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:
â€žJournal of Negative Results â€“ Ecology and Evolutionary Biologyâ€œ (JNR-EEB)
â€žJournal of Negative Observations in Genetic Oncologyâ€œ
â€žJournal of Interesting Negative Results in Natural Language Processing and Machine Learningâ€œ
â€žJournal of Articles in Support of the Null Hypothesisâ€œ
â€žJournal of Negative Results in Biomedicineâ€œ
â€žForum for Negative Resultsâ€œ (FNR) inside of â€žJournal of Universal Computer Scienceâ€œ