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Modeling of Gene Regulative Networks in Developmental Systems - Hohm, Tim
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Hohm, Tim:
Modeling of Gene Regulative Networks in Developmental Systems - Taschenbuch

3, ISBN: 3832289127

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1., Aufl. Paperback 164 S. Broschiert On their way from a fertilized egg to a fully grown organism, higher organisms run through a series of developmental stages. This development can be seen as a program that is stored in the genome of the organism and the execution of this program is determined by the genes regulating each other's activities. Up to now, the exact mechanisms for turning a one-dimensional genome into a fully three-dimensional organism remain hidden.Investigating the underlying processes, developmental biologists try to unveil these mechanisms but developmental systems constitute a difficult body of research: the regulative processes tend to be non-linear and commonly involve several genes simultaneously. At the same time, advances to register these processes experimentally are hampered by the fact that they not only depend on local information like a single cell's state at a given point in time but on spatial aspects as well, i.e., other cell's states. In result, the spatial component complicates experimental data acquisition in suitable resolution and the non-linearity of the regulative processes hampers intuitive interpretation of the available data. To aid data interpretation, mathematical models have become one of the key tools. They provide possibilities to formalize current knowledge, to validate hypotheses, and to assist in designing new experiments. ISBN 9783832289126 Gene Regulative Networks, Developmental Biology, Modeling, Parameter Estimation, Pattern Formation, GRN, met couverture neu, [PU:Shaker,]

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Modeling of Gene Regulative Networks in Developmental Systems - Tim Hohm
Vergriffenes Buch, derzeit bei uns nicht verfügbar.
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Tim Hohm:
Modeling of Gene Regulative Networks in Developmental Systems - Taschenbuch

ISBN: 9783832289126

[ED: Taschenbuch], [PU: Shaker Verlag], Neuware - On their way from a fertilized egg to a fully grown organism, higher organisms run through a series of developmental stages. This development can be seen as a program that is stored in the genome of the organism and the execution of this program is determined by the genes regulating each others activities. Up to now, the exact mechanisms for turning a one-dimensional genome into a fully three-dimensional organism remain hidden. Investigating the underlying processes, developmental biologists try to unveil these mechanisms but developmental systems constitute a difficult body of research: the regulative processes tend to be non-linear and commonly involve several genes simultaneously. At the same time, advances to register these processes experimentally are hampered by the fact that they not only depend on local information like a single cells state at a given point in time but on spatial aspects as well, i.e., other cells states. In result, the spatial component complicates experimental data acquisition in suitable resolution and the non-linearity of the regulative processes hampers intuitive interpretation of the available data. To aid data interpretation, mathematical models have become one of the key tools. They provide possibilities to formalize current knowledge, to validate hypotheses, and to assist in designing new experiments., DE, [SC: 0.00], Neuware, gewerbliches Angebot, 240x170x14 mm, 164, [GW: 298g], PayPal, Banküberweisung, Internationaler Versand

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Modeling of Gene Regulative Networks in Developmental Systems - Tim Hohm
Vergriffenes Buch, derzeit bei uns nicht verfügbar.
(*)
Tim Hohm:
Modeling of Gene Regulative Networks in Developmental Systems - Taschenbuch

ISBN: 9783832289126

[ED: Taschenbuch], [PU: Shaker Verlag], Neuware - On their way from a fertilized egg to a fully grown organism, higher organisms run through a series of developmental stages. This development can be seen as a program that is stored in the genome of the organism and the execution of this program is determined by the genes regulating each others activities. Up to now, the exact mechanisms for turning a one-dimensional genome into a fully three-dimensional organism remain hidden. Investigating the underlying processes, developmental biologists try to unveil these mechanisms but developmental systems constitute a difficult body of research: the regulative processes tend to be non-linear and commonly involve several genes simultaneously. At the same time, advances to register these processes experimentally are hampered by the fact that they not only depend on local information like a single cells state at a given point in time but on spatial aspects as well, i.e., other cells states. In result, the spatial component complicates experimental data acquisition in suitable resolution and the non-linearity of the regulative processes hampers intuitive interpretation of the available data. To aid data interpretation, mathematical models have become one of the key tools. They provide possibilities to formalize current knowledge, to validate hypotheses, and to assist in designing new experiments., DE, [SC: 0.00], Neuware, gewerbliches Angebot, 240x170x14 mm, 164, [GW: 298g], Banküberweisung, PayPal

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Modeling of Gene Regulative Networks in Developmental Systems - Tim Hohm
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Tim Hohm:
Modeling of Gene Regulative Networks in Developmental Systems - neues Buch

ISBN: 9783832289126

ID: d9e82599ce20484ac7a80f4a1b40e06f

On their way from a fertilized egg to a fully grown organism, higher organisms run through a series of developmental stages. This development can be seen as a program that is stored in the genome of the organism and the execution of this program is determined by the genes regulating each other`s activities. Up to now, the exact mechanisms for turning a one-dimensional genome into a fully three-dimensional organism remain hidden.Investigating the underlying processes, developmental biologists try to unveil these mechanisms but developmental systems constitute a difficult body of research: the regulative processes tend to be non-linear and commonly involve several genes simultaneously. At the same time, advances to register these processes experimentally are hampered by the fact that they not only depend on local information like a single cell`s state at a given point in time but on spatial aspects as well, i.e., other cell`s states. In result, the spatial component complicates experimental data acquisition in suitable resolution and the non-linearity of the regulative processes hampers intuitive interpretation of the available data. To aid data interpretation, mathematical models have become one of the key tools. They provide possibilities to formalize current knowledge, to validate hypotheses, and to assist in designing new experiments. Bücher / Naturwissenschaften, Medizin, Informatik & Technik / Informatik & EDV / Informatik, [PU: Shaker Verlag, Aachen]

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Modeling of Gene Regulative Networks in Developmental Systems - Tim Hohm
Vergriffenes Buch, derzeit bei uns nicht verfügbar.
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Tim Hohm:
Modeling of Gene Regulative Networks in Developmental Systems - Taschenbuch

2010, ISBN: 3832289127

ID: 17030064212

[EAN: 9783832289126], Neubuch, [SC: 30.76], [PU: Shaker Verlag Mrz 2010], Neuware - On their way from a fertilized egg to a fully grown organism, higher organisms run through a series of developmental stages. This development can be seen as a program that is stored in the genome of the organism and the execution of this program is determined by the genes regulating each other`s activities. Up to now, the exact mechanisms for turning a one-dimensional genome into a fully three-dimensional organism remain hidden. Investigating the underlying processes, developmental biologists try to unveil these mechanisms but developmental systems constitute a difficult body of research: the regulative processes tend to be non-linear and commonly involve several genes simultaneously. At the same time, advances to register these processes experimentally are hampered by the fact that they not only depend on local information like a single cell`s state at a given point in time but on spatial aspects as well, i.e., other cell`s states. In result, the spatial component complicates experimental data acquisition in suitable resolution and the non-linearity of the regulative processes hampers intuitive interpretation of the available data. To aid data interpretation, mathematical models have become one of the key tools. They provide possibilities to formalize current knowledge, to validate hypotheses, and to assist in designing new experiments. 164 pp. Englisch

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