PROTEINCHALLENGE: Crowd sourcing in proteomics analysis and software development
| Autor: | Sarah F. Martin, Thomas F. Dyrlund, Rune Linding, Heiner Falkenberg, Craig J. Mageean, Guennadi A. Khoudoli |
|---|---|
| Rok vydání: | 2013 |
| Předmět: |
Proteomics
Benchmarking Group method of data handling Computer science Big data Data analysis Biophysics Biochemistry World Wide Web 03 medical and health sciences Software Software Design Open-source software development Justice (ethics) 030304 developmental biology 0303 health sciences business.industry 030302 biochemistry & molecular biology Software development Computational Biology Open source Data science Workflow Crowd sourcing Community challenge business |
| Zdroj: | Martin, S F, Falkenberg, H, Dyrlund, T F, Khoudoli, G A, Mageean, C J & Linding, R 2013, ' PROTEINCHALLENGE : Crowd sourcing in proteomics analysis and software development ', Journal of Proteomics, vol. 88, pp. 41-46 . https://doi.org/10.1016/j.jprot.2012.11.014 Martin, S F, Falkenberg, H, Dyrlund, T F, Khoudoli, G A, Mageean, C J & Linding, R 2013, ' PROTEINCHALLENGE: Crowd sourcing in proteomics analysis and software development ', Journal of Proteomics, vol. 88, pp. 41-46 . https://doi.org/10.1016/j.jprot.2012.11.014 Martin, S F, Falkenberg, H, Dyrlund, T F, Khoudoli, G A, Mageean, C J & Linding, R 2013, ' PROTEINCHALLENGE: Crowd sourcing in proteomics analysis and software development ', Journal of proteomics, vol. 88, pp. 41-46 . https://doi.org/10.1016/j.jprot.2012.11.014 |
| ISSN: | 1874-3919 |
| DOI: | 10.1016/j.jprot.2012.11.014 |
| Popis: | In large-scale proteomics studies there is a temptation, after months of experimental work, to plug resulting data into a convenient—if poorly implemented—set of tools, which may neither do the data justice nor help answer the scientific question. In this paper we have captured key concerns, including arguments for community-wide open source software development and “big data” compatible solutions for the future. For the meantime, we have laid out ten top tips for data processing. With these at hand, a first large-scale proteomicsanalysis hopefully becomes less daunting to navigate. However there is clearly a real need for robust tools, standard operating procedures and general acceptance of best practises. Thus we submit to the proteomics community a callfor a community-wide open set of proteomics analysis challenges PROTEINCHALLENGE— that directly target and compare data analysis workflows, with the aim of setting a community-driven gold standard for data handling, reporting and sharing.This article is part of a Special Issue entitled: New Horizons and Applications for Proteomics [EuPA 2012]. |
| Databáze: | OpenAIRE |
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