# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "openPrimeR" in publications use:' type: software license: GPL-2.0-only title: 'openPrimeR: Multiplex PCR Primer Design and Analysis' version: 1.27.0 abstract: An implementation of methods for designing, evaluating, and comparing primer sets for multiplex PCR. Primers are designed by solving a set cover problem such that the number of covered template sequences is maximized with the smallest possible set of primers. To guarantee that high-quality primers are generated, only primers fulfilling constraints on their physicochemical properties are selected. A Shiny app providing a user interface for the functionalities of this package is provided by the 'openPrimeRui' package. authors: - family-names: Döring given-names: Matthias email: matthias-doering@gmx.de - family-names: Pfeifer given-names: Nico email: pfeifer@informatik.uni-tuebingen.de preferred-citation: type: article title: openPrimeR for multiplex amplification of highly diverse templates authors: - family-names: Kreer given-names: Christoph - family-names: Döring given-names: Matthias email: matthias-doering@gmx.de - family-names: Lehnen given-names: Nathalie - family-names: Ercanoglu given-names: Meryem - family-names: Gieselmann given-names: Lutz - family-names: Luca given-names: Domnica - family-names: Jain given-names: Kanika - family-names: Schommers given-names: Philipp - family-names: Pfeifer given-names: Nico email: pfeifer@informatik.uni-tuebingen.de - family-names: Klein given-names: Florian journal: Journal of Immunological Methods year: '2020' publisher: name: Elsevier url: https://bioconductor.org/packages/release/bioc/html/openPrimeR.html start: '112752' repository: https://bioc.r-universe.dev contact: - family-names: Döring given-names: Matthias email: matthias-doering@gmx.de references: - type: article title: Modeling the Amplification of Immunoglobulins through Machine Learning on Sequence-Specific Features authors: - family-names: Döring given-names: Matthias - family-names: Kreer given-names: Christoph - family-names: Lehnen given-names: Nathalie - family-names: Klein given-names: Florian - family-names: Pfeifer given-names: Nico year: '2019' journal: Scientific Reports volume: '9' issue: '1' publisher: name: Nature Publishing Group start: '1' end: '11'