PROTEINCHALLENGE: crowd sourcing in proteomics analysis and software development.
نویسندگان
چکیده
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 proteomics analysis 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 call for 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.
منابع مشابه
The Wisdom of Crowds in Government 2.0: Information Paradigm Evolution toward Wiki-Government
This essay, exploring the peer-to-peer collaborative atmosphere penetrating Wikivism, crowd-sourcing and open-source movement, identifies a new paradigm of public information as evolution toward Wiki-government. Citizen participants can collectively create public information via various platforms enabled by Web 2.0 technologies. Under the new participatory paradigm that a large number of indivi...
متن کاملCrowd-sourcing Thermal (dis)Comfort
This paper details our work towards designing a system for crowd-sourcing responses on thermal comfort in naturally ventilated office buildings. We provide preliminary qualitative findings on the deployment of this system. Specifically, we explore the different human factors that led to our system being used as something akin to a digital complaints box and how we intend to adapt and leverage t...
متن کاملCan the Crowd be Controlled?: A Case Study on Crowd Sourcing and Automatic Validation of Completed Tasks based on User Modeling
Annotation is an essential step in the development cycle of many Natural Language Processing (NLP) systems. Lately, crowdsourcing has been employed to facilitate large scale annotation at a reduced cost. Unfortunately, verifying the quality of the submitted annotations is a daunting task. Existing approaches address this problem either through sampling or redundancy. However, these approaches d...
متن کاملDecision-Theoretic Control of Crowd-Sourced Workflows
Crowd-sourcing is a recent framework in which human intelligence tasks are outsourced to a crowd of unknown people (”workers”) as an open call (e.g., on Amazon’s Mechanical Turk). Crowd-sourcing has become immensely popular with hoards of employers (”requesters”), who use it to solve a wide variety of jobs, such as dictation transcription, content screening, etc. In order to achieve quality res...
متن کاملDesign Uncertainty in Crowd-Sourcing Systems
Crowd-sourcing social computing systems represent a new material for HCI designers. Crowd sourcing has been successfully applied to many areas, but these systems are difficult to reliably design and prototype. One source of uncertainty during design is the behavior of the crowd at different levels of scale. A second source of uncertainty during design is the crowd’s response to differing incent...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
- Journal of proteomics
دوره 88 شماره
صفحات -
تاریخ انتشار 2013