Author : Sarah Barron
Publisher : DIANE Publishing
Page : 122 pages
File Size : 10,48 MB
Release : 1991
Category : Science
ISBN : 9780941375917
Provides a definitive bibliographic review of the literature related to DNA mapping and sequence analysis, with a focus on computer and mathematical aspects of molecular biology and genetics. Over 2200 entries, arranged by author's name.
Author : Srinivas Aluru
Publisher : Chapman and Hall/CRC
Page : 1104 pages
File Size : 47,14 MB
Release : 2005-12-21
Category : Science
ISBN : 9781584884064
The enormous complexity of biological systems at the molecular level must be answered with powerful computational methods. Computational biology is a young field, but has seen rapid growth and advancement over the past few decades. Surveying the progress made in this multidisciplinary field, the Handbook of Computational Molecular Biology offers comprehensive, systematic coverage of the various techniques and methodologies currently available. Accomplished researcher Srinivas Aluru leads a team of experts from around the world to produce this groundbreaking, authoritative reference. With discussions ranging from fundamental concepts to practical applications, this book details the algorithms necessary to solve novel problems and manage the massive amounts of data housed in biological databases throughout the world. Divided into eight sections for convenient searching, the handbook covers methods and algorithms for sequence alignment, string data structures, sequence assembly and clustering, genome-scale computational methods in comparative genomics, evolutionary and phylogenetic trees, microarrays and gene expression analysis, computational methods in structural biology, and bioinformatics databases and data mining. The Handbook of Computational Molecular Biology is the first resource to integrate coverage of the broad spectrum of topics in computational biology and bioinformatics. It supplies a quick-reference guide for easy implementation and provides a strong foundation for future discoveries in the field.
Author : Michael S. Waterman
Publisher : CRC Press
Page : 456 pages
File Size : 41,76 MB
Release : 2018-05-02
Category : Mathematics
ISBN : 1351437089
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.
Author : Ziheng Yang
Publisher : Oxford University Press, USA
Page : 374 pages
File Size : 24,86 MB
Release : 2006-10-05
Category : Medical
ISBN : 0198566999
This book describes the models, methods and algorithms that are most useful for analysing the ever-increasing supply of molecular sequence data, with a view to furthering our understanding of the evolution of genes and genomes.
Author : Bernhard Schölkopf
Publisher : MIT Press
Page : 428 pages
File Size : 23,77 MB
Release : 2004
Category : Computers
ISBN : 9780262195096
A detailed overview of current research in kernel methods and their application to computational biology.
Author : Gautam B. Singh
Publisher : Springer
Page : 345 pages
File Size : 44,17 MB
Release : 2014-09-24
Category : Technology & Engineering
ISBN : 3319114034
This book offers comprehensive coverage of all the core topics of bioinformatics, and includes practical examples completed using the MATLAB bioinformatics toolboxTM. It is primarily intended as a textbook for engineering and computer science students attending advanced undergraduate and graduate courses in bioinformatics and computational biology. The book develops bioinformatics concepts from the ground up, starting with an introductory chapter on molecular biology and genetics. This chapter will enable physical science students to fully understand and appreciate the ultimate goals of applying the principles of information technology to challenges in biological data management, sequence analysis, and systems biology. The first part of the book also includes a survey of existing biological databases, tools that have become essential in today’s biotechnology research. The second part of the book covers methodologies for retrieving biological information, including fundamental algorithms for sequence comparison, scoring, and determining evolutionary distance. The main focus of the third part is on modeling biological sequences and patterns as Markov chains. It presents key principles for analyzing and searching for sequences of significant motifs and biomarkers. The last part of the book, dedicated to systems biology, covers phylogenetic analysis and evolutionary tree computations, as well as gene expression analysis with microarrays. In brief, the book offers the ideal hands-on reference guide to the field of bioinformatics and computational biology.
Author : Nataša Pržulj
Publisher : Cambridge University Press
Page : 647 pages
File Size : 37,44 MB
Release : 2019-03-28
Category : Language Arts & Disciplines
ISBN : 1108432239
Introduces biological concepts and biotechnologies producing the data, graph and network theory, cluster analysis and machine learning, using real-world biological and medical examples.
Author :
Publisher :
Page : 0 pages
File Size : 44,29 MB
Release : 2002
Category : Cells
ISBN : 9780815332183
Author : Mourad Elloumi
Publisher : John Wiley & Sons
Page : 1027 pages
File Size : 36,57 MB
Release : 2011-04-04
Category : Science
ISBN : 1118101987
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.
Author : Basant K. Tiwary
Publisher : Springer Nature
Page : 239 pages
File Size : 34,97 MB
Release : 2021-11-23
Category : Medical
ISBN : 9811642419
This textbook introduces fundamental concepts of bioinformatics and computational biology to the students and researchers in biology, medicine, veterinary science, agriculture, and bioengineering . The respective chapters provide detailed information on biological databases, sequence alignment, molecular evolution, next-generation sequencing, systems biology, and statistical computing using R. The book also presents a case-based discussion on clinical, veterinary, agricultural bioinformatics, and computational bioengineering for application-based learning in the respective fields. Further, it offers readers guidance on reconstructing and analysing biological networks and highlights computational methods used in systems medicine and genome-wide association mapping of diseases. Given its scope, this textbook offers an essential introductory book on bioinformatics and computational biology for undergraduate and graduate students in the life sciences, botany, zoology, physiology, biotechnology, bioinformatics, and genomic science as well as systems biology, bioengineering and the agricultural, and veterinary sciences.
