The main challenge for bioinformatics is certainly not to stop at the description of all these nice networks and pathways but to develop hypotheses that add to our understanding (and that may be tested further). So, I am a little bit late to say that I liked the presentation of Sascha Sauer ( MPG Berlin ) at a meeting Paris at May 31, 2011 on genomic epidemiology using the title “Make hypotheses”. Continue reading Make hypotheses!
which is even true for negative knowledge, e.g. the knowledge there is no association between factor x and factor y under condition z. As we all know this is being difficult to publish – Technology Review offers some relief:
„Journal of Negative Results – Ecology and Evolutionary Biology“ (JNR-EEB)
„Journal of Negative Observations in Genetic Oncology“
„Journal of Interesting Negative Results in Natural Language Processing and Machine Learning“
„Journal of Articles in Support of the Null Hypothesis“
„Journal of Negative Results in Biomedicine“
„Forum for Negative Results“ (FNR) inside of „Journal of Universal Computer Science“