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Titlebook: Nanopore-Based Technology; Maria E. Gracheva Book 2012 Springer Science+Business Media, LLC 2012 Artificial membranes.Biological nanopores

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發(fā)表于 2025-3-21 16:47:21 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Nanopore-Based Technology
編輯Maria E. Gracheva
視頻videohttp://file.papertrans.cn/661/660912/660912.mp4
概述Provides a good representation of present-day available techniques for biomolecule characterization with nanoporous membranes.Includes many step-by-step, easy to follow protocols.Features tips from th
叢書名稱Methods in Molecular Biology
圖書封面Titlebook: Nanopore-Based Technology;  Maria E. Gracheva Book 2012 Springer Science+Business Media, LLC 2012 Artificial membranes.Biological nanopores
描述.Nanopores are vital biological features, described as tiny holes in cellular membranes used for recognition and transport of ions and molecules between compartments within the cell, as well as between the extracellular environment and the cell itself. Their study, ever growing in esteem, leads toward the promise of ultra-fast sequencing of DNA molecules with the ultimate goal of building a nanoscale device that will make rapid and cheap DNA sequencing a reality.? In .Nanopore-Based Technology., expert researchers in the forefront of the field explore the cutting-edge of nanopore technology for single molecule sensing, detection, and characterization.? Divided into four convenient parts, this volume covers single molecule characterization techniques utilizing biological pores, methods for biomolecule characterization with nanoporous artificial membranes, computational studies of the biomolecule confined within the nanopore environment, as well as techniques that use novel materials in conjunction with nanopore sensing.? Written for the highly successful .Methods in Molecular Biology?. series, this work provides the kind of detailed description and implementation advice that is cruc
出版日期Book 2012
關(guān)鍵詞Artificial membranes; Biological nanopores; Computer simulations; DNA sequencing; Nanopore technology; Na
版次1
doihttps://doi.org/10.1007/978-1-61779-773-6
isbn_softcover978-1-4939-5809-2
isbn_ebook978-1-61779-773-6Series ISSN 1064-3745 Series E-ISSN 1940-6029
issn_series 1064-3745
copyrightSpringer Science+Business Media, LLC 2012
The information of publication is updating

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determined only at run-time. For example, in the case of parallel addition in shared memory models, we intuitively understand that we should not add those inputs whose value is zero. A technique which exploits this idea, may beat the general lower bound for addition if the count of nonzero operants
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Ryan C. Rollings,David S. McNabb,Jiali Lidetermined only at run-time. For example, in the case of parallel addition in shared memory models, we intuitively understand that we should not add those inputs whose value is zero. A technique which exploits this idea, may beat the general lower bound for addition if the count of nonzero operants
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Alon Singer,Ben McNally,Ruby Dela Torre,Amit Mellerdetermined only at run-time. For example, in the case of parallel addition in shared memory models, we intuitively understand that we should not add those inputs whose value is zero. A technique which exploits this idea, may beat the general lower bound for addition if the count of nonzero operants
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Lorenz J. Steinbock,Ulrich F. Keyserficient solution of graph problems. The model is motivated by applications in CAD, and is based on a special form of a graph grammar. The above references contain polynomial time solutions for the hierarchical versions of many classical graph problems. However, there are also graph problems that can
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ficient solution of graph problems. The model is motivated by applications in CAD, and is based on a special form of a graph grammar. The above references contain polynomial time solutions for the hierarchical versions of many classical graph problems. However, there are also graph problems that can
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Massimiliano Di Ventra,Matt Krems,James Wilson,Yuriy V. Pershinficient solution of graph problems. The model is motivated by applications in CAD, and is based on a special form of a graph grammar. The above references contain polynomial time solutions for the hierarchical versions of many classical graph problems. However, there are also graph problems that can
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