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Author: Dan E. Krane
Publisher:
Published: 2003
Total Pages: 314
ISBN-13: 9780321190222
DOWNLOAD EBOOKCo-authored by a biologist and computer scientist, this book is designed to make bioinformatics useful to undergraduates and prepare them for more advanced work. It covers problems at the end of each chapter, which use real data to help students apply what they have learned from both a statistical and biological point of view.
Author: Dan E. Krane
Publisher: Pearson Education India
Published: 2002
Total Pages: 332
ISBN-13: 9788177587579
DOWNLOAD EBOOKAuthor: Dan E. Krane
Publisher:
Published: 2003
Total Pages: 314
ISBN-13: 9788129700445
DOWNLOAD EBOOKAuthor: S. Harisha
Publisher: I. K. International Pvt Ltd
Published: 2013-12-30
Total Pages: 266
ISBN-13: 8189866419
DOWNLOAD EBOOKBioinformatics is an upcoming discipline of Life Sciences. It is an integration of computer science, and mathematical and statistical methods to manage and analyze the biological data. The fundamental issues that directly impact an understanding of life at structural, functional and molecular level, and regulation of gene expression can be studied by using bioinformatics tools. The Fundamentals of Bioinformatics is a comprehensive book for undergraduates, postgraduates and research scholars, who urge to learn about theoretical as well as practical aspects of this upcoming field. This pioneering book provides up-to-date information on bioinformatics and emphasizes recent topics like drug design technology, pharmacogenomics, proteomics and genomics. The present textbook will be an asset to Life sciences and technology institutions, since it has been designed based on the prescribed syllabus of various Indian Universities and aboard, and cover all the important topics on Bioinformatics.
Author: Gautam B. Singh
Publisher: Springer
Published: 2014-09-24
Total Pages: 345
ISBN-13: 3319114034
DOWNLOAD EBOOKThis 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: Dan E. Krane
Publisher: Pearson
Published: 2002
Total Pages: 336
ISBN-13:
DOWNLOAD EBOOKInformation flows easily from one topic to the next, with enough detail to support the major concepts without overwhelming students."--BOOK JACKET.
Author: Basant K. Tiwary
Publisher: Springer Nature
Published: 2021-11-23
Total Pages: 239
ISBN-13: 9811642419
DOWNLOAD EBOOKThis 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.
Author: David S. Moss
Publisher: IOS Press
Published: 2005
Total Pages: 264
ISBN-13: 1586035398
DOWNLOAD EBOOKAuthor: Sushmita Mitra
Publisher: CRC Press
Published: 2008-06-05
Total Pages: 386
ISBN-13: 1420011782
DOWNLOAD EBOOKLucidly Integrates Current Activities Focusing on both fundamentals and recent advances, Introduction to Machine Learning and Bioinformatics presents an informative and accessible account of the ways in which these two increasingly intertwined areas relate to each other. Examines Connections between Machine Learning & Bioinformatics The book begins with a brief historical overview of the technological developments in biology. It then describes the main problems in bioinformatics and the fundamental concepts and algorithms of machine learning. After forming this foundation, the authors explore how machine learning techniques apply to bioinformatics problems, such as electron density map interpretation, biclustering, DNA sequence analysis, and tumor classification. They also include exercises at the end of some chapters and offer supplementary materials on their website. Explores How Machine Learning Techniques Can Help Solve Bioinformatics Problems Shedding light on aspects of both machine learning and bioinformatics, this text shows how the innovative tools and techniques of machine learning help extract knowledge from the deluge of information produced by today’s biological experiments.
Author: Supratim Choudhuri
Publisher: Elsevier
Published: 2014-05-09
Total Pages: 238
ISBN-13: 0124105106
DOWNLOAD EBOOKBioinformatics for Beginners: Genes, Genomes, Molecular Evolution, Databases and Analytical Tools provides a coherent and friendly treatment of bioinformatics for any student or scientist within biology who has not routinely performed bioinformatic analysis. The book discusses the relevant principles needed to understand the theoretical underpinnings of bioinformatic analysis and demonstrates, with examples, targeted analysis using freely available web-based software and publicly available databases. Eschewing non-essential information, the work focuses on principles and hands-on analysis, also pointing to further study options. Avoids non-essential coverage, yet fully describes the field for beginners Explains the molecular basis of evolution to place bioinformatic analysis in biological context Provides useful links to the vast resource of publicly available bioinformatic databases and analysis tools Contains over 100 figures that aid in concept discovery and illustration
