Avi Ma'ayan hopes for improvements in the evaluation of biomedical academic software development projects
How bioinformatics tools are bringing insight to the environmental side of the health equation
When it comes to what kills people, Nurture trumps Nature: Chronic diseases with overwhelmingly environmental (rather than genetic) causes are responsible for the deaths of two-thirds of the world’s population. Yet the investment made in unraveling the environmental side of the health equation pales by comparison to the investment in human genome research.
How are mathematics and systems approaches shedding light on gut formation and microbial interaction?
The heart holds a special place in human history and literature, and the brain may be the organ we most associate with a sense of self. But the proverbial seat of wisdom—the gut—deserves reverence, too.
It is an architectural wonder buzzing with activity. A 20- to 40-foot tube with many tight bends and folds, the gut houses trillions of bacteria working in cahoots with our own cells to extract energy from food and maintain health.
Using computational approaches to assemble plausible 3-D structures
As a result of experimental techniques developed about a decade ago, researchers now have data that can be used to reconstruct how the genome is arranged inside the nucleus. This 3-D structure likely plays a role in determining cellular function by affecting cells’ ability to access, read and interpret genetic information.
Leveraging big data, modeling, and computational biology to create new protocols
Most scientists seeking to turn back adult cells’ developmental clocks rely on go-to recipes that—when followed just right—will yield stem cells. A dash of one reprogramming factor, a sprinkle of another, and let the mixture stew. Likewise, when researchers want stem cells to remain stem cells or, alternatively, when they want them coaxed down a particular developmental pathway, they have cocktails they turn to. Most of these recipes were concocted using trial and error over the past few years, and then they’ve been passed between labs.
Bringing big data to gait analysis