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Can I read Pooling Design and Nonadaptive Group Testing: Important Tools for DNA Sequencing (Series on Applied Mathematics) (Series on Applied Mathematics) on EtoBox?

Pooling Design and Nonadaptive Group Testing: Important Tools for DNA Sequencing (Series on Applied Mathematics) (Series on Applied Mathematics) by Ding-Zhu Du, Frank Kwang-Ming Hwang is a nonfiction available to read on EtoBox.

What is Pooling Design and Nonadaptive Group Testing: Important Tools for DNA Sequencing (Series on Applied Mathematics) (Series on Applied Mathematics) about?

Pooling designs have been widely used in various aspects of DNA sequencing. In biological applications, the well-studied mathematical problem called group testing shifts its focus to nonadaptive algorithms while the focus of traditional group testing is on sequential algorithms. Biological applications also bring forth new models not previously considered, such as the error-tolerant model, the complex model, and the inhibitor model. This book is the first attempt to collect all the significant research on pooling designs in one convenient place. The coverage includes many real biological applications such as clone library screening, contig sequencing, exon boundary finding and protein protein interaction detecting and introduces the mathematics behind it. Contents: Basic Theory on Separating Matrices; Deterministic Designs; Deterministic Designs from Partial Orders; Random Pooling Designs and Probabilistic Analysis; Pooling Designs on Complexes; Contig Sequencing; The Inhibitor Model; Hyperplane Designs; Non-Unique Probe Selection.

Who reads Pooling Design and Nonadaptive Group Testing: Important Tools for DNA Sequencing (Series on Applied Mathematics) (Series on Applied Mathematics)?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Ding-Zhu Du, Frank Kwang-Ming Hwang
Publisher
World Scientific Publishing Company; Wspc
Published
2006
Language
EN
ISBN
9781281924780
Category
nonfiction
Subjects
Mathematics, Technology, Science

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