Bioinformatics A Practical Guide To The Analysis Of Genes And Proteins 3rd Ed

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Bioinformatics

Author : Andreas D. Baxevanis
Publisher : John Wiley & Sons
ISBN 13 : 0471461016
Total Pages : 504 pages
Book Rating : 4.4/5 (714 download)

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Book Synopsis Bioinformatics by : Andreas D. Baxevanis

Download or read book Bioinformatics written by Andreas D. Baxevanis and published by John Wiley & Sons. This book was released on 2004-03-24 with total page 504 pages. Available in PDF, EPUB and Kindle. Book excerpt: "In this book, Andy Baxevanis and Francis Ouellette . . . haveundertaken the difficult task of organizing the knowledge in thisfield in a logical progression and presenting it in a digestibleform. And they have done an excellent job. This fine text will makea major impact on biological research and, in turn, on progress inbiomedicine. We are all in their debt." —Eric Lander from the Foreword Reviews from the First Edition "...provides a broad overview of the basic tools for sequenceanalysis ... For biologists approaching this subject for the firsttime, it will be a very useful handbook to keep on the shelf afterthe first reading, close to the computer." —Nature Structural Biology "...should be in the personal library of any biologist who usesthe Internet for the analysis of DNA and protein sequencedata." —Science "...a wonderful primer designed to navigate the novice throughthe intricacies of in scripto analysis ... The accomplished genesearcher will also find this book a useful addition to theirlibrary ... an excellent reference to the principles ofbioinformatics." —Trends in Biochemical Sciences This new edition of the highly successful Bioinformatics:A Practical Guide to the Analysis of Genes and Proteinsprovides a sound foundation of basic concepts, with practicaldiscussions and comparisons of both computational tools anddatabases relevant to biological research. Equipping biologists with the modern tools necessary to solvepractical problems in sequence data analysis, the Second Editioncovers the broad spectrum of topics in bioinformatics, ranging fromInternet concepts to predictive algorithms used on sequence,structure, and expression data. With chapters written by experts inthe field, this up-to-date reference thoroughly covers vitalconcepts and is appropriate for both the novice and the experiencedpractitioner. Written in clear, simple language, the book isaccessible to users without an advanced mathematical or computerscience background. This new edition includes: All new end-of-chapter Web resources, bibliographies, andproblem sets Accompanying Web site containing the answers to the problems,as well as links to relevant Web resources New coverage of comparative genomics, large-scale genomeanalysis, sequence assembly, and expressed sequence tags A glossary of commonly used terms in bioinformatics andgenomics Bioinformatics: A Practical Guide to the Analysis of Genesand Proteins, Second Edition is essential reading forresearchers, instructors, and students of all levels in molecularbiology and bioinformatics, as well as for investigators involvedin genomics, positional cloning, clinical research, andcomputational biology.

Introduction to Bioinformatics

Author : Stephen A. Krawetz
Publisher : Springer Science & Business Media
ISBN 13 : 1592593356
Total Pages : 720 pages
Book Rating : 4.5/5 (925 download)

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Book Synopsis Introduction to Bioinformatics by : Stephen A. Krawetz

Download or read book Introduction to Bioinformatics written by Stephen A. Krawetz and published by Springer Science & Business Media. This book was released on 2003-01-31 with total page 720 pages. Available in PDF, EPUB and Kindle. Book excerpt: to Bioinformatics A Theoretical and Practical Approach Edited by Stephen A. Krawetz, PhD Wayne State University School of Medicine, Detroit MI and David D. Womble, PhD Wayne State University School of Medicine, Detroit, MI ~ Springer Science+ ~ Business Media, LLC © 2003 Springer Science+Business Media New York Originally published by Humana Press !ne. in 2003 Softcover reprint of the hardcover 1 st edition 2003 humanapress.com Ali rights reserved. No part of this book may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, electronic, mechanical, photocopying, microfilming, recording, or otherwise without written permission from the Publisher. Ali papers, comments, opinions, conclusions, or recommendations are those of the author(s), and do not necessarily reflect the views of the publisher. This publication is printed on acid-free paper. G) ANSI Z39.48-1984 (American Standards Institute) Permanence of Paper for Printed Library Materials. Production Editor: Mark J. Breaugh. Cover design by Patricia F. Cleary and Paul A. Thiessen. Cover illustration by Paul A. Thiessen, chemicalgraphics.com.

Introduction to Bioinformatics

Author : Arthur M. Lesk
Publisher :
ISBN 13 : 0198794142
Total Pages : 433 pages
Book Rating : 4.1/5 (987 download)

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Book Synopsis Introduction to Bioinformatics by : Arthur M. Lesk

Download or read book Introduction to Bioinformatics written by Arthur M. Lesk and published by . This book was released on 2019 with total page 433 pages. Available in PDF, EPUB and Kindle. Book excerpt: Lesk provides an accessible and thorough introduction to a subject which is becoming a fundamental part of biological science today. The text generates an understanding of the biological background of bioinformatics.

Bioinformatics for Beginners

Author : Supratim Choudhuri
Publisher : Elsevier
ISBN 13 : 0124105106
Total Pages : 238 pages
Book Rating : 4.1/5 (241 download)

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Book Synopsis Bioinformatics for Beginners by : Supratim Choudhuri

Download or read book Bioinformatics for Beginners written by Supratim Choudhuri and published by Elsevier. This book was released on 2014-05-09 with total page 238 pages. Available in PDF, EPUB and Kindle. Book excerpt: Bioinformatics 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

Bioinformatics and Functional Genomics

Author : Jonathan Pevsner
Publisher : John Wiley & Sons
ISBN 13 : 0471459178
Total Pages : 792 pages
Book Rating : 4.4/5 (714 download)

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Book Synopsis Bioinformatics and Functional Genomics by : Jonathan Pevsner

Download or read book Bioinformatics and Functional Genomics written by Jonathan Pevsner and published by John Wiley & Sons. This book was released on 2005-03-04 with total page 792 pages. Available in PDF, EPUB and Kindle. Book excerpt: Wiley is proud to announce the publication of the first ever broad-based textbook introduction to Bioinformatics and Functional Genomics by a trained biologist, experienced researcher, and award-winning instructor. In this new text, author Jonathan Pevsner, winner of the 2001 Johns Hopkins University "Teacher of the Year" award, explains problem-solving using bioinformatic approaches using real examples such as breast cancer, HIV-1, and retinal-binding protein throughout. His book includes 375 figures and over 170 tables. Each chapter includes: Problems, discussion of Pitfalls, Boxes explaining key techniques and math/stats principles, Summary, Recommended Reading list, and URLs for freely available software. The text is suitable for professionals and students at every level, including those with little to no background in computer science.

Introduction to Bioinformatics

Author : Arthur M. Lesk
Publisher :
ISBN 13 : 9780191975387
Total Pages : 0 pages
Book Rating : 4.9/5 (753 download)

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Book Synopsis Introduction to Bioinformatics by : Arthur M. Lesk

Download or read book Introduction to Bioinformatics written by Arthur M. Lesk and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: A vast amount of biological information about a wide range of species has become available in recent years as technological advances have significantly reduced the time it takes to sequence a genome or determine a novel protein structure. This text describes how bioinformatics can be used as a powerful set of tools for retrieving and analysing this biological data, and how bioinformatics can be applied to a wide range of disciplines such as molecular biology, medicine, biotechnology, forensic science, and anthropology.

Bioinformatics For Dummies

Author : Jean-Michel Claverie
Publisher : John Wiley & Sons
ISBN 13 : 1118051106
Total Pages : 475 pages
Book Rating : 4.1/5 (18 download)

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Book Synopsis Bioinformatics For Dummies by : Jean-Michel Claverie

Download or read book Bioinformatics For Dummies written by Jean-Michel Claverie and published by John Wiley & Sons. This book was released on 2011-02-10 with total page 475 pages. Available in PDF, EPUB and Kindle. Book excerpt: Were you always curious about biology but were afraid to sit through long hours of dense reading? Did you like the subject when you were in high school but had other plans after you graduated? Now you can explore the human genome and analyze DNA without ever leaving your desktop! Bioinformatics For Dummies is packed with valuable information that introduces you to this exciting new discipline. This easy-to-follow guide leads you step by step through every bioinformatics task that can be done over the Internet. Forget long equations, computer-geek gibberish, and installing bulky programs that slow down your computer. You’ll be amazed at all the things you can accomplish just by logging on and following these trusty directions. You get the tools you need to: Analyze all types of sequences Use all types of databases Work with DNA and protein sequences Conduct similarity searches Build a multiple sequence alignment Edit and publish alignments Visualize protein 3-D structures Construct phylogenetic trees This up-to-date second edition includes newly created and popular databases and Internet programs as well as multiple new genomes. It provides tips for using servers and places to seek resources to find out about what’s going on in the bioinformatics world. Bioinformatics For Dummies will show you how to get the most out of your PC and the right Web tools so you'll be searching databases and analyzing sequences like a pro!

Introduction to Bioinformatics with R

Author : Edward Curry
Publisher : CRC Press
ISBN 13 : 1351015303
Total Pages : 311 pages
Book Rating : 4.3/5 (51 download)

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Book Synopsis Introduction to Bioinformatics with R by : Edward Curry

Download or read book Introduction to Bioinformatics with R written by Edward Curry and published by CRC Press. This book was released on 2020-11-02 with total page 311 pages. Available in PDF, EPUB and Kindle. Book excerpt: In biological research, the amount of data available to researchers has increased so much over recent years, it is becoming increasingly difficult to understand the current state of the art without some experience and understanding of data analytics and bioinformatics. An Introduction to Bioinformatics with R: A Practical Guide for Biologists leads the reader through the basics of computational analysis of data encountered in modern biological research. With no previous experience with statistics or programming required, readers will develop the ability to plan suitable analyses of biological datasets, and to use the R programming environment to perform these analyses. This is achieved through a series of case studies using R to answer research questions using molecular biology datasets. Broadly applicable statistical methods are explained, including linear and rank-based correlation, distance metrics and hierarchical clustering, hypothesis testing using linear regression, proportional hazards regression for survival data, and principal component analysis. These methods are then applied as appropriate throughout the case studies, illustrating how they can be used to answer research questions. Key Features: · Provides a practical course in computational data analysis suitable for students or researchers with no previous exposure to computer programming. · Describes in detail the theoretical basis for statistical analysis techniques used throughout the textbook, from basic principles · Presents walk-throughs of data analysis tasks using R and example datasets. All R commands are presented and explained in order to enable the reader to carry out these tasks themselves. · Uses outputs from a large range of molecular biology platforms including DNA methylation and genotyping microarrays; RNA-seq, genome sequencing, ChIP-seq and bisulphite sequencing; and high-throughput phenotypic screens. · Gives worked-out examples geared towards problems encountered in cancer research, which can also be applied across many areas of molecular biology and medical research. This book has been developed over years of training biological scientists and clinicians to analyse the large datasets available in their cancer research projects. It is appropriate for use as a textbook or as a practical book for biological scientists looking to gain bioinformatics skills.

Bioinformatics Computing

Author : Bryan P. Bergeron
Publisher : Prentice Hall Professional
ISBN 13 : 9780131008250
Total Pages : 472 pages
Book Rating : 4.0/5 (82 download)

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Book Synopsis Bioinformatics Computing by : Bryan P. Bergeron

Download or read book Bioinformatics Computing written by Bryan P. Bergeron and published by Prentice Hall Professional. This book was released on 2003 with total page 472 pages. Available in PDF, EPUB and Kindle. Book excerpt: Comprehensive and concise, this handbook has chapters on computing visualization, large database designs, advanced pattern matching and other key bioinformatics techniques. It is a practical guide to computing in the growing field of Bioinformatics--the study of how information is represented and transmitted in biological systems, starting at the molecular level.

Computational Genomics with R

Author : Altuna Akalin
Publisher : CRC Press
ISBN 13 : 1498781861
Total Pages : 463 pages
Book Rating : 4.4/5 (987 download)

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Book Synopsis Computational Genomics with R by : Altuna Akalin

Download or read book Computational Genomics with R written by Altuna Akalin and published by CRC Press. This book was released on 2020-12-16 with total page 463 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational Genomics with R provides a starting point for beginners in genomic data analysis and also guides more advanced practitioners to sophisticated data analysis techniques in genomics. The book covers topics from R programming, to machine learning and statistics, to the latest genomic data analysis techniques. The text provides accessible information and explanations, always with the genomics context in the background. This also contains practical and well-documented examples in R so readers can analyze their data by simply reusing the code presented. As the field of computational genomics is interdisciplinary, it requires different starting points for people with different backgrounds. For example, a biologist might skip sections on basic genome biology and start with R programming, whereas a computer scientist might want to start with genome biology. After reading: You will have the basics of R and be able to dive right into specialized uses of R for computational genomics such as using Bioconductor packages. You will be familiar with statistics, supervised and unsupervised learning techniques that are important in data modeling, and exploratory analysis of high-dimensional data. You will understand genomic intervals and operations on them that are used for tasks such as aligned read counting and genomic feature annotation. You will know the basics of processing and quality checking high-throughput sequencing data. You will be able to do sequence analysis, such as calculating GC content for parts of a genome or finding transcription factor binding sites. You will know about visualization techniques used in genomics, such as heatmaps, meta-gene plots, and genomic track visualization. You will be familiar with analysis of different high-throughput sequencing data sets, such as RNA-seq, ChIP-seq, and BS-seq. You will know basic techniques for integrating and interpreting multi-omics datasets. Altuna Akalin is a group leader and head of the Bioinformatics and Omics Data Science Platform at the Berlin Institute of Medical Systems Biology, Max Delbrück Center, Berlin. He has been developing computational methods for analyzing and integrating large-scale genomics data sets since 2002. He has published an extensive body of work in this area. The framework for this book grew out of the yearly computational genomics courses he has been organizing and teaching since 2015.

Basics of Bioinformatics

Author : Rui Jiang
Publisher : Springer Science & Business Media
ISBN 13 : 3642389511
Total Pages : 412 pages
Book Rating : 4.6/5 (423 download)

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Book Synopsis Basics of Bioinformatics by : Rui Jiang

Download or read book Basics of Bioinformatics written by Rui Jiang and published by Springer Science & Business Media. This book was released on 2013-11-26 with total page 412 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

R Bioinformatics Cookbook

Author : Dan MacLean
Publisher : Packt Publishing Ltd
ISBN 13 : 1789955599
Total Pages : 307 pages
Book Rating : 4.7/5 (899 download)

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Book Synopsis R Bioinformatics Cookbook by : Dan MacLean

Download or read book R Bioinformatics Cookbook written by Dan MacLean and published by Packt Publishing Ltd. This book was released on 2019-10-11 with total page 307 pages. Available in PDF, EPUB and Kindle. Book excerpt: Over 60 recipes to model and handle real-life biological data using modern libraries from the R ecosystem Key FeaturesApply modern R packages to handle biological data using real-world examplesRepresent biological data with advanced visualizations suitable for research and publicationsHandle real-world problems in bioinformatics such as next-generation sequencing, metagenomics, and automating analysesBook Description Handling biological data effectively requires an in-depth knowledge of machine learning techniques and computational skills, along with an understanding of how to use tools such as edgeR and DESeq. With the R Bioinformatics Cookbook, you’ll explore all this and more, tackling common and not-so-common challenges in the bioinformatics domain using real-world examples. This book will use a recipe-based approach to show you how to perform practical research and analysis in computational biology with R. You will learn how to effectively analyze your data with the latest tools in Bioconductor, ggplot, and tidyverse. The book will guide you through the essential tools in Bioconductor to help you understand and carry out protocols in RNAseq, phylogenetics, genomics, and sequence analysis. As you progress, you will get up to speed with how machine learning techniques can be used in the bioinformatics domain. You will gradually develop key computational skills such as creating reusable workflows in R Markdown and packages for code reuse. By the end of this book, you’ll have gained a solid understanding of the most important and widely used techniques in bioinformatic analysis and the tools you need to work with real biological data. What you will learnEmploy Bioconductor to determine differential expressions in RNAseq dataRun SAMtools and develop pipelines to find single nucleotide polymorphisms (SNPs) and IndelsUse ggplot to create and annotate a range of visualizationsQuery external databases with Ensembl to find functional genomics informationExecute large-scale multiple sequence alignment with DECIPHER to perform comparative genomicsUse d3.js and Plotly to create dynamic and interactive web graphicsUse k-nearest neighbors, support vector machines and random forests to find groups and classify dataWho this book is for This book is for bioinformaticians, data analysts, researchers, and R developers who want to address intermediate-to-advanced biological and bioinformatics problems by learning through a recipe-based approach. Working knowledge of R programming language and basic knowledge of bioinformatics are prerequisites.

Biological Sequence Analysis

Author : Richard Durbin
Publisher : Cambridge University Press
ISBN 13 : 113945739X
Total Pages : 372 pages
Book Rating : 4.1/5 (394 download)

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Book Synopsis Biological Sequence Analysis by : Richard Durbin

Download or read book Biological Sequence Analysis written by Richard Durbin and published by Cambridge University Press. This book was released on 1998-04-23 with total page 372 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Bioinformatics

Author : Stanley I. Letovsky
Publisher : Springer Science & Business Media
ISBN 13 : 0306469030
Total Pages : 298 pages
Book Rating : 4.3/5 (64 download)

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Book Synopsis Bioinformatics by : Stanley I. Letovsky

Download or read book Bioinformatics written by Stanley I. Letovsky and published by Springer Science & Business Media. This book was released on 2006-06-01 with total page 298 pages. Available in PDF, EPUB and Kindle. Book excerpt: Bioinformatics brings computational methods to the analysis and processing of genomic data. Bioinformatics: Databases and Systems focuses on the issues of system building and data curation that dominate the day-to-day concerns of bioinformatics practitioners. Included are chapters by many of today's leading bioinformatics practitioners, describing most of the current paradigms of system building and curation, including both their strengths and weaknesses. Biological topics covered include sequence databases, metabolic pathways, phenotypes, variety collections, gene expression atlases and neuroinformatics. Species range from bacteria to mammals to plants. Software systems and technologies covered include OPM, CORBA, SRS, KLEISLI, ACEDB, Web-based integration and laboratory workflow. Bioinformatics: Databases and Systems provides a valuable introduction for newcomers to the field, and a useful reference for veterans.

BIOINFORMATICS: A PRACTICAL GUIDE TO THE ANALYSIS OF GENES AND PROTEINS, 3RD ED

Author : Andreas D. Baxevanis
Publisher :
ISBN 13 : 9788126521920
Total Pages : 560 pages
Book Rating : 4.5/5 (219 download)

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Book Synopsis BIOINFORMATICS: A PRACTICAL GUIDE TO THE ANALYSIS OF GENES AND PROTEINS, 3RD ED by : Andreas D. Baxevanis

Download or read book BIOINFORMATICS: A PRACTICAL GUIDE TO THE ANALYSIS OF GENES AND PROTEINS, 3RD ED written by Andreas D. Baxevanis and published by . This book was released on 2009-07-01 with total page 560 pages. Available in PDF, EPUB and Kindle. Book excerpt: Market_Desc: This new edition is aimed at advanced undergraduate and graduate school students taking an introductory bioinformatics courses, as well as professionals in genomics, molecular biology, biochemistry, biophysics, and computational biology. According to a Science review of a previous edition, this book should be in the personal library of any biologist who uses the Internet for the analysis of DNA and protein sequence data and is invaluable to beginners and seasoned researchers alike. Special Features: · Complete, expert coverage of key principles as well as the state-of-the-art in bioinformatics· All new chapters on: Genome Annotation, Genomic Databases, Predictive Methods Using RNA Sequences, Protein Structure Prediction, and Protein-Protein Interactions· Fully redesigned, appealing design with full color throughout and larger trim size· Reorganization of chapters into five main sections following a clear, logical sequence· Inclusion of greatly expanded and more rigorous problem sets· Special boxes highlighting experimental strategies and limitations· More diagrams and flowcharts to reinforce the main text· Enhanced use of real examples· written by the top scientists in the field of bioinformatics, [this book] is the perfect choice for every molecular biology laboratory --Quarterly Review of Biology (2/e)· No background in computer science or mathematics assumed About The Book: This fully revised third edition to an already classic resource provides readers with a practical guide covering the full scope of key concepts in bioinformatics, from databases to predictive and comparative algorithms. With a new full-color, enlarged page design, this edition offers the most readable, up-to-date, and thorough introduction to the field for biologists. All new features include special boxes, enhanced use of real examples, and expanded problem sets with answers provided on the book's dedicated website (www.wiley.com/bioinformatics). A glossary and appendix of sample file formats rounds out the book's reader-friendly, 'hands-on' treatment.The chapters have been reorganized into a more logical flow, with five main sections and a concluding section offering a primer on the use of Perl. Following the editors' introduction and perspective on why bioinformatics is important.

Data Mining in Bioinformatics

Author : Jason T. L. Wang
Publisher : Springer Science & Business Media
ISBN 13 : 9781852336714
Total Pages : 356 pages
Book Rating : 4.3/5 (367 download)

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Book Synopsis Data Mining in Bioinformatics by : Jason T. L. Wang

Download or read book Data Mining in Bioinformatics written by Jason T. L. Wang and published by Springer Science & Business Media. This book was released on 2005 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: Written especially for computer scientists, all necessary biology is explained. Presents new techniques on gene expression data mining, gene mapping for disease detection, and phylogenetic knowledge discovery.

Computational Biology

Author : Röbbe Wünschiers
Publisher : Springer Science & Business Media
ISBN 13 : 3642185525
Total Pages : 291 pages
Book Rating : 4.6/5 (421 download)

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Book Synopsis Computational Biology by : Röbbe Wünschiers

Download or read book Computational Biology written by Röbbe Wünschiers and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 291 pages. Available in PDF, EPUB and Kindle. Book excerpt: -Teaches the reader how to use Unix, which is the key to basic computing and allows the most flexibility for bioinformatics applications -Written specifically with the needs of molecular biologists in mind -Easy to follow, written for beginners with no computational knowledge -Includes examples from biological data analysis -Can be use either for self-teaching or in courses