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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Structural variants are of major importance in cancer genetics. Especially when it comes to the detection of complex structural variants as in chromoanagenesis, detection tools like array-CGH, karyotyping, or even whole-genome sequencing do not provide the necessary resolution and/or accuracy. Here, we present a novel structural variant (SV) detection workflow that integrates genomic DNA (gDNA) long-read sequencing and Hi-C sequencing. With this workflow, high-confident SV calling at very high resolution can be archived. Applying it to a cohort of acute myeloid leukemia (AML) with a complex karyotype led to new insights about the actual complexity of chromoanagenesis and can enhance subsequent functional studies of the underlying pathomechanisms.
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http://dx.doi.org/10.1007/978-1-0716-4750-9_9 | DOI Listing |