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Steven Weaver

Researcher at Temple University

Publications -  17
Citations -  2096

Steven Weaver is an academic researcher from Temple University. The author has contributed to research in topics: Web application & Evolutionary dynamics. The author has an hindex of 11, co-authored 17 publications receiving 1280 citations. Previous affiliations of Steven Weaver include University of California, San Diego.

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Datamonkey 2.0: A Modern Web Application for Characterizing Selective and Other Evolutionary Processes.

TL;DR: The release ofDatamonkey 2.0, a completely re-engineered version of the Datamonkey web-server for analyzing evolutionary signatures in sequence data, and HyPhy Vision, an accompanying JavaScript application for visualizing analysis results.
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Less is More: an Adaptive Branch-Site Random Effects Model for Efficient Detection of Episodic Diversifying Selection

TL;DR: Adaptive branch-site random effects likelihood (aBSREL), whose key innovation is variable parametric complexity chosen with an information theoretic criterion, delivers statistical performance matching or exceeding best-in-class existing approaches, while running an order of magnitude faster.
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Gene-Wide Identification of Episodic Selection

TL;DR: A new approach to identifying gene-wide evidence of episodic positive selection, where the non-synonymous substitution rate is transiently greater than the synonymous rate, and a computationally inexpensive evidence metric for identifying sites subject to episodicpositive selection on any foreground branches.
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HyPhy 2.5-A Customizable Platform for Evolutionary Hypothesis Testing Using Phylogenies.

TL;DR: The 2.5 release of Hyphy includes a completely re-engineered computational core and analysis library that introduces new classes of evolutionary models and statistical tests, delivers substantial performance and stability enhancements, improves usability, streamlines end-to-end analysis workflows, makes it easier to develop custom analyses, and is mostly backwards compatible with previous HyPhy releases.
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HIV-TRACE (TRAnsmission Cluster Engine): a Tool for Large Scale Molecular Epidemiology of HIV-1 and Other Rapidly Evolving Pathogens.

TL;DR: HIV-TRACE implements an approach inspired by traditional epidemiology, by identifying chains of partners whose viral genetic relatedness imply direct or indirect epidemiological connections, and can be applied to study outbreaks and epidemics of other rapidly evolving pathogens.