# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "MetCirc" in publications use:' type: software license: GPL-3.0-or-later title: 'MetCirc: Navigating mass spectral similarity in high-resolution MS/MS metabolomics data metabolomics data' version: 1.35.0 abstract: MetCirc comprises a workflow to interactively explore high-resolution MS/MS metabolomics data. MetCirc uses the Spectra object infrastructure defined in the package Spectra that stores MS/MS spectra. MetCirc offers functionality to calculate similarity between precursors based on the normalised dot product, neutral losses or user-defined functions and visualise similarities in a circular layout. Within the interactive framework the user can annotate MS/MS features based on their similarity to (known) related MS/MS features. authors: - family-names: Naake given-names: Thomas email: thomasnaake@googlemail.com - family-names: Gaquerel given-names: Emmanuel email: emmanuel.gaquerel@ibmp-cnrs.unistra.fr preferred-citation: type: article title: 'MetCirc: navigating mass spectral similarity in high-resolution MS/MS metabolomics data' authors: - family-names: Naake given-names: Thomas email: thomasnaake@googlemail.com - family-names: Gaquerel given-names: Emmanuel email: emmanuel.gaquerel@ibmp-cnrs.unistra.fr journal: Bioinformatics year: '2017' volume: '33' start: 2419-2420 repository: https://bioc.r-universe.dev date-released: '2023-04-18' contact: - family-names: Naake given-names: Thomas email: thomasnaake@googlemail.com