The study of HIV evolution is not only critical to fighting the virus; it has also driven advances in the computational tools used to study evolution in general.
Using computational models, researchers are gaining traction toward understanding what makes a stem cell a stem cell; how gene expression drives stem cell differentiation; why studying stem cell heterogeneity is important; and, ultimately, how stem cells control their fate.
Central repository of information on genes and proteins requires participation by the scientific community
Making reproducible research accessible to people who don’t write code
CompuCell-3D models behaviors rather than genes
Biomarker research, genetics, and imaging are all coming into play
They've gone from hype to backlash. Now it's time for reality: How microarrays are being used to benefit healthcare
Hi-C technique looks at chromosomes at unprecedented level of resolution