- From: William Bug <William.Bug@DrexelMed.edu>
- Date: Fri, 2 Mar 2007 15:58:28 -0500
- To: Alan Ruttenberg <alanruttenberg@gmail.com>
- Cc: Chris Mungall <cjm@fruitfly.org>, <donald.doherty@brainstage.com>, <public-semweb-lifesci@w3.org>
- Message-Id: <A2E5E95E-1D8C-4789-9F4F-64E57BD6CE7B@DrexelMed.edu>
The CRITICAL issue here given the current BioRDF data sources is: can you align what you are doing with GENSAT cell types with: - BrainPharm/SenseLab - CCDB (which I'll help you to specify this weekend - as I've been doing with ABA & GENSAT) CL ontology and MeSH for that matter covers many of these cell types (MeSH at a coarse level) though their underlying graph doesn't necessarily match to that of GENSAT, BrainPharm, or Cell-Centered Dtb, because of differing application requirements. Of the other data sets listed on the BioRDF data page: http://esw.w3.org/topic/HCLSIG_BioRDF_Subgroup/Data those likely to include important cell level info are: - GO (will have pre-composed references to many neuronal cell types) - BioCyc (will have pre-composed references to many neuronal cell types) - Reactome (will have pre-composed references to many neuronal cell types) - KEGG (depending on the subset that has been converted) - OMIM (depending on the subset that has been converted) - PubMed (PubMed XML instances are filled with MeSH terms - many "coarse" neuronal types will be there - THOUGH - whether a term-based matching will create TRUE assertions in your triplets is anyone's guess - really would need to be manually reviewed - as would most neuronal cell type bridging we do de novo for this demo) - BioZen (http://neuroscientific.net/bio-zen.owl) Is this page still accurate and comprehensive? We certainly will need to add GENSAT, ABA, and CCDB (once that's been mapped). BioZen has a cell type "concept", but I'm not certain whether Matthias has mapped specific cell types in as sub-types: OWL-Class: bio-zen:cell-type-concept Annotations: rdfs:label (Datatype http://www.w3.org/2001/XMLSchema#string) : Celltype concept rdfs:comment (Datatype http://www.w3.org/2001/XMLSchema#string) : Concept describing a cell type (e.g. "hepatocyte", "neuron", "HeLa cell"). Subclass of: bio-zen:cell-concept Cheers, Bill On Mar 2, 2007, at 12:50 PM, Alan Ruttenberg wrote: > > Hi Chris, > > A reasonable suggestion. > > I'm kind of fishing for a volunteer to verify that whatever source > we choose has the appropriate coverage, and then to the mapping do > the mapping :) > > Regarding ontological questions, the usual thing I see in these > sorts of hierarchies is that derivation is confused with is_a. > I might use the URIs someone else coined for the specific classes > of cells and then then arrange the ontology properly. > > -Alan > > On Mar 2, 2007, at 11:47 AM, Chris Mungall wrote: > >> >> Umm, the OBO Cell ontology? There are a few ontological issues >> with OBO-Cell right now, but these are currently being addressed. >> There are also efforts within OBO to link cells with the brain >> regions they are part of, although these are currently focused on >> model organisms. >> >> On Mar 2, 2007, at 8:13 AM, Donald Doherty wrote: >> >>> >>> Alan, >>> >>> The region names are all available in the MeSH...would that give >>> you the >>> taxonomy you need? I don't know of a similar source for cell types. >>> >>> Don >>> >>> -----Original Message----- >>> From: Alan Ruttenberg [mailto:alanruttenberg@gmail.com] >>> Sent: Friday, March 02, 2007 3:21 AM >>> To: Bill Bug; kc28 Cheung; June Kinoshita; Gwen Wong; Donald Doherty >>> Cc: public-semweb-lifesci@w3.org >>> Subject: cell types, brain regions mentioned in gensat >>> >>> I'm making progress in converting gensat to rdf. >>> >>> For mapping considerations, here is the list of cell types mentioned >>> in gensat, followed by the list of brain regions. If we are going to >>> do cross queries we will need to find standard names for these. >>> Bill, >>> are these classes in birnlex? If not, we need to spawn a task to >>> identify a vocabulary we will use for these. >>> >>> Note that we get a region<->neuron association via gensat where they >>> annotation both a region and a cell type. >>> Note also some amusements, like the presence of lung as region in an >>> ostensibly CNS database. >>> >>> I've also attached the "ontology.csv" from the Allen Brain Explorer >>> application, which I presume gives their hierarchy of brain regions/ >>> subregions. I've put labels on the first 3 columns which I think >>> encode the hierarchy. >>> >>> The other interesting annotations, are the gene, the location, >>> orientation, and size of the image, as well as some broad categories >>> of qualitative expression, such as whether it is localized of widely >>> expressed. There is also gender and a few categories of age. >>> >>> There are ~60K images in gensat. >>> >>> BTW, if someone has a theory of what the other number in >>> ontology.xls >>> are, I'm all ears. >>> >>> -Alan >>> >>> >>> >>> >>> >> > > Bill Bug Senior Research Analyst/Ontological Engineer Laboratory for Bioimaging & Anatomical Informatics www.neuroterrain.org Department of Neurobiology & Anatomy Drexel University College of Medicine 2900 Queen Lane Philadelphia, PA 19129 215 991 8430 (ph) 610 457 0443 (mobile) 215 843 9367 (fax) Please Note: I now have a new email - William.Bug@DrexelMed.edu
Received on Friday, 2 March 2007 21:01:57 UTC