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Data integration in the life sciences : third international workshop, DILS 2006, Hinxton, UK, July 20-22, 2006 : proceedings
Authors: --- --- ---
ISBN: 9783540365938 3540365931 3540365958 Year: 2006 Publisher: Berlin : Springer,

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Abstract

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.

Keywords

Bioinformatics --- Statistical matching --- Computational biology --- Bio-informatique --- Appariement (Statistique) --- Congresses. --- Congrès --- Congresses --- Data integration (Computer science) --- Computational Biology --- Information Systems --- Systems Theory --- Science --- Biology --- Medical Informatics Applications --- Natural Science Disciplines --- Medical Informatics --- Biological Science Disciplines --- Disciplines and Occupations --- Information Science --- Biology - General --- Computer Science --- Engineering & Applied Sciences --- Health & Biological Sciences --- Concatenation, File (Statistics) --- Data fusion (Statistics) --- Data matching (Statistics) --- Data merging (Statistics) --- File concatenation (Statistics) --- Fusion, Data (Statistics) --- Imputation, Mass (Statistics) --- Mass imputation (Statistics) --- Matching, Data (Statistics) --- Matching, Statistical --- Merging, Data (Statistics) --- Microsimulation modeling (Statistics) --- Modeling, Microsimulation (Statistics) --- Computer science. --- Health informatics. --- Database management. --- Information storage and retrieval. --- Bioinformatics. --- Computational biology. --- Computer Science. --- Information Storage and Retrieval. --- Health Informatics. --- Database Management. --- Information Systems Applications (incl. Internet). --- Computer Appl. in Life Sciences. --- Bio-informatics --- Biological informatics --- Information science --- Systems biology --- Data base management --- Data services (Database management) --- Database management services --- DBMS (Computer science) --- Generalized data management systems --- Services, Database management --- Systems, Database management --- Systems, Generalized database management --- Electronic data processing --- Clinical informatics --- Health informatics --- Medical information science --- Medicine --- Informatics --- Data processing --- Sampling (Statistics) --- Database management --- Information storage and retrieva. --- Medical records --- Data processing. --- EHR systems --- EHR technology --- EHRs (Electronic health records) --- Electronic health records --- Electronic medical records --- EMR systems --- EMRs (Electronic medical records) --- Information storage and retrieval systems --- Medical care --- Information storage and retrieval systems. --- Automatic data storage --- Automatic information retrieval --- Automation in documentation --- Computer-based information systems --- Data processing systems --- Data storage and retrieval systems --- Discovery systems, Information --- Information discovery systems --- Information processing systems --- Information retrieval systems --- Machine data storage and retrieval --- Mechanized information storage and retrieval systems --- Computer systems --- Electronic information resources --- Data libraries --- Digital libraries --- Information organization --- Information retrieval --- Application software. --- Bioinformatics . --- Computational biology . --- Application computer programs --- Application computer software --- Applications software --- Apps (Computer software) --- Computer software


Book
Data integration in the life sciences : third international workshop, DILS 2006, Hinxton, UK, July 20-22, 2006 : proceedings
Authors: --- --- ---
ISBN: 9783540365952 3540365958 Year: 2006 Publisher: Berlin : Springer,

Loading...
Export citation

Choose an application

Bookmark

Abstract

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.

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