- From: Marco Brandizi <brandizi@ebi.ac.uk>
- Date: Fri, 17 Aug 2007 23:54:14 +0100
- To: Alan Ruttenberg <alanruttenberg@gmail.com>
- CC: W3C HCLSIG hcls <public-semweb-lifesci@w3.org>, Helen Parkinson <parkinson@ebi.ac.uk>
Hi all, sorry for late reply. I've been a bit busy. thank you for the interesting replies. The Nigam tutorial, it is a really good introduction to the world of BioOntologies. In addition to that topics, I'd like to understand some further details about the demo, and about how to put hands in it. For instance: - How to expose RDF data to the demo? Via Joseki? - Does the demo consist of code that have to be downloaded, changed and run on my own server? Do I have to proceed like that if I want to extend it with my own RDF data? I guess some of the above questions may be answered by screening better the Wiki and the mailing list. Help welcome anyway! Alan Ruttenberg wrote: > > 1) Representing the information about the samples, experiment, protocols > leading to the hybridization, technical aspects of the hybridization, etc. > 2) Representing what the computed intensity of the spots on an array, as > well as how those were computed (e.g. MAS5, rma, d-chip, etc) > 3) Representing which genes are thought to be relatively highly > expressed by interpreting the intensity of the spots as amount of > expression of certain genes. > I am thinking to something quite simple: AE is able to show the experiments and conditions under which a gene is expressed [1], obviously according to stored microarray data. So it would be nice to jump from genes to the conditions under which they're expressed, and optionally show the expression levels. Also I wonder how much complex would be attempting to expose only this simple information. Certainly they're not enough, cause you would like to add what supports the results, so things mentioned in 1) and 2). But as a starting point... I personally have worked in something similar in the past [2]. But probably my work should be revised, and is not as simple as what I am thinking of here. Thanks a lot for replying. [1]http://www.ebi.ac.uk/microarray-as/aew/DW?queryFor=gene&gene_query=nfkbia&species=&exp_query=leukemia [2]http://gca.btbs.unimib.it/brandizi/mysite/phdv3 -- =============================================================================== Marco Brandizi <brandizi@ebi.ac.uk> NET Project - Software Engineer http://www.ebi.ac.uk/net-project European Bioinformatics Institute Hinxton, CB10 1SD, United Kingdom Tel.: +44 (0)1223 49 2613 Fax: +44 (0)1223 49 4468 http://www.ebi.ac.uk/~brandizi
Received on Friday, 17 August 2007 22:54:31 UTC