RNAi in PubChem

While considering ways to disseminate RNAi screening data, I found out that PubChem now contains two RNAi screening datasets – AIDs 1622 and 1904. These screens reuse the PubChem bioaassay formats – which is both good and bad. For example, while there are a few standardized columns (such as PUBCHEM_ACTIVITY_SCORE), the bulk of the user […]

ChEMBL in RDF and Other Musings

Earlier today, Egon announced the release of an RDF version of ChEMBL, hosted at Uppsala. A nice feature of this setup is that one can play around with the data via SPARQL queries as well as explore the classes and properties that the Uppsala folks have implemented. Having fiddled with SPARQL on and off, it […]

When is a Bad Plate Bad?

When running a high-throughput screen, one usually deals with hundreds or even thousands of plates. Due to the vagaries of experiments, some plates will not be ervy good. That is, the data will be of poor quality due to a variety of reasons. Usually we can evaluate various statistical quality metrics to asses which plates […]

Are Bioinformatics Results Too Good To Be True?

I came across an interesting┬ápaper by Ann Boulesteix where she discusses the problem of false positive results being reported in the bioinformatics literature. She highlights two underlying phenomena that lead to this issue – “fishing for significance” and “publication bias”. The former phenomenon is characterized by researchers identifying datasets on which their method works better […]