{"id":72,"date":"2022-05-16T16:02:19","date_gmt":"2022-05-16T15:02:19","guid":{"rendered":"https:\/\/biology.st-andrews.ac.uk\/kosiol-lab\/?page_id=72"},"modified":"2022-05-17T17:28:44","modified_gmt":"2022-05-17T16:28:44","slug":"software","status":"publish","type":"page","link":"https:\/\/biology.st-andrews.ac.uk\/kosiol-lab\/software\/","title":{"rendered":"Software"},"content":{"rendered":"<h3><a href=\"https:\/\/github.com\/mrborges23\/Bait-ER\">Bait-ER<\/a><\/h3>\n<p>A fully Bayesian approach to estimate selection coefficients from Evolve &amp; Resequence time series data.<\/p>\n<p>Reference: Barata, Borges and Kosiol, <em>Bait-ER: a Bayesian method to detect targets of selection in Evolve-and-Resequence experiments<\/em>, <em>bioRxiv<\/em>, 2020, <a href=\"http:\/\/doi.org\/10.1101\/2020.12.15.422880\"><span class=\"highwire-cite-metadata-doi highwire-cite-metadata\">doi.org\/10.1101\/2020.12.15.422880<\/span><\/a><\/p>\n<p>&nbsp;<\/p>\n<h3><a href=\"https:\/\/rdrr.io\/github\/PROBIC\/GPrank\/man\/GPrank-package.html\">GPrank R package<\/a><\/h3>\n<p>R package for ranking genomic time series using Gaussian Process models. The package allows for finding potential selection targets in Evolve &amp; Resequence experiments.<\/p>\n<p>References: Topa and Honkela, <em>Analysis of differential splicing suggests different modes of short-term splicing regulation<\/em>, <em>Bioinformatics, 2016, <a href=\"https:\/\/doi.org\/10.1093\/bioinformatics\/btw283\" data-google-interstitial=\"false\">doi.org\/10.1093\/bioinformatics\/btw283<\/a><\/em><\/p>\n<p>Topa, Jonas, Kofler, Kosiol and Honkela, <em>Gaussian process test for high-throughput sequencing time series: application to experimental evolution<\/em>, <em>Bioinformatics<\/em>, 2015, <a href=\"https:\/\/doi.org\/10.1093\/bioinformatics\/btv014\" data-google-interstitial=\"false\">doi.org\/10.1093\/bioinformatics\/btv014<\/a><\/p>\n<p>&nbsp;<\/p>\n<h3><a href=\"http:\/\/www.iqtree.org\/doc\/Polymorphism-Aware-Models\">IQ-TREE PoMo<\/a><\/h3>\n<p>Polymorphism-aware phylogenetic Models (PoMo) applied to phylogenetic tree inference using population data (site frequency data). One may reconstruct a maximum-likelihood tree from alignment data using IQ-TREE PoMo.<\/p>\n<p>Reference: Schrempf, Minh, De Maio, von Haeseler, and Kosiol, <em>Reversible polymorphism-aware phylogenetic models and their application to tree inference<\/em>, <em>Journal of Theoretical Biology<\/em>, 2016, <a class=\"doi\" title=\"Persistent link using digital object identifier\" href=\"https:\/\/doi.org\/10.1016\/j.jtbi.2016.07.042\" target=\"_blank\" rel=\"noreferrer noopener\" aria-label=\"Persistent link using digital object identifier\">doi.org\/10.1016\/j.jtbi.2016.07.042<\/a><\/p>\n<p>&nbsp;<\/p>\n<h3><a href=\"https:\/\/revbayes.github.io\/tutorials\/pomos\/\">RevBayes PoMo<\/a><\/h3>\n<p>The PoMo models&#8217; full-likelihood approach also allows for Bayesian inference of species trees.<\/p>\n<p>Includes <a href=\"https:\/\/www.youtube.com\/playlist?list=PLztACvN0g42ue0Y1cbcyTq3r6cMaTYpvg\">tutorials<\/a> on how to run PoMo on RevBayes.<\/p>\n<p>References: <span id=\"Borges2020\">Borges, Boussau, Sz\u00f6ll\u0151si and Kosiol, <em>Pervasive selection biases inferences of the species tree<\/em>, <em>bioRxiv<\/em>, 2020, <a href=\"http:\/\/doi.org\/10.1101\/2020.07.30.228965\"><span class=\"highwire-cite-metadata-doi highwire-cite-metadata\">doi.org\/10.1101\/2020.07.30.228965 <\/span><\/a><\/span><\/p>\n<p><span id=\"Borges2019\">Borges, Sz\u00f6ll\u0151si and Kosiol, <em>Quantifying GC-Biased Gene Conversion in Great Ape Genomes Using Polymorphism-Aware Models<\/em>, <em>Genetics<\/em>, 2019, <a href=\"http:\/\/doi.org\/10.1534\/genetics.119.302074\">doi.org\/10.1534\/genetics.119.302074<\/a><\/span><\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Bait-ER A fully Bayesian approach to estimate selection coefficients from Evolve &amp; Resequence time series data. Reference: Barata, Borges and Kosiol, Bait-ER: a Bayesian method to detect targets of selection in Evolve-and-Resequence experiments, bioRxiv, 2020, doi.org\/10.1101\/2020.12.15.422880 &nbsp; GPrank R package R package for ranking genomic time series using Gaussian Process models. The package allows for&hellip;<\/p>\n","protected":false},"author":50,"featured_media":0,"parent":0,"menu_order":6,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"class_list":["post-72","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/biology.st-andrews.ac.uk\/kosiol-lab\/wp-json\/wp\/v2\/pages\/72","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/biology.st-andrews.ac.uk\/kosiol-lab\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/biology.st-andrews.ac.uk\/kosiol-lab\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/biology.st-andrews.ac.uk\/kosiol-lab\/wp-json\/wp\/v2\/users\/50"}],"replies":[{"embeddable":true,"href":"https:\/\/biology.st-andrews.ac.uk\/kosiol-lab\/wp-json\/wp\/v2\/comments?post=72"}],"version-history":[{"count":0,"href":"https:\/\/biology.st-andrews.ac.uk\/kosiol-lab\/wp-json\/wp\/v2\/pages\/72\/revisions"}],"wp:attachment":[{"href":"https:\/\/biology.st-andrews.ac.uk\/kosiol-lab\/wp-json\/wp\/v2\/media?parent=72"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}