PLoS Computational Biology: A Peer-Reviewed Open-Access Journal

Circadian KaiC Phosphorylation: A Multi-Layer Network
Spatial Analysis of Expression Patterns Predicts Genetic Interactions at the Mid-Hindbrain Boundary
A Novel Extended Granger Causal Model Approach Demonstrates Brain Hemispheric Differences during Face Recognition Learning
Exon Array Analysis of Head and Neck Cancers Identifies a Hypoxia Related Splice Variant of LAMA3 Associated with a Poor Prognosis
Evaluation of the Oscillatory Interference Model of Grid Cell Firing through Analysis and Measured Period Variance of Some Biological Oscillators
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Collection

PLoS Collection on the Genomics of Emerging Infectious Disease

A collection of essays, perspectives, and reviews, produced with support from Google.org, describes how genomics can revolutionize our understanding of emerging infectious disease. The collection has contributions from nearly all the PLoS Journals: PLoS Computational Biology offers three Perspectives. Computational Resources in Infectious Disease: Limitations and Challenges (Eva Berglund et al.), Discovering the Phylodynamics of RNA Viruses (Edward Holmes & Bryan Grenfell) and The Role of Medical Structural Genomics in Discovering New Drugs for Infectious Diseases (Wesley Van Voorhis et al.). You can listen to an audio interview discussion of the issues raised by this collection.

Perspective

Computational Biology in Colombia

In the latest addition to our Developing Computational Biology series, Silvia Restrepo et al. discuss the past, present, and future of this emerging field in Colombian science.

Featured Research

Stochastic Drift in Mitochondrial DNA Point Mutations: A Novel Perspective Ex Silico

Studies into the link between aging and accumulated DNA damage have been hindered by the difficulties in quantifying mtDNA mutation burden. The authors show that a random drift in point mutation during life, combined with the experimental sampling can explain the variability seen in some of the reported data.

Identifying Changes in Selective Constraints: Host Shifts in Influenza

Asif Tamuri et al. describe a new approach to identify regions of viral genomes where selective pressures have changed as a result of a shift into a new host. This work could provide important clues about the history of viral transmission, and how surveillance for new influenza threats should be targeted.

Photo credit: Rama (CCSA)

Robust Models for Optic Flow Coding in Natural Scenes Inspired by Insect Biology

Brinkworth & O'Carroll present a full model for motion processing in the insect visual pathway incorporating known or suspected elements in as much detail as possible. The implementation of this new algorithm could provide a very useful and robust velocity estimator for artificial navigation systems.

Other PLoS Content

PLoS Biology

Bayesian Modeling of the Yeast SH3 Domain Interactome Predicts Spatiotemporal Dynamics of Endocytosis Proteins

October 2009 Issue

PLoS Computational Biology is a peer-reviewed, open-access journal featuring works of exceptional significance that further our understanding of living systems at all scales through the application of computational methods. It is an official journal of the International Society for Computational Biology.