INTRODUCTION—Today, the availability of vast quantities of new data, together with striking advances in computing power, is promising
to give us new insights into the mechanisms of life. This special section, together with related content in Science Signaling and Science Careers, highlights recent advances and outstanding challenges. [Read the full introduction]
Physiological ecologists who design computer models to predict how animals handle heat are forecasting the effects of climate
Quantitative models can help summarize experimental findings and inspire further experiments.
Review of the recent developments in the field of computational genomics in the era of high‐throughput sequencing.
Single-cell measurements can reveal new insights into the regulatory phenomena of specific genes and the dynamic interplay
of entire gene networks.
Parallel progress in theory and experiment will play an increasingly central role in deciphering how embryos form.
Computational approaches can reveal how cells interpret, process, and respond to signals.
An engineered system based on Notch and Delta in mammalian cultured cells recapitulates signal propagation, a phenomenon that
occurs in development.
Combining experiments with mathematical modeling provides insights into the responses of T cells to cytokines.
Signal propagation through a synthetic gene circuit containing a cell contact-dependent positive feedback loop requires intracellular
The application of a computational approach to identify of short linear motifs may enable engineering of signaling networks.
Signaling network construction and analysis provide insights into biology and medicine.
A new method of analysis of kinome data takes account of the differences between peptide arrays and DNA microarrays.
Drug development companies are now hiring more computational biologists, creating an abundance of high-paying jobs.
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