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: 1075
Function: getPubMedXML
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3195
Function: GetPubMedArticleOutput_2016
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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Researchers traditionally calculate growth rates using the natural logarithm of optical density (OD), with existing script packages facilitating this process. Automatic plate readers, capable of simultaneously measuring OD across 384 cultures, significantly enhance data collection efficiency. Furthermore, these readers also measure luminescence and fluorescence, providing valuable insights into gene expression. However, current analysis software often struggle with data generated by robotic systems measuring multiple plates, limiting the integration of growth and reporter analyses. This method paper addresses three key challenges: (a) the incompatibility of robotic multi-plate systems with existing analysis software, (b) the integration of growth and reporter analyses, and (c) the development of user-friendly interfaces for non-programmers. To address these challenges, we offer optimized script packages and a relevant case study on matrix expression in response to antibiotics. Our platform facilitates the efficient and integrated analysis of multi-plate growth and reporter data.
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Source |
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC12388276 | PMC |
http://dx.doi.org/10.3390/microorganisms13081889 | DOI Listing |