Introduction To Computational Molecular Biology


Introduction To Computational Molecular Biology
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Introduction To Computational Molecular Biology


Introduction To Computational Molecular Biology
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Author : João Carlos Setubal
language : en
Publisher: Pws Publishing Company
Release Date : 1997

Introduction To Computational Molecular Biology written by João Carlos Setubal and has been published by Pws Publishing Company this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997 with Computers categories.


Basic concepts of molecular biology. Strings, graphs, and algorithms. Sequence comparasion and database search. Fragment assembly of DNA. Physical mapping of DNA. Phylogenetic trees. Genome rearrangements. Molecular structure prediction. epilogue: computing with DNA. Answers to selected exercises. References. index.



Introduction To Computational Molecular Biology


Introduction To Computational Molecular Biology
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Author : João Carlos Setubal
language : en
Publisher:
Release Date : 1997

Introduction To Computational Molecular Biology written by João Carlos Setubal and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997 with Molecular biology categories.




Computational Molecular Biology


Computational Molecular Biology
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Author : Peter Clote
language : en
Publisher: John Wiley & Sons
Release Date : 2000-10-03

Computational Molecular Biology written by Peter Clote and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000-10-03 with Computers categories.


Recently molecular biology has undergone unprecedented development generating vast quantities of data needing sophisticated computational methods for analysis, processing and archiving. This requirement has given birth to the truly interdisciplinary field of computational biology, or bioinformatics, a subject reliant on both theoretical and practical contributions from statistics, mathematics, computer science and biology. Provides the background mathematics required to understand why certain algorithms work Guides the reader through probability theory, entropy and combinatorial optimization In-depth coverage of molecular biology and protein structure prediction Includes several less familiar algorithms such as DNA segmentation, quartet puzzling and DNA strand separation prediction Includes class tested exercises useful for self-study Source code of programs available on a Web site Primarily aimed at advanced undergraduate and graduate students from bioniformatics, computer science, statistics, mathematics and the biological sciences, this text will also interest researchers from these fields.



Introduction To Computational Biology


Introduction To Computational Biology
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Author : Michael S. Waterman
language : en
Publisher: CRC Press
Release Date : 2018-05-02

Introduction To Computational Biology written by Michael S. Waterman and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-05-02 with Mathematics categories.


Biology is in the midst of a era yielding many significant discoveries and promising many more. Unique to this era is the exponential growth in the size of information-packed databases. Inspired by a pressing need to analyze that data, Introduction to Computational Biology explores a new area of expertise that emerged from this fertile field- the combination of biological and information sciences. This introduction describes the mathematical structure of biological data, especially from sequences and chromosomes. After a brief survey of molecular biology, it studies restriction maps of DNA, rough landmark maps of the underlying sequences, and clones and clone maps. It examines problems associated with reading DNA sequences and comparing sequences to finding common patterns. The author then considers that statistics of pattern counts in sequences, RNA secondary structure, and the inference of evolutionary history of related sequences. Introduction to Computational Biology exposes the reader to the fascinating structure of biological data and explains how to treat related combinatorial and statistical problems. Written to describe mathematical formulation and development, this book helps set the stage for even more, truly interdisciplinary work in biology.



Introduction To Computational Biology


Introduction To Computational Biology
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Author : Bernhard Haubold
language : en
Publisher: Springer Science & Business Media
Release Date : 2006-08-09

Introduction To Computational Biology written by Bernhard Haubold and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-08-09 with Science categories.


Written with the advanced undergraduate in mind, this book introduces into the field of Bioinformatics. The authors explain the computational and conceptional background to the analysis of large-scale sequence data. Many of the corresponding analysis methods are rooted in evolutionary thinking, which serves as a common thread throughout the book. The focus is on methods of comparative genomics and subjects covered include: alignments, gene finding, phylogeny, and the analysis of single nucleotide polymorphisms (SNPs). The volume contains exercises, questions & answers to selected problems.



Computational Molecular Biology


Computational Molecular Biology
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Author : Clote
language : en
Publisher: Halsted Press
Release Date : 2001-05

Computational Molecular Biology written by Clote and has been published by Halsted Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001-05 with categories.




Algorithms In Computational Molecular Biology


Algorithms In Computational Molecular Biology
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Author : Mourad Elloumi
language : en
Publisher: John Wiley & Sons
Release Date : 2011-04-04

Algorithms In Computational Molecular Biology written by Mourad Elloumi and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-04-04 with Science categories.


This book represents the most comprehensive and up-to-date collection of information on the topic of computational molecular biology. Bringing the most recent research into the forefront of discussion, Algorithms in Computational Molecular Biology studies the most important and useful algorithms currently being used in the field, and provides related problems. It also succeeds where other titles have failed, in offering a wide range of information from the introductory fundamentals right up to the latest, most advanced levels of study.



An Introduction To Computational Biochemistry


An Introduction To Computational Biochemistry
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Author : C. Stan Tsai
language : en
Publisher: John Wiley & Sons
Release Date : 2003-03-31

An Introduction To Computational Biochemistry written by C. Stan Tsai and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-03-31 with Science categories.


This comprehensive text offers a solid introduction to the biochemical principles and skills required for any researcher applying computational tools to practical problems in biochemistry. Each chapter includes an introduction to the topic, a review of the biological concepts involved, a discussion of the programming and applications used, key references, and problem sets and answers. Providing detailed coverage of biochemical structures, enzyme reactions, metabolic simulation, genomic and proteomic analyses, and molecular modeling, this is the perfect resource for students and researchers in biochemistry, bioinformatics, bioengineering and computational science.



Introduction To Computational Biology


Introduction To Computational Biology
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Author : Michael S. Waterman
language : en
Publisher: CRC Press
Release Date : 2018-05-02

Introduction To Computational Biology written by Michael S. Waterman and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-05-02 with Mathematics categories.


Biology is in the midst of a era yielding many significant discoveries and promising many more. Unique to this era is the exponential growth in the size of information-packed databases. Inspired by a pressing need to analyze that data, Introduction to Computational Biology explores a new area of expertise that emerged from this fertile field- the combination of biological and information sciences. This introduction describes the mathematical structure of biological data, especially from sequences and chromosomes. After a brief survey of molecular biology, it studies restriction maps of DNA, rough landmark maps of the underlying sequences, and clones and clone maps. It examines problems associated with reading DNA sequences and comparing sequences to finding common patterns. The author then considers that statistics of pattern counts in sequences, RNA secondary structure, and the inference of evolutionary history of related sequences. Introduction to Computational Biology exposes the reader to the fascinating structure of biological data and explains how to treat related combinatorial and statistical problems. Written to describe mathematical formulation and development, this book helps set the stage for even more, truly interdisciplinary work in biology.



An Introduction To Computational Systems Biology


An Introduction To Computational Systems Biology
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Author : Karthik Raman
language : en
Publisher: CRC Press
Release Date : 2021-05-30

An Introduction To Computational Systems Biology written by Karthik Raman and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-05-30 with Computers categories.


Emphasises a hands-on approach to modelling Strong emphasis on coding and software tools for systems biology Covers the entire spectrum of modelling, from static networks, to dynamic models Thoughtful exercises to test and enable student understanding of concepts Current chapters on exciting new developments like whole-cell modelling and community modelling