August last year I asked on BioStar about how to import RDF into the R statistical package and at the time nothing seemed existing. Over the past few weeks I ported code I wrote for Bioclipse to create the rrdf package for R, which is now available from CRAN. RDF can be loaded from RDF/XML, Notation3, and Turtle files, using Jena, and read data can be queried using SPARQL.
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Thanx to the work of Onkar Shinde, the Debian package for CDK has been updated from 1.0.2 (in Squeeze) to 1.2.7 in unstable.

Update 2021-02: this post is still the more read post in my blog. Welcome! Some updates:

Ammar Ammar in our BiGCaT group has set up a new SPARQL endpoint. Please use and tweet. blog, or otherwise let others now how you use the ChEMBL RDF.Since this post I have blogged a lot more about ChEMBL.

Update: this work is now written down in this paper. 

I'm having a really bad month, as you can see from the number of posts. Too much to do, too little time.
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Above is a typical Venn diagram. But I like mine so that the area of the circles reflect the number of object in that circle (or logarithm thereof), and the areas of the overlaps to be proportional to the number of objects in that overlap. Is there an 'arp' for that? (I know that "there is an app for this" it trademarketed... 'arp', instead, is short for R package).
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This blog deals with chemblaics in the broader sense. Chemblaics (pronounced chem-bla-ics) is the science that uses computers to solve problems in chemistry, biochemistry and related fields. The big difference between chemblaics and areas such as chem(o)?informatics, chemometrics, computational chemistry, etc, is that chemblaics only uses open source software, open data, and open standards, making experimental results reproducible and validatable. And this is a big difference!
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