Skip to main content

Tranche Distributed Repository and ProteomeCommons.org

  • Protocol
  • First Online:
Data Mining in Proteomics

Part of the book series: Methods in Molecular Biology ((MIMB,volume 696))

Abstract

Tranche is a distributed repository designed to redundantly store and disseminate data sets for the proteomics community. It has several important features for researchers, including support for large data files, prepublication access controls, licensing options, and ensuring both data provenance and integrity. Tranche tightly integrates with ProteomeCommons.org, an online community resource that offers a variety of useful tools for proteomics researchers, including project management and data annotation. In this chapter, we discuss the development of Tranche and ProteomeCommons.org, paying particular attention to why it is desirable that data be publicly available and unrestricted as well as the challenges facing data archiving and open access. We then provide a technical overview of Tranche and ProteomeCommons.org as well as step-by-step instructions for using these resources, including the graphical user interface (GUI ), command-line tools, and Application Programmer Interface (API). We end with a brief discussion of current and future development efforts and collaborations.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Protocol
USD 49.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 159.00
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Falkner JA, Ulintz PJ, Andrews PC (2006) A code and data archival and dissemination tool for the proteomics community. Am Biotechnol Lab 38:28–30

    Google Scholar 

  2. Toronto International Data Release Workshop Authors (2009) Prepublication data sharing. Nature 461:168–170

    Article  Google Scholar 

  3. Schofield PN, Bubela T, Weaver T, Portilla L et al (2009) Post-publication sharing of data and tools. Nature 461:171–173

    Article  CAS  PubMed  Google Scholar 

  4. Editorial (2009) Data’s shameful neglect. Nature 461:145

    Google Scholar 

  5. Salo D (2008) Innkeeper at the roach motel. Libr Trends 57:98–123

    Article  Google Scholar 

  6. Heidorn PB (2008) Shedding light on the dark data in the long tail of science. Libr Trends 57:280–299

    Article  Google Scholar 

  7. Wiley S (2009) Why don’t we share data? The Scientist 23:33

    Google Scholar 

  8. Deutsch EW, Lam H, Aebersold R (2008) PeptideAtlas: a resource for target selection for emerging targeted proteomics workflows. EMBO Rep 9:429–434

    Article  CAS  PubMed  Google Scholar 

  9. Craig R, Cortens JP, Beavis RC (2004) An open source system for analyzing, validating and storing protein identification data. Proteome Res 3:1234–1242

    Article  CAS  Google Scholar 

  10. Martens L, Hermjakob H, Jones P, Taylor C et al (2005) The PRoteomics IDEntification database. Proteomics 5:3537–3545

    Article  CAS  PubMed  Google Scholar 

  11. Prasad TS, Goel R, Kandasamy K, Keerthikumar S et al (2009) Human Protein Reference Database – 2009 update. Nucleic Acids Res 37:D767–D772

    Article  CAS  Google Scholar 

  12. Slotta DJ, Barrett T, Edgar R (2009) NCBI Peptidome: a new public repository for mass spectrometry peptide identifications. Nat Biotechnol 27:600–601

    Article  CAS  PubMed  Google Scholar 

  13. (2007) Publication guidelines for the analysis and documentation of peptide and protein identifications. Mol Cell Proteomics (http://www.mcponline.org/misc/ParisReport_Final.dtl) accessed on July 13 2009.

  14. Editorial (2007) Democratizing proteomics data. Nat Biotechnol 25:262

    Google Scholar 

  15. (2008) Instructions to authors. Proteomics (http://www3.interscience.wiley.com/cgi-bin/jabout/76510741/2120_instruc.pdf) accessed on July 13 2009.

  16. (2003) Final NIH statement on sharing research data. (http://grants.nih.gov/grants/guide/notice-files/NOT-OD-03-032.html) accessed on July 13 2009

  17. Howe D, Costanzo M, Fey P, Gojobori T et al (2008) The future of biocuration. Nature 455:47–50

    Article  CAS  PubMed  Google Scholar 

  18. Martin DB, Nelson PS (2001) From genomics to proteomics: techniques and applications in cancer research. Trends Cell Biol 11:61–65

    Google Scholar 

  19. Tyshenko MG (2005) Current trends in publicly available genetic databases. Health Inform J 11:295–308

    Article  Google Scholar 

  20. (2009) About CC0--“No Rights Reserved”. (http://creativecommons.org/about/cc0) accessed on July 13 2009

  21. Prince JT, Carlson MW, Wang R, Lu P, Marcotte EM (2004) The need for a public proteomics repository. Nat Biotechnol 22:471–472

    Article  CAS  PubMed  Google Scholar 

  22. Why tumor samples are so important for research. (http://www.pediatricgist.cancer.gov/Source/Research/ResearchArticles/TumorSampleImpArticle.aspx)

  23. Schweitzer MH, Suo Z, Avci R, Asara JM et al (2007) Analyses of soft tissue from Tyrannosaurus rex suggest the presence of protein. Science 316:277–280

    Article  CAS  PubMed  Google Scholar 

  24. Schweitzer MH, Zheng W, Organ CL, Avci R et al (2009) Biomolecular characterization and protein sequences of the Campanian hadrosaur B. canadensis. Science 324:626–631

    Article  CAS  PubMed  Google Scholar 

  25. Taylor CF, Paton NW, Lilley KS, Binz P et al (2007) The minimum information about a proteomics experiment (MIAPE). Nat Biotechnol 25:887–893

    Article  CAS  PubMed  Google Scholar 

  26. Pedrioli PGA, Eng JK, Hubley R, Vogelzang M et al (2004) A common open representation of mass spectrometry data and its application to proteomics research. Nat Biotechnol 22:1459–1466

    Article  CAS  PubMed  Google Scholar 

  27. Hamacher M, Stephan C, Meyer HE, Eisenacher M (2009) Data handling and processing in proteomics. Expert Rev Proteomics 6, 217–219. (2006) The mzData Standard. (http://www.psidev.info/index.php?q=node/80#mzdata)

    Google Scholar 

  28. Orchard S, Taylor C, Hermjakob H, Zhu W et al (2004) Current status of proteomic standards development. Expert Rev Proteomics 1:179–183

    Article  CAS  PubMed  Google Scholar 

  29. Deutsch E (2008) mzML: a single, unifying data format for mass spectrometer output. Proteomics 8:2776–2777

    Article  CAS  PubMed  Google Scholar 

  30. Bayer R (1971) Binary B-trees for virtual memory. ACM-SIGFIDET Workshop 1971:219–235

    Google Scholar 

  31. Martens L, Deutsch E, Hermjakob H, Omenn G (2009) Proteomics data submission strategy for ProteomeExchange. (http://proteomexchange.org/doc/ProteomExchange_data_submission_strategy_final.pdf)

Download references

Acknowledgments

Special thanks to Jayson Falkner, who led the initial development for both Tranche and ProteomeCommons.org. The authors would also like to thank Peter Ulintz, Jared Falkner, Brian Maso, and Panagiotis Papoulias for their contributions. The ProteomeCommons.org and Tranche Repository community resources are primarily sponsored by NCRR grant #P41-RR018627 and the NCI CPTC subcontract #27XS115. We also thank all the users of Tranche who have provided invaluable feedback and suggestions for the Tranche Project and ProteomeCommons.org.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Bryan E. Smith .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer Science+Business Media, LLC

About this protocol

Cite this protocol

Smith, B.E., Hill, J.A., Gjukich, M.A., Andrews, P.C. (2011). Tranche Distributed Repository and ProteomeCommons.org. In: Hamacher, M., Eisenacher, M., Stephan, C. (eds) Data Mining in Proteomics. Methods in Molecular Biology, vol 696. Humana Press. https://doi.org/10.1007/978-1-60761-987-1_8

Download citation

  • DOI: https://doi.org/10.1007/978-1-60761-987-1_8

  • Published:

  • Publisher Name: Humana Press

  • Print ISBN: 978-1-60761-986-4

  • Online ISBN: 978-1-60761-987-1

  • eBook Packages: Springer Protocols

Publish with us

Policies and ethics