Severity: Warning
Message: file_get_contents(https://...@pubfacts.com&api_key=b8daa3ad693db53b1410957c26c9a51b4908&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 176
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 176
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 250
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3122
Function: getPubMedXML
File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 316
Function: require_once
In this chapter, we outline a pipeline for ortholog prediction and phylogenetic analysis in plants. This computational pipeline uses algorithms from different software to enable bioinformatic-beginner biologists to predict orthologs that can be shared with many distinct plant nonmodel and model species and identify gene loss events. Prediction of orthologs allows (1) investigation of the evolutionary relationships of plant genomes, (2) discovery of their origin, function, and (3) the impact of their adaptability to the environment.We developed a pipeline to fit, not only eukaryote but also prokaryote organisms, with small or large genomes. All results acquired from the orthologs predication will enable phylogenetic tree construction, using gene and species (phylogenomic) phylogeny approaches.
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Source |
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http://dx.doi.org/10.1007/978-1-0716-2429-6_1 | DOI Listing |
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