Computational biologists are optimistic that the purchase of the world’s largest hub for open-source computer code will not affect the way they use GitHub for science.

The use of underperforming computational tools is a major offender in science’s reproducibility crisis—and there’s growing momentum to avoid it.

Nineteen researchers have stepped down after the journal decided not to retract a paper that they say plagiarized the work of a Johns Hopkins biomedical scientist.

Computational tools for mapping out synthetic nucleic acids

Autonomous molecules that collect, carry, and sort different genetic packages usher in a new era for nucleic-acid robotics. 

A computer model estimates that gene-drive technology could wipe out populations of an invasive mammal on islands. 

Researchers could reconstruct the faces a monkey saw from the patterns of neuronal activity in a certain area of the brain.

Transcript abundance isn’t a reliable indicator of protein quantity, contrary to studies’ suggestions. 

Teams of modelers compete to develop algorithms for estimating how people will perceive a particular odor from its molecular characteristics.

Analyzing single cell sequences to decipher the evolution of a tumor