Algorithms In Bioinformatics

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Bioinformatics Algorithms

Author : Ion Mandoiu,Alexander Zelikovsky
Publisher : John Wiley & Sons
Page : 528 pages
File Size : 48,7 Mb
Release : 2008-02-25
Category : Computers
ISBN : 9780470097731

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Bioinformatics Algorithms by Ion Mandoiu,Alexander Zelikovsky Pdf

Presents algorithmic techniques for solving problems in bioinformatics, including applications that shed new light on molecular biology This book introduces algorithmic techniques in bioinformatics, emphasizing their application to solving novel problems in post-genomic molecular biology. Beginning with a thought-provoking discussion on the role of algorithms in twenty-first-century bioinformatics education, Bioinformatics Algorithms covers: General algorithmic techniques, including dynamic programming, graph-theoretical methods, hidden Markov models, the fast Fourier transform, seeding, and approximation algorithms Algorithms and tools for genome and sequence analysis, including formal and approximate models for gene clusters, advanced algorithms for non-overlapping local alignments and genome tilings, multiplex PCR primer set selection, and sequence/network motif finding Microarray design and analysis, including algorithms for microarray physical design, missing value imputation, and meta-analysis of gene expression data Algorithmic issues arising in the analysis of genetic variation across human population, including computational inference of haplotypes from genotype data and disease association search in case/control epidemiologic studies Algorithmic approaches in structural and systems biology, including topological and structural classification in biochemistry, and prediction of protein-protein and domain-domain interactions Each chapter begins with a self-contained introduction to a computational problem; continues with a brief review of the existing literature on the subject and an in-depth description of recent algorithmic and methodological developments; and concludes with a brief experimental study and a discussion of open research challenges. This clear and approachable presentation makes the book appropriate for researchers, practitioners, and graduate students alike.

Bioinformatics Algorithms

Author : Phillip Compeau,Pavel Pevzner
Publisher : Unknown
Page : 128 pages
File Size : 50,8 Mb
Release : 1986-06
Category : Electronic
ISBN : 0990374637

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Bioinformatics Algorithms by Phillip Compeau,Pavel Pevzner Pdf

Bioinformatics Algorithms: an Active Learning Approach is one of the first textbooks to emerge from the recent Massive Online Open Course (MOOC) revolution. A light-hearted and analogy-filled companion to the authors' acclaimed online course (http://coursera.org/course/bioinformatics), this book presents students with a dynamic approach to learning bioinformatics. It strikes a unique balance between practical challenges in modern biology and fundamental algorithmic ideas, thus capturing the interest of students of biology and computer science students alike.Each chapter begins with a central biological question, such as "Are There Fragile Regions in the Human Genome?" or "Which DNA Patterns Play the Role of Molecular Clocks?" and then steadily develops the algorithmic sophistication required to answer this question. Hundreds of exercises are incorporated directly into the text as soon as they are needed; readers can test their knowledge through automated coding challenges on Rosalind (http://rosalind.info), an online platform for learning bioinformatics.The textbook website (http://bioinformaticsalgorithms.org) directs readers toward additional educational materials, including video lectures and PowerPoint slides.

Algorithms in Bioinformatics

Author : Wing-Kin Sung
Publisher : CRC Press
Page : 408 pages
File Size : 54,6 Mb
Release : 2009-11-24
Category : Computers
ISBN : 9781420070347

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Algorithms in Bioinformatics by Wing-Kin Sung Pdf

Thoroughly Describes Biological Applications, Computational Problems, and Various Algorithmic Solutions Developed from the author's own teaching material, Algorithms in Bioinformatics: A Practical Introduction provides an in-depth introduction to the algorithmic techniques applied in bioinformatics. For each topic, the author clearly details the bi

An Introduction to Bioinformatics Algorithms

Author : Neil C. Jones,Pavel A. Pevzner
Publisher : MIT Press
Page : 460 pages
File Size : 49,8 Mb
Release : 2004-08-06
Category : Computers
ISBN : 0262101068

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An Introduction to Bioinformatics Algorithms by Neil C. Jones,Pavel A. Pevzner Pdf

An introductory text that emphasizes the underlying algorithmic ideas that are driving advances in bioinformatics. This introductory text offers a clear exposition of the algorithmic principles driving advances in bioinformatics. Accessible to students in both biology and computer science, it strikes a unique balance between rigorous mathematics and practical techniques, emphasizing the ideas underlying algorithms rather than offering a collection of apparently unrelated problems. The book introduces biological and algorithmic ideas together, linking issues in computer science to biology and thus capturing the interest of students in both subjects. It demonstrates that relatively few design techniques can be used to solve a large number of practical problems in biology, and presents this material intuitively. An Introduction to Bioinformatics Algorithms is one of the first books on bioinformatics that can be used by students at an undergraduate level. It includes a dual table of contents, organized by algorithmic idea and biological idea; discussions of biologically relevant problems, including a detailed problem formulation and one or more solutions for each; and brief biographical sketches of leading figures in the field. These interesting vignettes offer students a glimpse of the inspirations and motivations for real work in bioinformatics, making the concepts presented in the text more concrete and the techniques more approachable.PowerPoint presentations, practical bioinformatics problems, sample code, diagrams, demonstrations, and other materials can be found at the Author's website.

Bioinformatics Algorithms

Author : Miguel Rocha,Pedro G. Ferreira
Publisher : Academic Press
Page : 402 pages
File Size : 47,7 Mb
Release : 2018-06-08
Category : Technology & Engineering
ISBN : 9780128125212

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Bioinformatics Algorithms by Miguel Rocha,Pedro G. Ferreira Pdf

Bioinformatics Algorithms: Design and Implementation in Python provides a comprehensive book on many of the most important bioinformatics problems, putting forward the best algorithms and showing how to implement them. The book focuses on the use of the Python programming language and its algorithms, which is quickly becoming the most popular language in the bioinformatics field. Readers will find the tools they need to improve their knowledge and skills with regard to algorithm development and implementation, and will also uncover prototypes of bioinformatics applications that demonstrate the main principles underlying real world applications. Presents an ideal text for bioinformatics students with little to no knowledge of computer programming Based on over 12 years of pedagogical materials used by the authors in their own classrooms Features a companion website with downloadable codes and runnable examples (such as using Jupyter Notebooks) and exercises relating to the book

Algorithmic Aspects of Bioinformatics

Author : Hans-Joachim Böckenhauer,Dirk Bongartz
Publisher : Springer Science & Business Media
Page : 396 pages
File Size : 46,9 Mb
Release : 2007-06-06
Category : Science
ISBN : 9783540719137

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Algorithmic Aspects of Bioinformatics by Hans-Joachim Böckenhauer,Dirk Bongartz Pdf

This book introduces some key problems in bioinformatics, discusses the models used to formally describe these problems, and analyzes the algorithmic approaches used to solve them. After introducing the basics of molecular biology and algorithmics, Part I explains string algorithms and alignments; Part II details the field of physical mapping and DNA sequencing; and Part III examines the application of algorithmics to the analysis of biological data. Exciting application examples include predicting the spatial structure of proteins, and computing haplotypes from genotype data. Figures, chapter summaries, detailed derivations, and examples, are provided.

Pattern Discovery in Bioinformatics

Author : Laxmi Parida
Publisher : CRC Press
Page : 512 pages
File Size : 43,6 Mb
Release : 2007-07-04
Category : Computers
ISBN : 9781420010732

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Pattern Discovery in Bioinformatics by Laxmi Parida Pdf

The computational methods of bioinformatics are being used more and more to process the large volume of current biological data. Promoting an understanding of the underlying biology that produces this data, Pattern Discovery in Bioinformatics: Theory and Algorithms provides the tools to study regularities in biological data. Taking a systema

Algorithms in Bioinformatics

Author : Aaron Darling,Jens Stoye
Publisher : Springer
Page : 0 pages
File Size : 42,8 Mb
Release : 2013-08-23
Category : Computers
ISBN : 3642404529

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Algorithms in Bioinformatics by Aaron Darling,Jens Stoye Pdf

This book constitutes the refereed proceedings of the 13th International Workshop on Algorithms in Bioinformatics, WABI 2013, held in Sophia Antipolis, France, in September 2013. WABI 2013 is one of seven workshops which, along with the European Symposium on Algorithms (ESA), constitute the ALGO annual meeting and highlights research in algorithmic work for bioinformatics, computational biology and systems biology. The goal is to present recent research results, including significant work-in-progress, and to identify and explore directions of future research. The 27 full papers presented were carefully reviewed and selected from 61 submissions. The papers cover all aspects of algorithms in bioinformatics, computational biology and systems biology.

Genome-Scale Algorithm Design

Author : Veli Mäkinen,Djamal Belazzougui,Fabio Cunial,Alexandru I. Tomescu
Publisher : Cambridge University Press
Page : 470 pages
File Size : 52,9 Mb
Release : 2023-10-12
Category : Computers
ISBN : 9781009341219

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Genome-Scale Algorithm Design by Veli Mäkinen,Djamal Belazzougui,Fabio Cunial,Alexandru I. Tomescu Pdf

Guided by standard bioscience workflows in high-throughput sequencing analysis, this book for graduate students, researchers, and professionals in bioinformatics and computer science offers a unified presentation of genome-scale algorithms. This new edition covers the use of minimizers and other advanced data structures in pangenomics approaches.

Bioinformatics

Author : N. Gautham
Publisher : Alpha Science Int'l Ltd.
Page : 268 pages
File Size : 41,9 Mb
Release : 2006
Category : Science
ISBN : 1842653008

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Bioinformatics by N. Gautham Pdf

This text features detailed descriptions of methods of bio molecular sequence and structure analyses of interest to students and practitioners of bioinformatics both in the corporate and academic sectors.

Structural Bioinformatics

Author : Forbes J. Burkowski
Publisher : CRC Press
Page : 429 pages
File Size : 42,7 Mb
Release : 2008-10-30
Category : Science
ISBN : 9781420011791

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Structural Bioinformatics by Forbes J. Burkowski Pdf

The Beauty of Protein Structures and the Mathematics behind Structural Bioinformatics Providing the framework for a one-semester undergraduate course, Structural Bioinformatics: An Algorithmic Approach shows how to apply key algorithms to solve problems related to macromolecular structure. Helps Students Go Further in Their Study of Structural Biology Following some introductory material in the first few chapters, the text solves the longest common subsequence problem using dynamic programming and explains the science models for the Nussinov and MFOLD algorithms. It then reviews sequence alignment, along with the basic mathematical calculations needed for measuring the geometric properties of macromolecules. After looking at how coordinate transformations facilitate the translation and rotation of molecules in a 3D space, the author introduces structural comparison techniques, superposition algorithms, and algorithms that compare relationships within a protein. The final chapter explores how regression and classification are becoming more useful in protein analysis and drug design. At the Crossroads of Biology, Mathematics, and Computer Science Connecting biology, mathematics, and computer science, this practical text presents various bioinformatics topics and problems within a scientific methodology that emphasizes nature (the source of empirical observations), science (the mathematical modeling of the natural process), and computation (the science of calculating predictions and mathematical objects based on mathematical models).

Algorithms for Computational Biology

Author : Daniel Figueiredo,Carlos Martín-Vide,Diogo Pratas,Miguel A. Vega-Rodríguez
Publisher : Springer
Page : 184 pages
File Size : 54,5 Mb
Release : 2017-05-26
Category : Computers
ISBN : 9783319581637

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Algorithms for Computational Biology by Daniel Figueiredo,Carlos Martín-Vide,Diogo Pratas,Miguel A. Vega-Rodríguez Pdf

This book constitutes the proceedings of the 4th InternationalConference on Algorithms for Computational Biology, AlCoB 2017, held in Aveiro, Portugal, in June 2017. The 10 full papers presented together with 2 invited papers were carefully reviewed and selected from 24 submissions. They are organized in the following topical sections: Graph Algorithms for Computational Biology; Phylogenetics; and Sequence Analysis and Other Biological Processes.

Algorithms in Bioinformatics

Author : Gary Benson,Roderic Page
Publisher : Springer Science & Business Media
Page : 539 pages
File Size : 40,9 Mb
Release : 2003-09-09
Category : Science
ISBN : 9783540200765

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Algorithms in Bioinformatics by Gary Benson,Roderic Page Pdf

This book constitutes the refereed proceedings of the Third International Workshop on Algorithms in Bioinformatics, WABI 2003, held in Budapest, Hungary, in September 2003. The 36 revised full papers presented were carefully reviewed and selected from 78 submissions. The papers are organized in topical sections on comparative genomics, database searching, gene finding and expression, genome mapping, pattern and motif discovery, phylogenetic analysis, polymorphism, protein structure, sequence alignment, and string algorithms.

Algorithms in Bioinformatics

Author : Philipp Bücher,Bernard M.E. Moret
Publisher : Springer Science & Business Media
Page : 412 pages
File Size : 54,9 Mb
Release : 2006-08-30
Category : Computers
ISBN : 9783540395836

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Algorithms in Bioinformatics by Philipp Bücher,Bernard M.E. Moret Pdf

Here are the refereed proceedings of the 6th International Workshop on Algorithms in Bioinformatics, WABI 2006, held in the course of the ALGO 2006 conference meetings. The book presents 36 revised full papers addressing all current issues of algorithms in bioinformatics, from mathematical tools to experimental studies of approximation algorithms and reports on significant computational analyses. For the first time, coverage extends to machine-learning approaches along with combinatorial optimization.

Algorithms in Bioinformatics

Author : Roderic Guigo,Dan Gusfield
Publisher : Springer
Page : 554 pages
File Size : 47,8 Mb
Release : 2003-06-30
Category : Computers
ISBN : 9783540457848

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Algorithms in Bioinformatics by Roderic Guigo,Dan Gusfield Pdf

We are pleased to present the proceedings of the Second Workshop on Al- rithms in Bioinformatics (WABI 2002), which took place on September 17-21, 2002 in Rome, Italy. The WABI workshop was part of a three-conference me- ing, which, in addition to WABI, included the ESA and APPROX 2002. The three conferences are jointly called ALGO 2002, and were hosted by the F- ulty of Engineering, University of Rome “La Sapienza”. Seehttp://www.dis. uniroma1.it/ ̃algo02 for more details. The Workshop on Algorithms in Bioinformatics covers research in all areas of algorithmic work in bioinformatics and computational biology. The emphasis is on discrete algorithms that address important problems in molecular biology, genomics,andgenetics,thatarefoundedonsoundmodels,thatarecomputati- ally e?cient, and that have been implemented and tested in simulations and on real datasets. The goal is to present recent research results, including signi?cant work in progress, and to identify and explore directions of future research. Original research papers (including signi?cant work in progress) or sta- of-the-art surveys were solicited on all aspects of algorithms in bioinformatics, including, but not limited to: exact and approximate algorithms for genomics, genetics, sequence analysis, gene and signal recognition, alignment, molecular evolution, phylogenetics, structure determination or prediction, gene expression and gene networks, proteomics, functional genomics, and drug design.