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01/16/2018

methods paper

Clustering gene expression time series data using an infinite Gaussian process mixture model

Transcriptome-wide time series expression profiling is used to characterize the cellular response to environmental perturbations. Here McDowell et al. present a nonparametric model-based method, Dirichlet process Gaussian process mixture model (DPGP), which jointly models cluster number with a Dirichlet process and temporal dependencies with Gaussian processes. 

Image credit: McDowell et al.

Clustering gene expression time series data using an infinite Gaussian process mixture model

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Current Issue December 2017

01/12/2018

research article

A direct interaction of cholesterol with the dopamine transporter prevents its out-to-inward transition

Neurotransmission occurs at the synapse and is central to a proper functioning of the human nervous system. In particular, monoamine transporters (MATs), key players in the process of stopping signaling, are primary targets for treatment of mental disorders. Zeppelin et al. address the intriguing mechanism by which the presence of CHOL affects the function of MATs. 

Image credit: Zeppelin et al.

A direct interaction of cholesterol with the dopamine transporter prevents its out-to-inward transition

01/18/2018

education paper

The ISCB Student Council Internship Program: Expanding computational biology capacity worldwide

Aimed at helping students develop research skills in computational biology and alleviating the divide across countries, the Student Council of the International Society for Computational Biology introduced its Internship Program in 2009. Anupama et al. present how the Internship Program works and the impact of the internship opportunities so far, along with the challenges.

 

 

Image credit: PLOS

The ISCB Student Council Internship Program: Expanding computational biology capacity worldwide

01/16/2018

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Jacob Kimmel


Our paper inferring cell states from motility behavior is out in PLoS CompBio! ever wondered if there was order within the chaos of the phenotypic changes you see under a microscope? all this & more below the fold http://journals.plos.org/

Jacob Kimmel

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