Show simple item record

dc.contributor.authorRöst, HLen_US
dc.contributor.authorSachsenberg, Ten_US
dc.contributor.authorAiche, Sen_US
dc.contributor.authorBielow, Cen_US
dc.contributor.authorWeisser, Hen_US
dc.contributor.authorAicheler, Fen_US
dc.contributor.authorAndreotti, Sen_US
dc.contributor.authorEhrlich, H-Cen_US
dc.contributor.authorGutenbrunner, Pen_US
dc.contributor.authorKenar, Een_US
dc.contributor.authorLiang, Xen_US
dc.contributor.authorNahnsen, Sen_US
dc.contributor.authorNilse, Len_US
dc.contributor.authorPfeuffer, Jen_US
dc.contributor.authorRosenberger, Gen_US
dc.contributor.authorRurik, Men_US
dc.contributor.authorSchmitt, Uen_US
dc.contributor.authorVeit, Jen_US
dc.contributor.authorWalzer, Men_US
dc.contributor.authorWojnar, Den_US
dc.contributor.authorWolski, WEen_US
dc.contributor.authorSchilling, Oen_US
dc.contributor.authorChoudhary, JSen_US
dc.contributor.authorMalmström, Len_US
dc.contributor.authorAebersold, Ren_US
dc.contributor.authorReinert, Ken_US
dc.contributor.authorKohlbacher, Oen_US
dc.date.accessioned2020-10-16T09:33:54Z
dc.date.issued2016-08en_US
dc.identifier.citationNature methods, 2016, 13 (9), pp. 741 - 748en_US
dc.identifier.issn1548-7091en_US
dc.identifier.urihttps://repository.icr.ac.uk/handle/internal/4173
dc.identifier.eissn1548-7105en_US
dc.identifier.doi10.1038/nmeth.3959en_US
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.en_US
dc.formatPrinten_US
dc.format.extent741 - 748en_US
dc.languageengen_US
dc.language.isoengen_US
dc.rights.urihttp://www.rioxx.net/licenses/all-rights-reserveden_US
dc.subjectHumansen_US
dc.subjectBlood Proteinsen_US
dc.subjectProteomicsen_US
dc.subjectComputational Biologyen_US
dc.subjectAgingen_US
dc.subjectAutomatic Data Processingen_US
dc.subjectSoftwareen_US
dc.subjectMass Spectrometryen_US
dc.subjectWorkflowen_US
dc.subjectMolecular Sequence Annotationen_US
dc.subjectProteogenomicsen_US
dc.titleOpenMS: a flexible open-source software platform for mass spectrometry data analysis.en_US
dc.typeJournal Article
dcterms.dateAccepted2016-06-27en_US
rioxxterms.versionofrecord10.1038/nmeth.3959en_US
rioxxterms.licenseref.startdate2016-08en_US
rioxxterms.typeJournal Article/Reviewen_US
dc.relation.isPartOfNature methodsen_US
pubs.issue9en_US
pubs.notesNot knownen_US
pubs.organisational-group/ICR
pubs.publication-statusPublisheden_US
pubs.volume13en_US
pubs.embargo.termsNot knownen_US
dc.contributor.icrauthorChoudhary, Jyotien_US


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record