Print

Print


[Apologies for any cross-posting]
PLEASE REPLY TO [log in to unmask]

The Royal Statistical Society's International Conference in 2003 on Statistical Genetics and Bioinformatics will be hosted by the Center for Statistics at the Limburgs Universitair Centrum in Belgium from 14 to 17 July.

The conference website is available at http://www.luc.ac.be/censtat/RSS2003.

The conference will be preceded by a short course on Association-based methods of gene mapping.  

The plenary speakers at the conference have been confirmed as:
Professor David Clayton (Cambridge Institute of Medical Research)
Professor Richard Durbin (The Wellcome Trust Sanger Institute) 
Professor Simon Tavare (University of Southern California)  

Contributed papers and posters are sought on any of the following topics or any other related statistical topic:

Statistical genetics:
  
- Mapping genes for complex traits: SNPs, haplotype analyses 
- Gene-gene and gene-environment interactions 
- Genetic epidemiology 
- Population genetics 

Bioinformatics: 

- HMMs for sequence analysis 
- Stochastic grammars 
- Genome annotation 
- Comparative genomics 
- Protein and RNA sequence and structure 
- Gene networks/metabolic pathways 

Gene expression: 

- CDNA, short and long-oligo microarrays 
- SAGE 
- RT-PCR 

Other:
- Graphs and graphical methods in genetics and bioinformatics 


The deadline for the submission of abstracts is 31 January 2003.  Abstracts may be submitted by email to [log in to unmask] or by mail - for full details about submissions see http://www.luc.ac.be/censtat/rss2003/submissionofpapers.htm.  Contributors should note that there are a limited number of contributed paper slots available.  There will however be an opportunity for authors to give a short presentation on their posters.


Information about registering for the conference can be obtained from the local conference office (email: [log in to unmask]) or from the conference website  http://www.luc.ac.be/censtat/RSS2003.


Paul Gentry
Administrative Officer (Conferences)
Royal Statistical Society
Direct line: 020 7614 3918
Fax: 020 7614 3905