Data Integration in the Life Sciences : Third International Workshop, DILS 2006, Hinxton, UK, July 20-22, 2006, Proceedings / edited by Ulf Leser, Felix Naumann, Barbara Eckman.

Format:

Book

Contributor:

Leser, Ulf, editor.

Naumann, Felix, editor.

Eckman, Barbara, editor.

SpringerLink (Online service)

Series:

Computer Science (Springer-11645)

Lecture notes in computer science. Lecture notes in bioinformatics ; 4075.

Lecture Notes in Bioinformatics ; 4075

Language:

English

Subjects (All):

Information storage and retrieval.

Medical informatics.

Database management.

Application software.

Bioinformatics.

Computational biology.

Information Storage and Retrieval.

Health Informatics.

Database Management.

Information Systems Applications (incl. Internet).

Computer Appl. in Life Sciences.

Local Subjects:

Information Storage and Retrieval.

Health Informatics.

Database Management.

Information Systems Applications (incl. Internet).

Bioinformatics.

Computer Appl. in Life Sciences.

Physical Description:

1 online resource (XI, 298 pages).

Edition:

First edition 2006.

Contained In:

Springer eBooks

Place of Publication:

Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2006.

System Details:

text file PDF

Summary:

Data management and data integration are fundamental problems in the life sciences. Advances in molecular biology and molecular medicine are almost u- versallyunderpinned by enormouse?orts in data management,data integration, automatic data quality assurance, and computational data analysis. Many hot topics in the life sciences, such as systems biology, personalized medicine, and pharmacogenomics, critically depend on integrating data sets and applications producedby di?erent experimentalmethods, in di?erent researchgroups,andat di?erent levels of granularity. Despite more than a decade of intensive research in these areas, there remain many unsolved problems. In some respects, these problems are becoming more severe, both due to continuous increases in data volumes and the growing diversity in types of data that need to be managed. And the next big challenge is already upon us: the need to integrate the di?- ent "omics" data sets with the vast amounts of clinical data, collected daily in thousands of hospitals and physicians' o?ces all over the world. DILS 2006 is the third in an annual 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 science. DILS 2004 in Leipzig and DILS 2005 in San Diego each attracted around 100 researchersfrom all over the world. This year the number of submitted papers again increased. The Program Committee selected 23 papers out of 50 strong full submissions.

Contents:

Keynotes

An Application Driven Perspective on Biological Data Integration

Towards a National Healthcare Information Infrastructure

Data Integration

Data Access and Integration in the ISPIDER Proteomics Grid

A Cell-Cycle Knowledge Integration Framework

Link Discovery in Graphs Derived from Biological Databases

Text Mining

Towards an Automated Analysis of Biomedical Abstracts

Improving Text Mining with Controlled Natural Language: A Case Study for Protein Interactions

SNP-Converter: An Ontology-Based Solution to Reconcile Heterogeneous SNP Descriptions for Pharmacogenomic Studies

Systems I

SABIO-RK: Integration and Curation of Reaction Kinetics Data

SIBIOS Ontology: A Robust Package for the Integration and Pipelining of Bioinformatics Services

Data Structures for Genome Annotation, Alternative Splicing, and Validation

BioFuice: Mapping-Based Data Integration in Bioinformatics

Potpourri

A Method for Similarity-Based Grouping of Biological Data

On Querying OBO Ontologies Using a DAG Pattern Query Language

Using Term Lists and Inverted Files to Improve Search Speed for Metabolic Pathway Databases

Systems II

Arevir: A Secure Platform for Designing Personalized Antiretroviral Therapies Against HIV

The Distributed Annotation System for Integration of Biological Data

An Information Management System for Collaboration Within Distributed Working Environment

Short Papers

Ontology Analysis on Complexity and Evolution Based on Conceptual Model

Distributed Execution of Workflows in the INB

Knowledge Networks of Biological and Medical Data: An Exhaustive and Flexible Solution to Model Life Science Domains

On Characterising and Identifying Mismatches in Scientific Workflows

Workflow

Collection-Oriented Scientific Workflows for Integrating and Analyzing Biological Data

Towards a Model of Provenance and User Views in Scientific Workflows

An Extensible Light-Weight XML-Based Monitoring System for Sequence Databases.

Other Format:

Printed edition:

ISBN:

978-3-540-36595-2

9783540365952

Access Restriction:

Restricted for use by site license.