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 recent years, mass spectrometry has become the method of choice for high-sensitivity glycan identification. Currently, only a few tools assisting mass spectra interpretation are available. The web application GlycoFragment (www.dkfz.de/spec/projekte/fragments/) calculates all theoretically possible fragments of complex carbohydrates and aims to support the interpretation of mass spectra. GlycoSearchMS (www.dkfz.de/spec/glycosciences.de/sweetdb/ms/) compares each peak of a measured mass spectrum with the calculated fragments of all structures contained in the SweetDB database. The best-matching spectra and the associated structures are displayed in order of decreasing similarity. Since both algorithms work very efficiently, they are well suited to be used for automatic identification of series of mass spectra of complex carbohydrates.
Download full-text PDF |
Source |
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC441530 | PMC |
http://dx.doi.org/10.1093/nar/gkh392 | DOI Listing |
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