We review technical and sociological issues facing the Life Sciences as they transform into more data-centric disciplines - the "Big New Biology". Three major challenges are: 1) lack of comprehensive standards; 2) lack of incentives for individual scientists to share data; 3) lack of appropriate...
This book constitutes the refereed proceedings of the Third International Workshop on Data Integration in the Life Sciences, DILS 2006, held in Hinxton, UK in July 2006. The 19 revised full papers and 4 revised short papers presented together with 2 keynote talks were carefully reviewed and se...
2 keynote talks were carefully reviewed and selected from 50 initial submissions. All current issues in data integration from the life science point of view are adressed. The papers are organized in topical sections on data integration, text mining, systems, potpourri, short papers, and workflow...
This book constitutes the refereed proceedings of the Second International Workshop on Data Integration in the Life Sciences, DILS 2005, held in San Diego, CA, USA in July 2005. The 20 revised full papers presentedtogether with 8 revised posters and demonstration papers, 2 keynote articles and...
This article is a summary of the life sciences issues and challenges as discussed in the DIS workshop in Seattle, September 19-20, 2010. Mary Ann Liebert, Inc.关键词: Biology Biological Science Disciplines DOI: 10.1089/omi.2011.0006 被引量: 61 ...
As a result, flu shots from CDC fail half the time4. Thus, timely surveillance of the antigenic evolution of these viruses is critical. However, traditional experimental methods such as HI assay for evaluating the antigenicity of new viruses face a multitude of issues. For example, the ...
This paper analyzes the ethics of social science research (SSR) employing big data. We begin by highlighting the research gap found on the intersection bet
Ensuring compliance with defined data governance strategies across all areas of your organization can be a complex challenge to navigate, even more so when you have limited headcount or resources to swiftly resolve data issues. Critical decisions are made based on your data. Clean data supports more...
Isolating the cracks from the secondary grains can be difficult. The cracks are small features with a similar intensity range to other features in these images like pores, pore back, and edges. Currently, Avizo Software can address these issues by training a deep learning ...
While the biomedical community has published several “open data” sources in the last decade, most researchers still endure severe logistical and technical challenges to discover, query, and integrate heterogeneous data and knowledge from multiple sourc