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283b08d45f
* 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>
123 lines
6.0 KiB
XML
123 lines
6.0 KiB
XML
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<pre>
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<MedlineCitation Owner="NLM" Status="MEDLINE">
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<PMID Version="1">7288891</PMID>
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<DateCreated>
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<Year>1981</Year>
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<Month>12</Month>
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<Day>22</Day>
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</DateCreated>
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<DateCompleted>
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<Year>1981</Year>
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<Month>12</Month>
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<Day>22</Day>
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<DateRevised>
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<Year>2010</Year>
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<Month>11</Month>
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<Day>18</Day>
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<Article PubModel="Print">
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<Journal>
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<ISSN IssnType="Print">0022-2844</ISSN>
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<JournalIssue CitedMedium="Print">
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<Volume>17</Volume>
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<Issue>6</Issue>
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<PubDate>
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<Year>1981</Year>
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</PubDate>
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</JournalIssue>
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<Title>Journal of molecular evolution</Title>
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<ISOAbbreviation>J. Mol. Evol.</ISOAbbreviation>
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</Journal>
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<ArticleTitle>Evolutionary trees from DNA sequences: a maximum likelihood approach.</ArticleTitle>
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<Pagination>
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<MedlinePgn>368-76</MedlinePgn>
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</Pagination>
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<Abstract>
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<AbstractText>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.</AbstractText>
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<LastName>Felsenstein</LastName>
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<DescriptorName MajorTopicYN="Y">Base Sequence</DescriptorName>
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<DescriptorName MajorTopicYN="Y">Biological Evolution</DescriptorName>
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<DescriptorName MajorTopicYN="N">DNA</DescriptorName>
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<QualifierName MajorTopicYN="Y">genetics</QualifierName>
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<Year>1981</Year>
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