Workshops
2001
Proteomics:
focus on protein interaction
Workshop
organisers:
Gianni Cesareni, Department of Biology, University of Rome,
Tor Vergata
Manuela Helmer Citterich, Department of Biology, University
of Rome, Tor Vergata
Benedetta Mattei, Department of Plant Biology, University
of Rome, La Sapienza
A
workshop addressing the problems of collecting experimental
data generated by high throughput methods and the organisation
of this information in a user-friendly database. The subjects
covered will include genetic methods of identifying protein
partners, protein and peptide arrays, mass spectrometry and
computational biology.
>> more
information and registration
Date
and Venue: May 11-13th, 2001; Rome, Italy
Data
integration in functional genomics and proteomics
Workshop
organisers:
Pierre-Alain Binz, Swiss Institute of Bioinformatics, Geneva,
Swtizerland
Antoine de Daruvar, Lion Bioscience, Bordeaux, France
Peter Rice, Lion Bioscience, Cambridge, UK
The
integration of heterogeneous data and information is a key issue
in the field of functional genomics where an ever increasing
flow of results is produced by a large variety of technologies.
This workshop will bring together scientists (biologists, bioinformaticians)
who participate in projects that involve or require integration
of heterogeneous biological data. We will discuss 'data integration
requirements' in the framework of general functional genomics
approaches, with a particular focus on proteomics related questions.
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information and registration
Date
and Venue: October 15-17th, 2001; Geneva, Switzerland
Workshop
on Information Extraction in Molecular Biology
Workshop
organisers:
Paul van der Vet, University of Twente, The Netherlands
Alfonso Valencia, CNB-CSIC, Madrid, Spain
Anton Nijholt, University of Twente, The Netherlands
Gert-Jan van Ommen, Leyden, The Netherlands
This
workshop proposes to address the question of information extraction
at two levels: 1) At the object level, some would advocate shallow
(mostly statistical) techniques, e.g. as used in text mining,
while others would advocate deeper but more expensive techniques.
There is a trade-off involved about which we want to learn more.
2) At the meta-level, the definition of the task, or, more precisely,
the range of tasks, must be better defined. There are diverse
models one can derive from work in computer science, and natural-language
engineering in particular: text mining, indexing for purposes
of information retrieval, DARPA's Message Understanding Project,
and more.
>> more
information and registration
>>
>> More
information about the workshop (instructions for authors, how
to reach our university etc) can be found here.
Date
and Venue: November 11-14th, 2001; Congress Center, Drienerburght,
The Netherlands
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