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
Methods for cluster analysis of IS6110 based restriction fragment length polymorphism (RFLP) patterns of Mycobacterium tuberculosis isolates were studied for an epidemiological investigation in Chiba prefecture. To normalize patterns, external size markers were adopted instead of typical internal size markers used in the standard method. RFLP patterns were run on 1.4% agarose gels and external markers were applied to outside and middle lanes on each gel for precise comparison. The resulting RFLP patterns of 74 isolates were clustered by similarity. Similarity was calculated with the Dice coefficient using parameter settings at 0.8% tolerance and 0.5% optimization. Patterns of 19 isolates from 8 outbreaks showed high similarity within each outbreak. Cluster analysis, as described here, provides insights into epidemiological tracing of tuberculosis in Chiba prefecture.
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Source |
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http://dx.doi.org/10.11150/kansenshogakuzasshi1970.79.672 | DOI Listing |
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