Showing 1 - 3 results of 3 for search '"Darwinism"', query time: 0.03s Refine Results
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    Technology, Design and the Arts - Opportunities and Challenges

    Published 2020
    Table of Contents: “….: A Big Data Fishing Expedition -- Searching for New Aesthetics -- Interspecific Interactions -- Machine Vision -- Signs of Surveillance -- Section 4: Audio Visual Installations to Generate Collective Human Responses -- Coral Voices -- Cyberdreams -- Augmenting Virtual Spaces -- Section 5: The Convergence of Digital Design, the Arts, Computing and the Environment -- Chandinin -- Moving Image Installations -- Digital Naturalists -- Section 6: The Use of Virtual Reality and Augmented Reality to Extend Creativity, Reach and Engagement in the Arts -- VR Holography -- Darwin's Garden -- Interactive VR -- Section 7: The Future of Interdisciplinary Research -- Interdisciplinary R&D.…”
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    Electronic eBook
  3. 3

    Evolutionary Genomics Statistical and Computational Methods /

    Published 2019
    Table of Contents: “…Asexual Species -- Selection Acting on Genomes -- Looking for Darwin in Genomic Sequences: Validity and Success Depends on the Relationship between Model and Data -- Evolution of Viral Genomes: Interplay between Selection, Recombination, and Other Forces -- Evolution of Protein Domain Architectures -- New Insights on the Evolution of GenomeContent: Population Dynamics of Transposable Elements in Flies and Humans -- Association Mapping and Disease: Evolutionary Perspectives -- Ancestral Population Genomics -- Introduction to the Analysis of Environmental Sequences: Metagenomics with MEGAN -- Multiple Data Analyses and Statistical Approaches for Analyzing Data from Metagenomic Studies and Clinical Trials -- Systems Genetics for Evolutionary Studies -- Analyzing Epigenome Data in Context of Genome Evolution and Human Diseases -- Semantic Integration and Enrichment of Heterogeneous Biological Databases -- High-Performance Computing in Bayesian Phylogenetics and Phylodynamics Using BEAGLE -- Scalable Workflows and Reproducible Data Analysis for Genomics -- Sharing Programming Resources between Bio* Projects.…”
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    Electronic eBook