robert L Moritz; Andreas Beyer; Ruedi Aebersold
Journal:  Nature       Date:  2013-01-20       Impact factor: 49.962

  1 in total

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