• Medientyp: E-Artikel
  • Titel: PyFDAP: automated analysis of fluorescence decay after photoconversion (FDAP) experiments
  • Beteiligte: Bläßle, Alexander; Müller, Patrick
  • Erschienen: Oxford University Press (OUP), 2015
  • Erschienen in: Bioinformatics, 31 (2015) 6, Seite 972-974
  • Sprache: Englisch
  • DOI: 10.1093/bioinformatics/btu735
  • ISSN: 1367-4811; 1367-4803
  • Schlagwörter: Computational Mathematics ; Computational Theory and Mathematics ; Computer Science Applications ; Molecular Biology ; Biochemistry ; Statistics and Probability
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  • Beschreibung: Abstract Summary: We developed the graphical user interface PyFDAP for the fitting of linear and non-linear decay functions to data from fluorescence decay after photoconversion (FDAP) experiments. PyFDAP structures and analyses large FDAP datasets and features multiple fitting and plotting options. Availability and implementation: PyFDAP was written in Python and runs on Ubuntu Linux, Mac OS X and Microsoft Windows operating systems. The software, a user guide and a test FDAP dataset are freely available for download from http://people.tuebingen.mpg.de/mueller-lab. Contact:  pmueller@tue.mpg.de Supplementary information:  Supplementary data are available at Bioinformatics online.
  • Zugangsstatus: Freier Zugang