일시

2014. 7. 17 ~ 2014. 7. 30

  내용

APBC 2015 (The Asia-Pacific Bioinformatics Conference 2015)

The Thirteenth Asia Pacific Bioinformatics Conference
HsinChu, Taiwan
21-23 January 2015
http://apbc2015.mbc.nctu.edu.tw/

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Important Dates
Full Paper submission: July 30 ,2014
Author notification: August 30 , 2014
Final version due on: October 1 , 2014
Full paper author registration deadline: October 31 ,2014
Conference start and end dates: January 21 - 23 , 2015
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The Thirteenth Asia-Pacific Bioinformatics Conference will be held in HsinChu, Taiwan. The aim of this conference is to bring together researchers, academics, and industrial practitioners. APBC2015 invites high quality original full papers on any topic related to Bioinformatics and Computational Biology. The submitted papers must have not been published or under the consideration for publication in any other journal or conference with formal proceedings. All accepted papers will have to be presented by one of the authors at the conference. Accepted paper will be invited to be published in IEEE/ACM TCCB, BMC Bioinformatics / Genomics / Systems Biology following the journals' publication policies.

  일시

2014. 7. 17 ~ 2014. 7. 18

  내용

DILS 2014 (Data Integration in the Life Sciences 2014)

Date: July 17-18, 2014
Venue: Instituto Superior Tecnico, Lisbon, Portugal

Homepage: http://dils2014.inesc-id.pt

*Important dates
Abstract submission deadline : February 7, 2014
Paper submission deadline : February 14, 2014


The Tenth International Conference on Data Integration in the Life Sciences 2014 (DILS2014) will be held at Instituto Superior Tecnico(IST), Lisbon, Portugal, on July 17-18, 2014. The conference aim is to foster discussion, exchange, and innovation in research and development in the areas of data integration and data management for the life sciences. Researchers and professionals from biology, medicine, computer science and engineering are invited to share their knowledge and experience

Topics of interest include, but are not limited to:
• Architectures and data management techniques for the life sciences
• Query processing and optimization for biological data
• Biological data sharing and update propagation
• Query formulation assistance for scientists
• Modeling of life sciences data
• Biomedical data integration issues in eScience
• Laboratory information management systems in biology (including workflow systems)
• Quality assurance in integrated biological data repositories
• Biomedical metadata management (including provenance)
• Mining integrated life sciences data and text resources
• Standards for biomedical data integration and annotation
• Scientific results arising from innovative data integration solutions
• Exposing biomedical data for integration (APIs, Linked Open Data, SPARQL endpoints)
• Creation and use of clinical data repositories
• Data integration in clinical and translational research
• Integration of genotypic and phenotypic data
• Challenges and opportunities with big data in the life sciences

Ethical, legal and social issues with biomedical data integration