Severity: Warning
Message: file_get_contents(https://...@gmail.com&api_key=61f08fa0b96a73de8c900d749fcb997acc09&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 197
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 197
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 271
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3165
Function: getPubMedXML
File: /var/www/html/application/controllers/Detail.php
Line: 597
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 511
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 317
Function: require_once
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Phylogenetic placement is the computational task that places a query taxon into a reference phylogeny by analyzing biomolecular sequences or other evolutionary characters. A chief advantage of phylogenetic placement over traditional phylogenetic reconstruction is computational scalability, and the former has many applications in phylogenetics and beyond. Existing phylogenetic placement methods share the common simplifying assumption that a phylogenetic tree suffices for modeling evolutionary history. However, a growing body of research indicates that non-tree-like evolution is prevalent throughout the Tree of Life - the evolutionary history of all life on Earth - which in fact may not be a tree at all. More general graph representations such as phylogenetic networks have therefore been proposed, and a new generation of phylogenetic network reconstruction methods are under active development. But the simplifying assumption made by phylogenetic tree placement methods is fundamentally at odds with the non-tree-like evolutionary histories of many microbes and other organisms. The consequences of this conflict are poorly understood. In this study, we conduct a comprehensive performance study to directly assess the impact of non-tree-like evolution on phylogenetic tree placement of genomes and metagenomes. Our study includes in silico simulation experiments as well as empirical data analyses. We find that the topological accuracy of phylogenetic tree placement degrades quickly as genomic sequence evolution becomes increasingly non-tree-like. We then introduce NetPlacer, a new statistical method for phylogenetic network placement of genomes and metagenomes. Initial experiments with NetPlacer provide a proof-of-concept, but also point to the need for greater computational scalability.
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http://dx.doi.org/10.1109/TCBBIO.2024.3519311 | DOI Listing |