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1. DILS 2013  

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2013. 7. 11 ~ 2013. 12. 12

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DILS 2013
9th International Conference on Data Integration in the Life Sciences

Date: July 11- 12, 2013
Venue: Montreal, Qc, Canada

Home page: http://www.unbsj.ca/sase/csas/data/ws/dils2013/cfp.html#

Important dates

1 February 2013:
Long and short research paper submission deadline

1 April 2013:
Notification of long and short paper acceptance

15 April 2013:
System and early career paper submission deadline

15 May 2013:
Notification of system and early career paper acceptance

20 May 2013:
Submission of late breaking reports and highlight-track papers

1 June 2013:
Notification of acceptance of late breaking reports and highlight-track papers

15 June 2013:
Deadline for all camera-ready copies for the proceedings

Topics of Interest

DILS provides a forum for the discussion of various aspects of data integration andmanagement in the life sciences, including challenges and technical solutions to address them.
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 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)
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

2. Luonan Chen ¹Ú»ç´Ô °­ÀÇ  

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2013. 8. 8

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15:00½Ã, Àå¼Ò ÃßÈÄ °øÁö

Title: Dynamical network biomarkers for early diagnosis of complex diseases

Abstract : There are abrupt state changes during many biological processes and disease progression of complex diseases, e.g., cell differentiation process, proliferation process, or even disease deterioration process. Such dynamics generally signal the emergence of critical transition phenomena, which result in drastic changes in system states or eventually qualitative changes in phenotypes. Hence, it is of great importance to detect such transitions and further reveal their molecular mechanism. We developed a new model-free method, i.e., dynamical network biomarkers (DNBs), which can identify not only early-warning signals of the critical transitions for complex diseases but also their leading networks, which drive the whole system to initiate such transitions. Examples for cancers are provided to detect pre-disease stages for which traditional methods failed, for demonstrating the effectiveness of this novel approach.

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2013. 8. 8

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