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ms-data-core-api: an open-source, metadata-oriented library for computational proteomics
Author(s) -
Yasset PérezRiverol,
Julian Uszkoreit,
Aniel Sánchez,
Tobias Ternent,
Noemí delToro,
Henning Hermjakob,
Juan Antonio Vizcaíno,
Rui Wang
Publication year - 2015
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btv250
Subject(s) - computer science , xml , metadata , application programming interface , interface (matter) , software , java , database , file format , python (programming language) , data type , workflow , world wide web , information retrieval , programming language , operating system , bubble , maximum bubble pressure method
The ms-data-core-api is a free, open-source library for developing computational proteomics tools and pipelines. The Application Programming Interface, written in Java, enables rapid tool creation by providing a robust, pluggable programming interface and common data model. The data model is based on controlled vocabularies/ontologies and captures the whole range of data types included in common proteomics experimental workflows, going from spectra to peptide/protein identifications to quantitative results. The library contains readers for three of the most used Proteomics Standards Initiative standard file formats: mzML, mzIdentML, and mzTab. In addition to mzML, it also supports other common mass spectra data formats: dta, ms2, mgf, pkl, apl (text-based), mzXML and mzData (XML-based). Also, it can be used to read PRIDE XML, the original format used by the PRIDE database, one of the world-leading proteomics resources. Finally, we present a set of algorithms and tools whose implementation illustrates the simplicity of developing applications using the library.

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