6th International Workshop on Data Integration in the Life Sciences
20th-22nd July 2009
http://www.cs.manchester.ac.uk/DILS09

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.

DILS 2009 is the sixth in a workshop series that aims at fostering discussion,
exchange, and innovation in research and development in the areas of data
integration and data management for the life sciences. DILS 2004 in Leipzig,
DILS 2005 in San Diego, DILS 2006 in Hinxton, DILS 2007 in Philadelphia, and
DILS 2008 in Evry each attracted around 100 researchers from all over the
world.

Topics of Interest

The DILS workshop provides a forum for the discussion of emerging challanges
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

Submission Guidelines

Authors are invited to submit original contributions of practical relevance
and technical rigor, experience reports and demonstrations of relevance to
data integation in the life sciences. DILS 2009 invites two types of papers:

* Research papers (up to 16 pages).
* 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.

Submission Deadlines

* Abstracts: February 13th, 2009
* Full papers: February 20th, 2009, 9:00 PM GMT