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"Computational thinking is increasingly gaining importance in modern biology, due to the unprecedented scale at which data is nowadays produced. Bridging the cultural gap between the biological and computational sciences, this book serves as an accessible introduction to computational concepts for students in the life sciences. It focuses on teaching algorithmic and logical thinking, rather than just the use of existing bioinformatics tools or programming. Topics are presented from a biological point of view, to demonstrate how computational approaches can be used to solve problems in biology such as biological image processing, regulatory networks, and sequence analysis. The book contains a range of pedagogical features to aid understanding, including real-world examples, in-text exercises, end-of-chapter problems, colour-coded Python code, and 'code explained' boxes. User-friendly throughout, Computational Thinking for Life Scientists promotes the thinking skills and self-efficacy required for any modern biologist to adopt computational approaches in their research with confidence"--
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Biometry --- Biology --- Biométrie --- Biologie --- Data processing --- Informatique --- S-Plus --- Biomathematics. Biometry. Biostatistics --- Mathematical statistics --- Biology - Data processing --- Biologie - Informatique
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Molecular biology --- Computer. Automation --- Bioinformatics --- Biologie moléculaire --- Bio-informatique --- Data processing --- Informatique --- Biologie moléculaire --- Data processing. --- Molecular biology - Data processing
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Biology --- Biochemistry --- Data processing --- Biological chemistry --- Chemical composition of organisms --- Organisms --- Physiological chemistry --- Chemistry --- Medical sciences --- Composition --- Biology - Data processing --- Biochemistry - Data processing
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Biomathematics. Biometry. Biostatistics --- Computer. Automation --- General embryology. Developmental biology --- Developmental biology --- Data processing --- Simulation methods --- Biological models. --- Data processing. --- Simulation methods. --- Developmental biology - Data processing --- Developmental biology - Simulation methods
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57.087 --- 57.087 Methods and techniques for parameter estimation. Recording of biological data --- Methods and techniques for parameter estimation. Recording of biological data --- Biology --- Biometry --- R (Computer program language) --- Data processing --- Biology - Data processing --- Biometry - Data processing
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Molecular biology --- Computer. Automation --- Bioinformatics --- Data processing --- bioinformatica --- internet --- genoom --- database --- pcr (polymerase chain reaction) --- dna --- fylogenetica --- Contains audio-visual material --- Molecular biochemistry --- Molecular biophysics --- Biochemistry --- Biophysics --- Biomolecules --- Systems biology --- Bio-informatics --- Biological informatics --- Biology --- Information science --- Computational biology --- Computational biology. --- Molecular biology - Data processing
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Bioinformatics. --- Biology -- Data processing. --- Computational biology. --- Electronic books. -- local. --- Bioinformatics --- Computational biology --- Biology --- Biological Science Disciplines --- Natural Science Disciplines --- Disciplines and Occupations --- Computational Biology --- Health & Biological Sciences --- Biology - General --- Data processing --- Data processing. --- Bio-informatics --- Biological informatics --- Information science --- Systems biology
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Bioinformatics. --- Molecular biology --- Biomolecules --- Computational Biology. --- Medical Informatics. --- Molecular Biology --- Proteins --- Sequence Analysis. --- Data processing. --- methods. --- analysis. --- Biology --- Bioinformatics --- Biologie --- Biomolécules --- Bio-informatique --- Data processing --- Informatique --- Stochastic processes --- Computer. Automation --- Molecular biology - Data processing. --- Biomolecules - Data processing. --- Molecular Biology - methods. --- Proteins - analysis. --- Computational Biology --- Sequence Analysis --- methods --- analysis
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The book provides an undergraduate (final year) introduction to bioinformatics focussing on two key areas, genomics and protein sequence analysis. It provides an overview of primary, composite and secondary databases, and gives a brief introduction to the Internet and the world wide web.
Molecular biology --- Computer. Automation --- Bioinformatics --- Bio-informatique --- Biologie moléculaire --- Data processing --- Informatique --- Gene mapping --- Data processing. --- Biologie moléculaire --- Basic Sciences. Bioinformatics -- Bioinformatics (General) --- ALLW. --- 57.087 --- 57.087 Methods and techniques for parameter estimation. Recording of biological data --- Methods and techniques for parameter estimation. Recording of biological data --- Molecular biochemistry --- Molecular biophysics --- Biochemistry --- Biophysics --- Biomolecules --- Systems biology --- Molecular biology - Data processing. --- Gene mapping - Data processing. --- Basic Sciences. Bioinformatics -- Bioinformatics (General). --- Computational Biology
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