The development and increasingly widespread deployment of high throughput experimental methods in the life sciences is giving rise to numerous large, complex and valuable data resources. This foundation of experimental data underpins the systematic study of organisms and diseases, which increasingly depend on the development of models of biological systems. The development of these models often requires integration of diverse experimental data resources; once constructed, the models themselves become data and present new integration challenges for tasks such as interpretation, validation and comparison.
Topics of Interest

DILS provides a forum for the discussion of emerging challenges for data integration in the life sciences, and the techniques that seek 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
* Biological Metadata management
* Annotation in scientific data integration
* Provenance modeling and management for the life sciences
* Scientific Workflows and analysis pipelines
* Laboratory information management systems in biology
* Biological data quality and data cleaning
* Life sciences ontologies
* Semantic web for the life sciences
* Mining integrated life sciences data
* Text mining in the life science literature
* Machine learning in data integration in the life sciences
* Grid Computing and Grid technologies for the life sciences
* System prototypes for biology
* Commercial solutions in the life sciences
* Integration challenges presented by new kinds of biological data
* Scientific results arising from innovative data integration solutions

Submission Guidelines

Authors are invited to submit original contributions of practical relevance and technical rigor, experience reports and demonstrations of relevance to data integration in the life sciences. DILS 2010 invites two types of papers:

1. Research papers (up to 16 pages).
2. System/Demonstration papers (up to 8 pages).

Papers describing commercial solutions are welcome as long as sufficient detail of the problem and its technical solution are provided.

Please find detailed instructions for preparing the camera-ready copy of your paper in Springer's LNCS Author and Volume Editor Instructions.



The proceedings of DILS will be published by Springer in Lecture Notes in Bioinformatics.



Please submit your paper using the DILS 2010 EasyChair site:
http://www.easychair.org/conferences/?conf=dils2010



Abstract submission deadline: 11 April 2010

Full paper deadline: 18 April 2010

Author Notification: 17 May 2010

Camera Ready Copy Due: 7 June 2010