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dc.contributor.authorRöst, HL
dc.contributor.authorSachsenberg, T
dc.contributor.authorAiche, S
dc.contributor.authorBielow, C
dc.contributor.authorWeisser, H
dc.contributor.authorAicheler, F
dc.contributor.authorAndreotti, S
dc.contributor.authorEhrlich, H-C
dc.contributor.authorGutenbrunner, P
dc.contributor.authorKenar, E
dc.contributor.authorLiang, X
dc.contributor.authorNahnsen, S
dc.contributor.authorNilse, L
dc.contributor.authorPfeuffer, J
dc.contributor.authorRosenberger, G
dc.contributor.authorRurik, M
dc.contributor.authorSchmitt, U
dc.contributor.authorVeit, J
dc.contributor.authorWalzer, M
dc.contributor.authorWojnar, D
dc.contributor.authorWolski, WE
dc.contributor.authorSchilling, O
dc.contributor.authorChoudhary, JS
dc.contributor.authorMalmström, L
dc.contributor.authorAebersold, R
dc.contributor.authorReinert, K
dc.contributor.authorKohlbacher, O
dc.date.accessioned2020-10-16T09:33:54Z
dc.date.issued2016-08-30
dc.identifier.citationNature methods, 2016, 13 (9), pp. 741 - 748
dc.identifier.issn1548-7091
dc.identifier.urihttps://repository.icr.ac.uk/handle/internal/4173
dc.identifier.eissn1548-7105
dc.identifier.doi10.1038/nmeth.3959
dc.description.abstractHigh-resolution mass spectrometry (MS) has become an important tool in the life sciences, contributing to the diagnosis and understanding of human diseases, elucidating biomolecular structural information and characterizing cellular signaling networks. However, the rapid growth in the volume and complexity of MS data makes transparent, accurate and reproducible analysis difficult. We present OpenMS 2.0 (http://www.openms.de), a robust, open-source, cross-platform software specifically designed for the flexible and reproducible analysis of high-throughput MS data. The extensible OpenMS software implements common mass spectrometric data processing tasks through a well-defined application programming interface in C++ and Python and through standardized open data formats. OpenMS additionally provides a set of 185 tools and ready-made workflows for common mass spectrometric data processing tasks, which enable users to perform complex quantitative mass spectrometric analyses with ease.
dc.formatPrint
dc.format.extent741 - 748
dc.languageeng
dc.language.isoeng
dc.publisherNATURE PORTFOLIO
dc.rights.urihttps://www.rioxx.net/licenses/all-rights-reserved
dc.subjectHumans
dc.subjectBlood Proteins
dc.subjectProteomics
dc.subjectComputational Biology
dc.subjectAging
dc.subjectSoftware
dc.subjectMass Spectrometry
dc.subjectWorkflow
dc.subjectMolecular Sequence Annotation
dc.subjectProteogenomics
dc.subjectElectronic Data Processing
dc.titleOpenMS: a flexible open-source software platform for mass spectrometry data analysis.
dc.typeJournal Article
dcterms.dateAccepted2016-06-27
rioxxterms.versionofrecord10.1038/nmeth.3959
rioxxterms.licenseref.urihttps://www.rioxx.net/licenses/all-rights-reserved
rioxxterms.licenseref.startdate2016-08
rioxxterms.typeJournal Article/Review
dc.relation.isPartOfNature methods
pubs.issue9
pubs.notesNot known
pubs.organisational-group/ICR
pubs.organisational-group/ICR
pubs.publication-statusPublished
pubs.volume13
pubs.embargo.termsNot known
dc.contributor.icrauthorChoudhary, Jyoti


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