A Focus on Allostery, Programming for Bioscientists, Ten Simple Rules for Effective Stats Practice: the PLOS Comp Biol June Issue
Check out our highlights from the PLOS Computational Biology June 2016 Issue:
Allostery Focus Feature
This Focus Feature, led by Jin Liu and Ruth Nussinov, turns the spotlight on allostery. The research included comprises a range of both new and existing work, covering diverse methods and applications in allostery. It provides an overview of allostery’s history, concepts and methods, and explores allostery in key proteins, membrane-spanning receptors and soluble hub proteins. It also addresses single proteins and assemblies, NMR, simulations and network analysis, with the overall aim of helping to clarify the phenomenon of allostery and its implications.
Continuing Education Workshops in Bioinformatics Positively Impact Research and Careers
Bioinformatics.ca has been hosting continuing education programs in introductory and advanced bioinformatics topics since 1999, and has trained more than 1,500 participants to date. Michelle Brazas and Francis Ouellette look back on whether continuing education programming in bioinformatics has had an impact on research beyond the classroom.
An Introduction to Programming for Bioscientists: A Python-Based Primer
The ability to design algorithms and program computers, even at a novice level, may be the most indispensable skill that a modern researcher can cultivate. As with human languages, computational fluency is developed actively, not passively. With this self-contained text, structured as a hybrid primer/tutorial, Cameron Mura and colleagues introduce any biologist—from college freshman to established senior scientist—to basic computing principles (control-flow, recursion, regular expressions, etc.) and the practicalities of programming and software design.
Ten Simple Rules for Effective Statistical Practice
Nancy Reid and colleagues have developed this list of rules for effective statistical practice with researchers in mind: researchers with some knowledge of statistics, researchers with one or more statisticians available in their building, or simply those with a do-it-yourself attitude and a handful of statistical packages on their laptops.