biology computing

A brief history of COMBINE

Standards for data exchange are critical to the development of any field. They enable researchers and practitioners to transport information reliably, to apply a variety of tools to their problems, and to reproduce scientific results. Over the past …

Toward Community Standards and Software for Whole-Cell Modeling

Objective: Whole-cell (WC) modeling is a promising tool for biological research, bioengineering, and medicine. However, substantial work remains to create accurate comprehensive models of complex cells. Methods: We organized the 2015 Whole-Cell …

Computational Synthetic Biology: Progress and the Road Ahead

Synthetic biology promises to leverage engineering principles to enable model-based design of genetic circuits. To be successful, advancements are needed in both experimental and computational methods to support this new approach. This paper focuses …

Promoting Coordinated Development of Community-Based Information Standards for Modeling in Biology: The COMBINE Initiative

COMBINE (Computational Modeling in Biology Network) is a consortium of groups involved in the development of open community standards and formats used in computational modeling in biology. COMBINE's aim is to act as a coordinator, facilitator, and …

Learning Genetic Regulatory Network Connectivity from Time Series Data

Recent experimental advances facilitate the collection of time series data that indicate which genes in a cell are expressed. This information can be used to understand the genetic regulatory network that generates the data. Typically, Bayesian …

iSSA: An incremental stochastic simulation algorithm for genetic circuits

Researchers are now developing synthetic genetic circuits to manipulate the biochemical processes within living cells. In order to model and predict the behavior of these circuits, the designer must account for numerous reactions among many chemical …