Explore the latest books of this year!
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Röbbe Wünschiers

    Gentechnik
    Generation Gen-Schere
    Allgemeinbildung Gene, Genetik und Gentechnik für Dummies
    Genetic Engineering
    Genes, Genomes and Society
    Computational biology
    • 2021

      Genes, Genomes and Society

      From Farming to Gene Editing and Beyond

      • 288 pages
      • 11 hours of reading

      Exploring the transformative potential of CRISPR/Cas gene editing, this book delves into the ethical and practical implications of genetic engineering. It raises critical questions about the future direction of this powerful technology and its impact on society, health, and the environment. Through a thoughtful examination, it encourages readers to consider the responsibilities that come with such advancements and the moral dilemmas that may arise as we navigate this new frontier in genetics.

      Genes, Genomes and Society
    • 2021

      Genetic Engineering

      Reading, Writing and Editing Genes

      • 52 pages
      • 2 hours of reading

      Focusing on the implications of genetic engineering, this essential guide encourages a deeper public discourse on its impact across various fields. It highlights advancements like the chemical production of viral and bacterial genetic material and the ethical dilemmas of genetic surgery in treating hereditary diseases. The book also explores the vast information derived from human genetic analysis, prompting critical questions about the responsible use of such knowledge. It emphasizes that the conversation should shift from whether to embrace genetic engineering to how we should apply it.

      Genetic Engineering
    • 2004

      Computational biology

      • 283 pages
      • 10 hours of reading

      -Teaches the reader how to use Unix, which is the key to basic computing and allows the most flexibility for bioinformatics applications -Written specifically with the needs of molecular biologists in mind -Easy to follow, written for beginners with no computational knowledge -Includes examples from biological data analysis -Can be use either for self-teaching or in courses

      Computational biology