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Adding disclosures to Wikidata with Bioclipse
Last week the huge, bi-annual ACS meeting took place (#ACSSanDiego), during which commonly new drug (leads) are disclosed. This time too, like this one tweeted by Bethany Halford: -
Adding chemical compounds to Wikidata
Adding chemical compounds to Wikidata is not difficult. You can store the chemical formula (P274), (canonical) SMILES (P233), InChIKey (P235) (and InChI (P234), of course), as well various database identifiers (see what I wrote about that [here(http://chem-bla-ics.blogspot.nl/2015/12/new-edition-getting-cas-registry.html)]). It also allows storing of the provenance, and has predicates for that too. -
Chemistry Central and the ORCID identifier
If you are a scientist you have heard about the ORCID identifier by now. If not, you have been focusing on groundbreaking research and isolated yourself from the rest of the world, just to make it perfect and get that Nobel prize next year. If you have been working on impactful research, Nobel prize-worthy, and have been blogging and tweeting about your progress, as a good Open Scholar, you know ORCID is the DOI for “research contributors” and you already have one yourself, and probably also that T-shirt with your own identifier. Mine is 0000-0001-7542-0286, and almost 1.3M other authors got one too. The list of ORCIDs on Wikipedia is growing (and Wikidata), thanks to Andy Mabbett, whom also made it possible to add your ORCID on WikiPathways. -
Looking for a PhD and a Postdoc to work on Open Science Nanosafety
I am happy that I got my first research grant awarded (EU FP7), which should start after all the contracts are signed, etc, somewhere early 2014. The project is about setting up data needs for the analysis of nanosafety studies. And for this, I have the below two position vacancies available now. If you are keen on doing Open Science (CDK, Bioclipse, OpenTox, WikiPathways, …, …), working within the European NanoSafety Cluster, and have an affinity with understanding the systems biology of nanomaterials, then you may be interested in applying. -
Programming in the Life Sciences #6: functions
One key feature of programming languages is the following: first, there is linearity. This is an important point that is not always clear to students who just start to program. In fact, ask yourself what the algorithm is for counting the chairs in the room where you are now sitting. Could a computer do that in the same way? How should your algorithm change? A key point is, is that the program is run step by step, in a linear way. -
Programming in the Life Sciences #5: converting the results into HTML
Now that we have the communication working with the Open PHACTS LDA, it is time to make a nice GUI. I will not go into details, but we can use basic JavaScript to iterate over the JSON results, and, for example, create a HTML table: