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Cytology --- Neurobiology --- Microcomputers --- Data processing --- Microcomputers. --- Data processing. --- Cytology - Data processing --- Neurobiology - Data processing
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The biological sciences are now in the midst of a true life sciences revolution akin to what physics experienced just after the turn of the last century. We are now in a phase of unparalleled growth that is reflected by the amount of data generated from each experiment. At the time of this writing, the rate of data acquisition was approaching 2 terabytes over the course of 5 days with first pass analysis proceeding over the following 2-3 week period. This fundamental shift has provided unprecedented opportunities that for the first time afford us the ability, i.e., means, breadth, and depth of data, to truly address human biology at the systems level. This wealth of information from seemingly disparate datasets and its integration is being realized through bioinformatics. It is with this philosophy that the text Bioinformatics for Systems Biology was born. This revolution has spawned true personalized medicine that encompasses diagnostics and treatment through to cure. For the physical and computer scientist, this text provides an introduction to the basic biological principles governing a cell. This quickly moves from the fundamentals to exploring the underlying genetic processes. While providing a rudimentary and necessary overview for the life scientist, the physical and computer scientist will be apprised of various nuances within the field reflecting the reality of "wet-bench" science. For those in the life sciences, it I rapidly becoming appreciated that we now progressing from examining our favorite "pet" gene to the system. Statistics is now an essential component to understand the vast datasets and this is emphasized throughout the text. The majority of the text is devoted to the common ground that these groups share. It provides rich examples of tools, databases, and strategies to mine the databases to reveal novel insights. A host of examples of parsing the data into a series of overlays that use various presentation systems are reviewed. The goal is to provide a representation most comfortable to the user to enable the user to thoroughly explore the data. The text concludes with examples of how the systems information is used to inform personalized medicine in a true "bench to bedside" manner. Bioinformatics for Systems Biology bridges and unifies many disciplines. It presents the life scientist, computational biologist, and mathematician with a common framework. Only by linking the groups together may the true life sciences revolution move forward in the mostly uncharted and emerging field of Systems Biology.
Bioinformatics. --- Computational biology. --- Cytology -- Data processing. --- Systems biology. --- Bioinformatics --- Computational biology --- Cytology --- 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 --- Life sciences. --- Life Sciences. --- Information science --- Systems biology
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Molecular biology --- Cytology --- Models, Biological --- Molecular Biology --- Models, Structural --- Mathematics --- Biologie moléculaire --- Cytologie --- Mathematical models --- Data processing --- Modèles mathématiques --- Informatique --- Models, Structural. --- Human biochemistry --- Models, Biological. --- Molecular Biology. --- Mathematics. --- Cell biology --- Cellular biology --- Biology --- Cells --- Cytologists --- Molecular biochemistry --- Molecular biophysics --- Biochemistry --- Biophysics --- Biomolecules --- Systems biology --- Data processing. --- Mathematical models. --- Molecular biology - Mathematical models --- Cytology - Mathematical models --- Molecular biology - Data processing --- Cytology - Data processing --- Molecular biology. --- Cytology. --- Biological models. --- Biologie moléculaire --- Modèles mathématiques. --- Informatique.
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La malattia tumorale può essere avvicinata con l’obiettivo di uccidere le cellule malate oppure con quello di far fare loro a ritroso la strada che porta da uno stato di equilibrio naturale alla malattia. Questo libro racconta una ricerca originale dell’autore ispirata a questa visione biologica del cancro, ricerca che ha portato alla produzione e all’utilizzo di prodotti antitumorali. Inevitabilmente, la storia della ricerca scivola in una visione del mondo e della vita che presenta i tratti di una documentata critica ai valori e alle priorità che caratterizzano il mondo in cui viviamo. Un libro profondo e umano, che fa pensare, che fa sperare.
Popular Science. --- Popular Science in Medicine and Health. --- Oncology. --- Internal Medicine. --- Science (General). --- Internal medicine. --- Medicine. --- Médecine interne --- Cancérologie --- Médecine --- Cancer cells. --- Cancer. --- Clinical medicine -- Handbooks, manuals, etc. --- Cytology -- Data processing. --- Diseases --- Behavior --- Behavior and Behavior Mechanisms --- Psychiatry and Psychology --- Personal Satisfaction --- Neoplasms --- Medicine --- Health & Biological Sciences --- Oncology --- Tumors. --- Tumours --- Cancers --- Carcinoma --- Malignancy (Cancer) --- Malignant tumors --- Popular works. --- Health. --- Tumors --- Pathology --- Cysts (Pathology) --- Oncology . --- Medicine, Internal --- Clinical sciences --- Medical profession --- Human biology --- Life sciences --- Medical sciences --- Physicians --- Health Workforce --- Medicine . --- Personal health --- Wellness --- Physiology --- Holistic medicine --- Hygiene --- Well-being
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