discourse/spec/fixtures/onebox/pubmed.response
Arpit Jalan 283b08d45f
DEV: Absorb onebox gem into core (#12979)
* Move onebox gem in core library

* Update template file path

* Remove warning for onebox gem caching

* Remove onebox version file

* Remove onebox gem

* Add sanitize gem

* Require onebox library in lazy-yt plugin

* Remove onebox web specific code

This code was used in standalone onebox Sinatra application

* Merge Discourse specific AllowlistedGenericOnebox engine in core

* Fix onebox engine filenames to match class name casing

* Move onebox specs from gem into core

* DEV: Rename `response` helper to `onebox_response`

Fixes a naming collision.

* Require rails_helper

* Don't use `before/after(:all)`

* Whitespace

* Remove fakeweb

* Remove poor unit tests

* DEV: Re-add fakeweb, plugins are using it

* Move onebox helpers

* Stub Instagram API

* FIX: Follow additional redirect status codes (#476)

Don’t throw errors if we encounter 303, 307 or 308 HTTP status codes in responses

* Remove an empty file

* DEV: Update the license file

Using the copy from https://choosealicense.com/licenses/gpl-2.0/#

Hopefully this will enable GitHub to show the license UI?

* DEV: Update embedded copyrights

* DEV: Add Onebox copyright notice

* DEV: Add MIT license, convert COPYRIGHT.txt to md

* DEV: Remove an incorrect copyright claim

Co-authored-by: Jarek Radosz <jradosz@gmail.com>
Co-authored-by: jbrw <jamie@goatforce5.org>
2021-05-26 15:11:35 +05:30

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<div class="rprt_all"><div class="rprt abstract"><div class="cit"><a href="#" title="Journal of molecular evolution." abstractLink="yes" alsec="jour" alterm="J Mol Evol.">J Mol Evol.</a> 1981;17(6):368-76.</div><h1>Evolutionary trees from DNA sequences: a maximum likelihood approach.</h1><div class="auths"><a href="/pubmed?term=Felsenstein%20J%5BAuthor%5D&amp;cauthor=true&amp;cauthor_uid=7288891">Felsenstein J</a>.</div><div class="abstr"><h3>Abstract</h3><div class=""><p>The application of maximum likelihood techniques to the estimation of evolutionary trees from nucleic acid sequence data is discussed. A computationally feasible method for finding such maximum likelihood estimates is developed, and a computer program is available. This method has advantages over the traditional parsimony algorithms, which can give misleading results if rates of evolution differ in different lineages. It also allows the testing of hypotheses about the constancy of evolutionary rates by likelihood ratio tests, and gives rough indication of the error of ;the estimate of the tree.</p></div></div><div class="aux"><div class="resc"><dl class="rprtid"><dt>PMID:</dt> <dd>7288891</dd> <dd> [PubMed - indexed for MEDLINE] </dd><dd> </dd></dl></div><div class="links"></div></div><div class="morecit"><h3><a title="Supplemental information" class="jig-ncbitoggler ui-ncbitoggler" href="#"><span class="ui-ncbitoggler-master-text">Publication Types, MeSH Terms, Substances</span><span class="ui-icon ui-icon-triangle-1-e"></span></a></h3><div class="ui-ncbi-toggler-slave"><h4>Publication Types</h4><ul><li><a href="#" abstractLink="yes" alsec="ptyp" alterm="Research Support, U.S. Gov't, Non-P.H.S.">Research Support, U.S. Gov't, Non-P.H.S.</a></li></ul><h4>MeSH Terms</h4><ul><li><a href="#" abstractLink="yes" alsec="mesh" alterm="Base Sequence*">Base Sequence*</a></li><li><a href="#" abstractLink="yes" alsec="mesh" alterm="Biological Evolution*">Biological Evolution*</a></li><li><a href="#" abstractLink="yes" alsec="mesh" alterm="Computers">Computers</a></li><li><a href="#" abstractLink="yes" alsec="mesh" alterm="DNA/genetics*">DNA/genetics*</a></li><li><a href="#" abstractLink="yes" alsec="mesh" alterm="Mathematics">Mathematics</a></li><li><a href="#" abstractLink="yes" alsec="mesh" alterm="Models, Biological">Models, Biological</a></li><li><a href="#" abstractLink="yes" alsec="mesh" alterm="Phylogeny">Phylogeny</a></li></ul><h4>Substances</h4><ul><li><a href="#" abstractLink="yes" alsec="subs" alterm="DNA">DNA</a></li></ul></div></div><div class="morecit"><h3><a title="Links to resources such as full text articles and biological data" class="jig-ncbitoggler ui-ncbitoggler" href="#"><span class="ui-ncbitoggler-master-text">LinkOut - more resources</span><span class="ui-icon ui-icon-triangle-1-e"></span></a></h3><div class="ui-ncbi-toggler-slave"><div class="linkoutlist"><h4>Other Literature Sources</h4><ul><li><a title="Free resource" href="http://www.scholaruniverse.com/ncbi-linkout?id=7288891" ref="itool=Abstract&amp;PrId=3087&amp;uid=7288891&amp;db=pubmed&amp;log$=linkoutlink&amp;nlmid=0360051" target="_blank">COS Scholar Universe</a></li></ul></div></div></div><div id="comments_panel" data-recid="7288891" data-exp="true" data-rsys="1"><div id="comments_panel_head"><a id="coments_panel_anchor" href="/pubmedcommons/" name="comments">PubMed Commons home</a><h2><span id="show_comments" title="Shows comments">
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