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Molecular Evolution of Human Coronavirus Genomes

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TLDR
This review of recent findings on the molecular evolution of HCoV genomes is summarized, with special attention to recombination and adaptive events that generated new viral species and contributed to host shifts and to H coV emergence.
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This article is published in Trends in Microbiology.The article was published on 2017-01-01 and is currently open access. It has received 604 citations till now. The article focuses on the topics: Molecular evolution.

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Origin and evolution of pathogenic coronaviruses

TL;DR: The viral factors that enabled the emergence of diseases such as severe acute respiratory syndrome and Middle East respiratory syndrome are explored and the diversity and potential of bat-borne coronaviruses are highlighted.
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Network-based drug repurposing for novel coronavirus 2019-nCoV/SARS-CoV-2

TL;DR: This study presents an integrative, antiviral drug repurposing methodology implementing a systems pharmacology-based network medicine platform, quantifying the interplay between the HCoV–host interactome and drug targets in the human protein–protein interaction network.
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Another Decade, Another Coronavirus.

TL;DR: For the third time in as many decades, a zoonotic coronavirus has crossed species to infect human populations and this virus, provisionally called 2019-nCoV, was first identified in Wuhan, China, in 2016.
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Evolutionary origins of the SARS-CoV-2 sarbecovirus lineage responsible for the COVID-19 pandemic.

TL;DR: SARS-CoV-2 itself is not a recombinant of any sarbecoviruses detected to date, and its receptor-binding motif appears to be an ancestral trait shared with bat viruses and not one acquired recently via recombination.
References
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Journal ArticleDOI

MrBayes 3: Bayesian phylogenetic inference under mixed models

TL;DR: MrBayes 3 performs Bayesian phylogenetic analysis combining information from different data partitions or subsets evolving under different stochastic evolutionary models to analyze heterogeneous data sets and explore a wide variety of structured models mixing partition-unique and shared parameters.
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RAxML version 8: a tool for phylogenetic analysis and post-analysis of large phylogenies.

TL;DR: This work presents some of the most notable new features and extensions of RAxML, such as a substantial extension of substitution models and supported data types, the introduction of SSE3, AVX and AVX2 vector intrinsics, techniques for reducing the memory requirements of the code and a plethora of operations for conducting post-analyses on sets of trees.
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New Algorithms and Methods to Estimate Maximum-Likelihood Phylogenies: Assessing the Performance of PhyML 3.0

TL;DR: A new algorithm to search the tree space with user-defined intensity using subtree pruning and regrafting topological moves and a new test to assess the support of the data for internal branches of a phylogeny are introduced.
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Predicting transmembrane protein topology with a hidden Markov model: application to complete genomes

TL;DR: A new membrane protein topology prediction method, TMHMM, based on a hidden Markov model is described and validated, and it is discovered that proteins with N(in)-C(in) topologies are strongly preferred in all examined organisms, except Caenorhabditis elegans, where the large number of 7TM receptors increases the counts for N(out)-C-in topologies.
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PAML 4: Phylogenetic Analysis by Maximum Likelihood

TL;DR: PAML, currently in version 4, is a package of programs for phylogenetic analyses of DNA and protein sequences using maximum likelihood (ML), which can be used to estimate parameters in models of sequence evolution and to test interesting biological hypotheses.
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