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The data parser extracts essential information from the input data by eliminating unnecessary data.
Post-processed data of different approaches, such as LC/ESI-MS, MALDI-MS and 2-DE gel electrophoresis were stored in SQL-LIMS™ by using a Java-based data parser.
When utilizing cloud computing architecture for intrusion detection, most cloud-based intrusion detection techniques are designed consisting of multiple components as data parser, data processing, data mapper and reducer.
By means of a Java based data parser, post-processed data of different approaches, such as LC/ESI-MS, MALDI-MS and 2-D gel electrophoresis (2-DE), were stored in SQL-LIMS.
This process is automated by the use of a configurable data downloader and data parser that comes with InterMine.
The database is currently populated with three parsers, namely, BioModels Database SBML parser, CellML parser, and KEGG FTP data parser.
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A pipeline consists of third-party tools, data parsers, and data transformations.
For disease and phenotype association, we created new classes and data parsers to retrieve the data from OMIM database [40] and human genome disease annotations [41].
The web pages and all data parsers are written in PHP and Perl, respectively.
In each of these cases different data parsers and methods for displaying results are required.
Cytoscape comes with various data parsers or filters that make it compatible with other tools.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com