Computational Biology

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]

From Science


Virtual Hot Spots

Physiological ecologists who design computer models to predict how animals handle heat are forecasting the effects of climate change.

Cell Polarity: Quantitative Modeling as a Tool in Cell Biology

Quantitative models can help summarize experimental findings and inspire further experiments.

Integrating Genomes

Review of the recent developments in the field of computational genomics in the era of high‐throughput sequencing.

Using Gene Expression Noise to Understand Gene Regulation

Single-cell measurements can reveal new insights into the regulatory phenomena of specific genes and the dynamic interplay of entire gene networks.

Computational Approaches to Developmental Patterning

Parallel progress in theory and experiment will play an increasingly central role in deciphering how embryos form.

From Science Signaling

Editorial Guide

Focus Issue: Adding Math to the Signaling Toolkit

Computational approaches can reveal how cells interpret, process, and respond to signals.

Synthetic Signal Propagation Through Direct Cell-Cell Interaction

An engineered system based on Notch and Delta in mammalian cultured cells recapitulates signal propagation, a phenomenon that occurs in development.

Quantifying Crosstalk Among Interferon-γ, Interleukin-12, and Tumor Necrosis Factor Signaling Pathways Within a TH1 Cell Model

Combining experiments with mathematical modeling provides insights into the responses of T cells to cytokines.

Understanding Signaling Dynamics Through Synthesis

Signal propagation through a synthetic gene circuit containing a cell contact-dependent positive feedback loop requires intracellular amplification.

Unmasking Functional Motifs Within Disordered Regions of Proteins

The application of a computational approach to identify of short linear motifs may enable engineering of signaling networks.

Computational Approaches for Analyzing Information Flow in Biological Networks

Signaling network construction and analysis provide insights into biology and medicine.

A Systematic Approach for Analysis of Peptide Array Kinome Data

A new method of analysis of kinome data takes account of the differences between peptide arrays and DNA microarrays.

From Science Careers

Are Computational Biologists the Next Pharma Scientists?

Drug development companies are now hiring more computational biologists, creating an abundance of high-paying jobs.

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Special Show

Quantitative modeling for development, virtual animals, and more.