Fundamentals of Bioinformatics and Computational Biology
Fundamentals of Bioinformatics and Computational Biology

Author: Gautam B. Singh

Publisher: Springer

Published: 2014-09-24

Total Pages: 345

ISBN-13: 3319114034

DOWNLOAD EBOOK

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.

Bioinformatics and Computational Biology
Bioinformatics and Computational Biology

Author: Basant K. Tiwary

Publisher: Springer Nature

Published: 2021-11-23

Total Pages: 239

ISBN-13: 9811642419

DOWNLOAD EBOOK

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.

Fundamental Concepts of Bioinformatics
Fundamental Concepts of Bioinformatics

Author: Dan E. Krane

Publisher:

Published: 2003

Total Pages: 314

ISBN-13: 9780321190222

DOWNLOAD EBOOK

Co-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.

Systems Biology and Bioinformatics
Systems Biology and Bioinformatics

Author: Kayvan Najarian

Publisher: CRC Press

Published: 2009-04-13

Total Pages: 190

ISBN-13: 1439882940

DOWNLOAD EBOOK

The availability of molecular imaging and measurement systems enables today's biologists to swiftly monitor thousands of genes involved in a host of diseases, a critical factor in specialized drug development. Systems Biology and Bioinformatics: A Computational Approach provides students with a comprehensive collection of the computational methods

Basics of Bioinformatics
Basics of Bioinformatics

Author: Rui Jiang

Publisher: Springer Science & Business Media

Published: 2013-11-26

Total Pages: 412

ISBN-13: 3642389511

DOWNLOAD EBOOK

This book outlines 11 courses and 15 research topics in bioinformatics, based on curriculums and talks in a graduate summer school on bioinformatics that was held in Tsinghua University. The courses include: Basics for Bioinformatics, Basic Statistics for Bioinformatics, Topics in Computational Genomics, Statistical Methods in Bioinformatics, Algorithms in Computational Biology, Multivariate Statistical Methods in Bioinformatics Research, Association Analysis for Human Diseases: Methods and Examples, Data Mining and Knowledge Discovery Methods with Case Examples, Applied Bioinformatics Tools, Foundations for the Study of Structure and Function of Proteins, Computational Systems Biology Approaches for Deciphering Traditional Chinese Medicine, and Advanced Topics in Bioinformatics and Computational Biology. This book can serve as not only a primer for beginners in bioinformatics, but also a highly summarized yet systematic reference book for researchers in this field. Rui Jiang and Xuegong Zhang are both professors at the Department of Automation, Tsinghua University, China. Professor Michael Q. Zhang works at the Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA.

Fundamentals of Bioinformatics
Fundamentals of Bioinformatics

Author: S. Harisha

Publisher: I. K. International Pvt Ltd

Published: 2013-12-30

Total Pages: 266

ISBN-13: 8189866419

DOWNLOAD EBOOK

Bioinformatics 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.

Bioinformatics for Systems Biology
Bioinformatics for Systems Biology

Author: Stephen Krawetz

Publisher: Springer Science & Business Media

Published: 2008-12-11

Total Pages: 623

ISBN-13: 1597454400

DOWNLOAD EBOOK

Bioinformatics for Systems Biology bridges and unifies many disciplines. It presents the life scientist, computational biologist, and mathematician with a common framework. Only by linking the groups together may the true life sciences revolution move forward.

Bioinformatics and Computational Biology Solutions Using R and Bioconductor
Bioinformatics and Computational Biology Solutions Using R and Bioconductor

Author: Robert Gentleman

Publisher: Springer Science & Business Media

Published: 2005-12-29

Total Pages: 478

ISBN-13: 0387293620

DOWNLOAD EBOOK

Full four-color book. Some of the editors created the Bioconductor project and Robert Gentleman is one of the two originators of R. All methods are illustrated with publicly available data, and a major section of the book is devoted to fully worked case studies. Code underlying all of the computations that are shown is made available on a companion website, and readers can reproduce every number, figure, and table on their own computers.

Biological Sequence Analysis
Biological Sequence Analysis

Author: Richard Durbin

Publisher: Cambridge University Press

Published: 1998-04-23

Total Pages: 372

ISBN-13: 113945739X

DOWNLOAD EBOOK

Probabilistic models are becoming increasingly important in analysing the huge amount of data being produced by large-scale DNA-sequencing efforts such as the Human Genome Project. For example, hidden Markov models are used for analysing biological sequences, linguistic-grammar-based probabilistic models for identifying RNA secondary structure, and probabilistic evolutionary models for inferring phylogenies of sequences from different organisms. This book gives a unified, up-to-date and self-contained account, with a Bayesian slant, of such methods, and more generally to probabilistic methods of sequence analysis. Written by an interdisciplinary team of authors, it aims to be accessible to molecular biologists, computer scientists, and mathematicians with no formal knowledge of the other fields, and at the same time present the state-of-the-art in this new and highly important field.

Essential Bioinformatics
Essential Bioinformatics

Author: Jin Xiong

Publisher: Cambridge University Press

Published: 2006-03-13

Total Pages: 360

ISBN-13: 113945062X

DOWNLOAD EBOOK

Essential Bioinformatics is a concise yet comprehensive textbook of bioinformatics, which provides a broad introduction to the entire field. Written specifically for a life science audience, the basics of bioinformatics are explained, followed by discussions of the state-of-the-art computational tools available to solve biological research problems. All key areas of bioinformatics are covered including biological databases, sequence alignment, genes and promoter prediction, molecular phylogenetics, structural bioinformatics, genomics and proteomics. The book emphasizes how computational methods work and compares the strengths and weaknesses of different methods. This balanced yet easily accessible text will be invaluable to students who do not have sophisticated computational backgrounds. Technical details of computational algorithms are explained with a minimum use of mathematical formulae; graphical illustrations are used in their place to aid understanding. The effective synthesis of existing literature as well as in-depth and up-to-date coverage of all key topics in bioinformatics make this an ideal textbook for all bioinformatics courses taken by life science students and for researchers wishing to develop their knowledge of bioinformatics to facilitate their own research.