Data Integration, Manipulation and Visualization of Phylogenetic Trees introduces and demonstrates data integration, manipulation and visualization of phylogenetic trees using a suite of R packages, tidytree, treeio, ggtree and ggtreeExtra. Using the most comprehensive packages for phylogenetic data integration and visualization, contains numerous examples that can be used for teaching and learning. Ideal for undergraduate readers and researchers with a working knowledge of R and ggplot2.
Key Features:
Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.
Guangchuang Yu is a professor of bioinformatics, director of the Department of Bioinformatics, Southern Medical University. He earned his Ph.D. from the School of Public Health, The University of Hong Kong. As an active R user, he has authored several R packages and has supervised post-graduate students to develop a few other packages, including ggmsa, ggtreeExtra, MicrobiomeProfiler and MicrobiotaProcess.
„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.
Anbieter: Majestic Books, Hounslow, Vereinigtes Königreich
Zustand: New. pp. 255. Artikel-Nr. 402582366
Anzahl: 3 verfügbar
Anbieter: moluna, Greven, Deutschland
Zustand: New. Guangchuang Yu is a professor of bioinformatics, director of the Department of Bioinformatics, Southern Medical University. He earned his Ph.D. from the School of Public Health, The University of Hong Kong. As an active R user, he has authored sev. Artikel-Nr. 593717745
Anzahl: Mehr als 20 verfügbar
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. Zustand: Neu. Neuware - Data Integration, Manipulation and Visualization of Phylogenetic Trees introduces and demonstrates data integration, manipulation and visualization of phylogenetic trees using a suite of R packages, tidytree, treeio, ggtree and ggtreeExtra. Using the most comprehensive packages for phylogenetic data integration and visualization, contains numerous examples that can be used for teaching and learning. Ideal for undergraduate readers and researchers with a working knowledge of R and ggplot2. Artikel-Nr. 9781032233574
Anzahl: 2 verfügbar