16:00:54 RRSAgent has joined #hcls2 16:00:54 logging to http://www.w3.org/2011/03/31-hcls2-irc 16:01:43 zakim, this is tmo 16:01:43 ok, michel; that matches SW_HCLS(TMO)11:00AM 16:02:26 +??P24 16:02:35 ??P24 is michel 16:02:41 Zakim, ??P24 is michel 16:02:41 +michel; got it 16:03:11 +bbalsa 16:04:19 Bob has joined #hcls2 16:04:21 +mscottm 16:04:22 +Tony 16:04:36 scribenick Bob 16:04:57 +??P11 16:05:28 matthias_samwald has joined #hcls2 16:05:42 Zakim, ??P11 is matthias_samwald 16:05:42 +matthias_samwald; got it 16:06:09 bbalsa has joined #HCLS2 16:06:38 mscottm has joined #hcls2 16:06:57 From my Droid 16:07:15 findow has joined #hcls2 16:09:22 Marc Natter has agreed to give a talk on i2b2 sometime in april - we need to firm this up 16:09:30 epichler has joined #HCLS2 16:10:02 + +1.302.598.aaaa 16:10:22 + +1.781.431.aabb 16:11:20 Scott: LabRx located in Palo Alto, personalized medicine 16:11:52 ... Collabrx! 16:12:11 http://www.collabrx.com/ 16:12:13 http://www.collabrx.com/ 16:12:22 ... tailored therapy, specialized in melanoma 16:12:38 ... will contact CollabRx 16:13:40 Michel: Paper around phamacogenetics and pharmacogenomics 16:14:20 https://docs.google.com/document/d/1lKdDSb2uBBIeTEQAv2CyTHN_aVW63k9si1hmmilOMi0/edit?hl=en&authkey=CJGUtcwF 16:15:33 Michel: Hoping to explore different ways to represent genetic variation and drug resonse phenotypes, etc 16:15:50 mateen has joined #HCLS2 16:15:56 Hi, is there a slide deck folks are looking at? 16:16:18 Check the link to the google doc above! 16:17:16 https://docs.google.com/present/edit?id=0AYy0zfdRviKsZGM5cWM1OXRfMTAwZzlycmJjZmI&hl=en&authkey=CKXAsvMI 16:17:50 Crucial to the success of personalized medicine is the facile integration of a diverse set of information ranging from clinical reports to detailed studies of molecular structure and function. Of particular interest is the capture of knowledge related to the how genetic variation affects the response to drug therapy at both the single gene level (pharmacogen 16:17:58 In this paper, we review existing approaches for the representation of pharmacogenomic knowledge and propose an ontology-based approach using Semantic Web technologies to formally represent and exploit pharmacogenomic knowledge. A key aspect of our work involves the formal representation of pharmacogenomic knowledge which facilitates data integration across 16:18:32 mscottm2 has joined #hcls2 16:19:12 just added Trish, Bosse, Elgar - anyone else? 16:19:33 16:20:36 Michel: Want also to explore ontology, identity, parts-of etc 16:21:14 ... issues of variation, deviation for looking at SNPs and alleles 16:21:33 ... SNPs at 1% of population before recorded 16:22:47 ... dependencies. Biomarker is a role. Participation and agency, for specific drugs 16:23:08 ... side effects from drug treatment. 16:24:00 ... diagnostic tests, gene copy numbers, other tests and test results 16:24:34 ... Patterns to build upon, in a principled way. 16:24:57 ... prescribe an outline or an approach. Do not convert data yet. 16:25:23 ... how we would convert their data, to help us integrate. 16:25:28 ontological theory OntoClean methodology (identity, unity, rigidity) mereotopology (wholes, parts, connectivity) - gene structure variation, deviation and absence - disease, disorders, chromosomal abnormalities, gene variants, haplotypes, snps dependence ( attributes, qualities, functions and roles) - genotypes, phenotypes, Biomarkers participation and agen 16:26:06 Matthias: This is an in-depth treatment of pharmacogenomics 16:26:21 ... should distinguish from what already has been done by others 16:26:43 Michel: Agree. Too many issues here. Should focus-it-up 16:27:08 ... looking at Adrian Coulet in SOPHARM, etc 16:27:45 Matthias: Where do we end up? Create a standard of sorts? 16:28:24 http://nanopub.org/ has an example of ongoing work towars a RDF representation of gene variant assertion from text mining : could evolve into an acceptable design pattern 16:28:45 [my view] Nanopublications are a prescribed form of provenance for assertions. 16:29:52 Matthias: Ontologies are not nec a "best practice" 16:30:50 Scott: Agree that ont are not a best practice, but something that you might use *in* a best practice 16:31:54 Barend Mons 16:32:17 ... Nanopublications meet RDF, concentrated on their own concept-wiki 16:32:57 ... they are trying to represent a text-mined assertion 16:33:10 ... have started discussing all this with them 16:33:38 ... have been addressing that one should have a clear predicate for a nanopublication 16:34:05 ... bridge from concept-web representation to the rest of the world 16:34:33 ... nanopublication is focussed on text assertion 16:35:16 ... different flavor of nanopublication lead to representation for these things 16:35:44 ... We could help bridge nanopublication biomarkers into the RDF world 16:36:42 ... we could talk about nanopublication example as concrete 16:36:57 http://www.alzforum.org/ 16:37:07 ... there are SNPs published on Alzheimer's forum 16:38:08 Michel: When I look at nanopub examples, when you have a good ont, show how to re-write it 16:38:46 Scott: How to best make a well-formed expression for which this variant comes from Sardinia? 16:39:31 Michel: In the scope of allelic frequencies, expand to pharmacogenetics? 16:39:49 ... nanopub examples are w/in the scope of the paper we would like to write 16:40:04 ... use case that goes slightly beyond that 16:40:19 ... deal w a pharmacogenomic case 16:40:54 Matthias: Nanopubs do not quite say much. Prefer to focus on sopharm for example 16:41:26 ... look at schema, to get slim but still useful ontology 16:42:00 Scott: Nanopub could work as a starting point, to see how that would represent 16:42:17 ... nanopub doing their best to reach out to semweb 16:43:22 ... may be easy. Use gene variant description, then relate it to pharmacogen-ics 16:43:51 ... looking at it: That should be straightforward. 16:44:09 Matthias: sopharm is a way to represent 16:44:39 Scott: Geoname is the type of thing that you need when talking re gene freq 16:45:12 Michel: Going to have to spec freq of alleles, as well as drug-gene-outcome 16:45:57 ... look at clincial trial, get to patient's odds 16:46:25 Scott: Biomarkers, fully, could be a morass 16:46:50 ... expression profile already has associated freq or prob, abstract to express 16:47:20 ... might be advanced, differentially expressed genes in phenotype 16:47:47 ... combining stat analysis into a profile. Representing a vector in OWL :-) 16:47:59 Michel: Can represent anything in OWL. 16:48:14 Scott: Would it be the same way that someone else would represent? 16:49:20 Michel: Hope that paper can show how to represent. 16:50:11 Elgar: Would prefer to come from a dataset, going thru the pain then make recommendations 16:50:37 ... start w the questions that you want to ask, and the data. Then figure the schema 16:51:09 (Elgar prefers bottom-up to top-down) 16:52:25 Michel: Is this a case-by-case basis, rather than something more generic and how it's organized 16:52:54 ... sometimes surface representation is not really how you would want to do it formally 16:53:25 ... they use artifactual relations, rather than principled 16:54:18 ... things can be associated, but the nature of the assoc is not clear, so meaningless more formally 16:55:13 ... There can be a sweet-spot, esp. w. coding systems 16:55:35 ... we know that things can be more expressive. We can root this. 16:55:53 ... we can guarantee that you're going to be able to represent. 16:56:26 Michel: Want to agree, but concerned about the time frame, early May 16:56:35 ... J. Pharmacogenetics 16:57:01 ... wanted a review paper, but we can do original work 16:59:22 -Tony 17:00:23 my paper: http://dumontierlab.com/pdf/2008_BIB_pharmacogenomics.pdf 17:00:44 Elgar and Scott would like to have a dataset associated w. paper 17:03:49 Michel's teaching is done. Will do awesome work now. Specify the use cases that you want. 17:04:34 Matthias: Also create ontology, maybe use a wiki to work on 17:05:31 Michel: Maybe add to the TMO; key problem is how to put it all together. 17:05:52 - +1.302.598.aaaa 17:05:53 -Bob_Powers 17:05:53 - +1.781.431.aabb 17:05:54 -bbalsa 17:05:55 -mscottm 17:05:56 -michel 17:05:58 -matthias_samwald 17:05:59 SW_HCLS(TMO)11:00AM has ended 17:06:00 Attendees were Bob_Powers, michel, bbalsa, mscottm, Tony, matthias_samwald, +1.302.598.aaaa, +1.781.431.aabb 17:06:00 rrsagent, draft minutes 17:06:00 I have made the request to generate http://www.w3.org/2011/03/31-hcls2-minutes.html michel 17:06:04 epichler has left #HCLS2 17:06:07 rrsagent, make log world-visible 17:23:27 mscottm has joined #hcls2 18:09:13 Zakim has left #hcls2 20:17:04 matthias_samwald has joined #hcls2 20:17:11 matthias_samwald has left #hcls2