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: 1057
Function: getPubMedXML
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3175
Function: GetPubMedArticleOutput_2016
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
There has been steady progress in the computational analysis of transcription control regions, but current methods of predicting the gene regulatory features of noncoding sequences are still not accurate enough to be useful in automatic genome annotation. Therefore, detailed information on the expression patterns of newly sequenced genes is more likely to come from microarray-based high-throughput mRNA quantitation technologies, which have made revolutionary progress over the past few years and are now ready for genome-wide application. Future solutions to the regulatory element prediction problem may be found by the combined analysis of genome sequence and expression data.
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Source |
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http://dx.doi.org/10.1016/S0959-440X(99)80054-2 | DOI Listing |
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