One of our TPC members, André Velásquez (He Lab), will be leading an RCR (Responsible Conduct for Research) discussion on “Statistical Methods in Plant Molecular Biology.” In this session, we will discuss […]
One of our TPC members, Siobhan Cusack (He Lab), will be leading an RCR discussion on “Data Management.” One of the current challenges of biology research and science in general […]
Graduate student Amanda Charbonneau (Dworkin/Conner Labs) will be giving an overview of bioinformatics resources available through the Institute for Cyber-Enabled Research (iCER) and the High Performance Computing Center (HPCC). iCER facilitates advanced computational […]
MSU Courses: Statistics Statistics for Biologists (STT464): This course is a step1 for individuals with no background in statistics. The course covers the basics of the importance of statistical analysis, experimental […]
Problems with experimental reproducibility have been of concern in the scientific community of late, which has been attributed as least in part to our misuse of p-values. Misconceptions of the […]
There are a couple recent features/editorials in the Nature special section for irreproducible research that discuss our cognitive bias during experiments and whether we take any steps to limit those biases. A […]
The alarming explosion of genome sequencing data was recently addressed in PLoS Biology (Big Data: Astronomical or Genomical), and touched on in Nature News (Genome researchers raise alarm over big […]
recommended by: Koichi Sugimoto Koichi says be sure to check out the resources provided in the supplemental information (See “Conclusions” after the Abstract below). Beyond Bar and Line Graphs: Time […]
I recently saw a quote in an email from my Twitter account that caught my attention: “…many people view bioinformatics as a collection of recipe-style solutions to specific tasks, rather […]
