Browse our latest Computational and Systems Biology articles

Single cells are believed to be incapable of complex forms of learning, but reconsideration of historical studies and more recent developments suggest that this orthodoxy must now be reconsidered.

When two signals increase transcription of the same gene, their combined effect tends to reflect either the sum of the individual increases or the product of the individual fold-changes.

Diverse muscle spindle firing, critical for a range of sensorimotor behaviors, is compactly explained by first principles of force development in specialized muscle fibers within the sensors.

Just as the sinoatrial node acts as pacemaker for the heart, the nucleus acts as pacemaker for the Xenopus embryonic cell cycle.

The immune Synergistic/Antagonistic Interaction Learner (iSAIL) resource has the capacity to generate insight into combinatorial immunity, help guide hypothesis generation and further experimentation relevant to basic research and drug therapeutics.

Quantification of uncertainty in drug dose-responses provides a more robust metric for differentiating drugs and identifying biomarkers of response.

Bacterial evolutionary adaptation to two chemotherapy drugs can lead to changes in bacterial metabolism and impact drug toxicity in a worm host.

Analysis of proteomic data identified protein biomarkers of aging, mortality and aging-related diseases, supporting their use to monitor aging trajectories and identify individuals at higher risk of disease.

FLEXIQuant-LF provides the framework to enable large-scale identification of differentially modified peptides and quantification of their modification extent in label-free mass spectrometry data without prior knowledge of the modification type.

A comparison of different bioimage analysis pipelines reveals how deep learning can be used for automatized and reliable analysis of fluorescent features in biological datasets.