GLOBALBIORES · Global information systems for biomedical research
6РП — Действия „Мария Кюри“
- Период
- 2006-06-01 → 2008-05-31
- Финансиране от ЕС
- 244 302 €
- Участници
- 1
- Схема
- EIF
Линиите свързват координатора с партньорите.
Накратко на български
Информационните системи в биомедицината автоматизират събирането на данни и създават визуализации, като например софтуера VisGenome за генетични данни. Това помага на изследователите по-лесно да откриват гени, свързани с болести, и подходящи мишени за нови лекарства.
Кратко обяснение, генерирано от езиков модел по текста на CORDIS. Оригиналът е по-долу.
Резултати накратко
Final Activity Report Summary - GLOBALBIORES (Global information systems for biomedical research)
Dr Ela Hunt's fellowship project, GLOBALBIORES, aimed to enable automated data integration from web databases and develop visualisations supporting the understanding of complex biomedical data sets. Both aims have been achieved. The work on visualisation had immediate impact in the biomedical community. A new data visualisation solution for genetics data is called VisGenome. It supports the visualisation of data used in the search for disease genes and drug targets. VisGenome has been tested in two user studies in the context of cardiovascular disease research at the University of Glasgow and is supported by a novel data scaling algorithm called CartoonPlus. Source code and a web application are publicly available and an application note on the package was published. The package is in use at Glasgow. Data integration work had led to the development of the following solutions. 1. Integration of data from web services for e-Commerce 2. Data integration algorithms for large data sets, PORSCHE, including a benchmark allowing for the comparison of various methods XBenchMatch 3. New approaches to data integration where each user defines individually the best ways of selecting the data they require 4. Practical solution for map mashups with genome maps, BioXMash, and extension with semantics Beside the planned aims and objectives, additional scientific results were produced via collaborations with the University of Zurich (Prof. Burkhard Stiller and PhD student Thomas Bocek, and Prof. Klaus Dittrich and Dr Patrick Ziegler) and the University of Glasgow (Prof. Rod Page and PhD student Nadia Anwar). Those developments supported the main objectives. One collaboration resulted in the development of FastSS which performs approximate search in strings and is now being tuned to be used with biological sequences in data integration. Such techniques are required in Wikipedia, see demo at http://fastss.csg.uzh.ch. Another collaboration produced web interfaces and new query techniques for biological data sets (phylogenetic trees), see http://spira.zoology.gla.ac.uk/.
Текст от CORDIS, на английски · Данни: CORDIS, © Европейски съюз
Цел на проекта
Global systems for biomedical research, GlobalBioRes, is a multidisciplinary project in computing science and bioinformatics. It will enable automated data integration from web databases and develop new visualizations supporting the understanding of complex biomedical data sets.Researchers using post-genomic technologies perform large-scale experiments, which can only be interpreted in the light of data harvested from many web databases. Although data harvesting can be automated, automated removal of duplicate values and data merging are not supported, and are not possible with current database technologies.There are also no adequate visualization tools to offer the combined analysis of textual data sets and the physical framework of genomes and chromosomes. The project will develop and test data mining algorithms on around 15 biological databases available in XML.As the schemas are dissimilar, data mining will apply to data values indexed in a relational database identify mappings between dissimilar XML subtrees, based on data mining results Record those mappings as tree subsumptions, and index them Develop and test algorithms which use subsumptions to remove duplicated data values and merge the data trees visualize integrated data in the context of genome and synteny maps.Iteratively test both data integration and visualization approaches, in order to develop new insights on what mechanisms are effective in data integration and visualization. The proposed system will be tested by our biomedical collaborators in disease gene finding, drug target discovery, and drug delivery research. It is hoped to bring immediate efficiency and quality gains.In the long term this work will contribute to new technologies for e-Science, e-Business and e-Government, and feed into database technologies. The project will allow the applicant to move abroad to complete her postdoctoral training in collaboration with a recognised research leader.
Оригинален текст от CORDIS (на английски).
Участници
- EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZUERICH · ZUERICHКоординаторШвейцария
Връзки
Данни: CORDIS, © Европейски съюз