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| bioinformatics book: Bioinformatics for Beginners Supratim Choudhuri, 2018-10-30 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. |
| bioinformatics book: Fundamentals of Bioinformatics S. Harisha, 2013-12-30 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 book: Bioinformatics Algorithms Phillip Compeau, Pavel Pevzner, 1986-06 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. |
| bioinformatics book: Textbook Of Bioinformatics, A: Information-theoretic Perspectives Of Bioengineering And Biological Complexes Perambur S Neelakanta, 2020-08-24 This book on bioinformatics is designed as an introduction to the conventional details of genomics and proteomics as well as a practical comprehension text with an extended scope on the state-of-the-art bioinformatic details pertinent to next-generation sequencing, translational/clinical bioinformatics and vaccine-design related viral informatics.It includes four major sections: (i) An introduction to bioinformatics with a focus on the fundamentals of information-theory applied to biology/microbiology, with notes on bioinformatic resources, data bases, information networking and tools; (ii) a collection of annotations on the analytics of biomolecular sequences, with pertinent details presented on biomolecular informatics, pairwise and multiple sequences, viral sequence informatics, next-generation sequencing and translational/clinical bioinformatics; (iii) a novel section on cytogenetic and organelle bioinformatics explaining the entropy-theoretics of cellular structures and the underlying informatics of synteny correlations; and (iv) a comprehensive presentation on phylogeny and species informatics.The book is aimed at students, faculty and researchers in biology, health/medical sciences, veterinary/agricultural sciences, bioengineering, biotechnology and genetic engineering. It will be a useful companion for managerial personnel in the biotechnology and bioengineering industries as well as in health/medical science. |
| bioinformatics book: Modern Statistics for Modern Biology SUSAN. HUBER HOLMES (WOLFGANG.), Wolfgang Huber, 2018 |
| bioinformatics book: Essential Bioinformatics Jin Xiong, 2006-03-13 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. |
| bioinformatics book: Bioinformatics Andreas D. Baxevanis, B. F. Francis Ouellette, 2004-03-24 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. |
| bioinformatics book: Bioinformatics for High Throughput Sequencing Naiara Rodríguez-Ezpeleta, Michael Hackenberg, Ana M. Aransay, 2011-10-26 Next generation sequencing is revolutionizing molecular biology. Owing to this new technology it is now possible to carry out a panoply of experiments at an unprecedented low cost and high speed. These go from sequencing whole genomes, transcriptomes and small non-coding RNAs to description of methylated regions, identification protein – DNA interaction sites and detection of structural variation. The generation of gigabases of sequence information for each of this huge bandwidth of applications in just a few days makes the development of bioinformatics applications for next generation sequencing data analysis as urgent as challenging. |
| bioinformatics book: Bioinformatics Data Skills Vince Buffalo, 2015-07 Learn the data skills necessary for turning large sequencing datasets into reproducible and robust biological findings. With this practical guide, youâ??ll learn how to use freely available open source tools to extract meaning from large complex biological data sets. At no other point in human history has our ability to understand lifeâ??s complexities been so dependent on our skills to work with and analyze data. This intermediate-level book teaches the general computational and data skills you need to analyze biological data. If you have experience with a scripting language like Python, youâ??re ready to get started. Go from handling small problems with messy scripts to tackling large problems with clever methods and tools Process bioinformatics data with powerful Unix pipelines and data tools Learn how to use exploratory data analysis techniques in the R language Use efficient methods to work with genomic range data and range operations Work with common genomics data file formats like FASTA, FASTQ, SAM, and BAM Manage your bioinformatics project with the Git version control system Tackle tedious data processing tasks with with Bash scripts and Makefiles |
| bioinformatics book: Molecular Biology - Not Only for Bioinformaticians Wiesława Widłak, 2013-12-05 Bioinformatics, which can be defined as the application of computer science and information technology to the field of biology and medicine, has been rapidly developing over the past few decades. It generates new knowledge as well as the computational tools to create that knowledge. Understanding the basic processes in living organisms is therefore indispensable for bioinformaticians. This book addresses beginners in molecular biology, especially computer scientists who would like to work as bioinformaticians. It presents basic processes in living organisms in a condensed manner. Additionally, principles of several high-throughput technologies in molecular biology, which need the assistance of bioinformaticians, are explained from a biological point of view. It is structured in the following 9 chapters: cells and viruses; protein structure and function; nucleic acids; DNA replication, mutations, and repair; transcription and posttranscriptional processes; synthesis and posttranslational modifications of proteins; cell division; cell signaling pathways; and high-throughput technologies in molecular biology. |
| bioinformatics book: Basic Bioinformatics S. Gladis Hepsyba Helen, 2021-07 Bioinformatics entails the creation and advancement of databases, algorithms, computational and statistical techniques and theory to solve problems arising from the analysis of biological data. This book is an introductory text that links issues in biology to computer science to offer a clear picture of the principles driving bioinformatics. Database concepts and biological database management systems and designing a biological database have been clearly elucidated. Detailed information on sequence analysis has also been provided. The applications of bioinformatics also have been explained from a genomics and proteomics perspective. |
| bioinformatics book: Bioinformatics S.k.agarwal, 2000 |
| bioinformatics book: RNA Bioinformatics Ernesto Picardi, 2016-09-24 This volume provides an overview of RNA bioinformatics methodologies, including basic strategies to predict secondary and tertiary structures, and novel algorithms based on massive RNA sequencing. Interest in RNA bioinformatics has rapidly increased thanks to the recent high-throughput sequencing technologies allowing scientists to investigate complete transcriptomes at single nucleotide resolution. Adopting advanced computational technics, scientists are now able to conduct more in-depth studies and present them to you in this book. Written in the highly successful Methods of Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and equipment, step-by-step, readily reproducible bioinformatics protocols, and key tips to avoid known pitfalls. Authoritative and practical, RNA Bioinformatics seeks to aid scientists in the further study of bioinformatics and computational biology of RNA. |
| bioinformatics book: Bioinformatics and Functional Genomics Jonathan Pevsner, 2005-03-04 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. |
| bioinformatics book: Handbook of Statistical Bioinformatics Henry Horng-Shing Lu, Bernhard Schölkopf, Martin T. Wells, Hongyu Zhao, 2022-12-08 Now in its second edition, this handbook collects authoritative contributions on modern methods and tools in statistical bioinformatics with a focus on the interface between computational statistics and cutting-edge developments in computational biology. The three parts of the book cover statistical methods for single-cell analysis, network analysis, and systems biology, with contributions by leading experts addressing key topics in probabilistic and statistical modeling and the analysis of massive data sets generated by modern biotechnology. This handbook will serve as a useful reference source for students, researchers and practitioners in statistics, computer science and biological and biomedical research, who are interested in the latest developments in computational statistics as applied to computational biology. |
| bioinformatics book: Bioinformatics for Biologists Pavel Pevzner, Ron Shamir, 2011-09-15 The computational education of biologists is changing to prepare students for facing the complex datasets of today's life science research. In this concise textbook, the authors' fresh pedagogical approaches lead biology students from first principles towards computational thinking. A team of renowned bioinformaticians take innovative routes to introduce computational ideas in the context of real biological problems. Intuitive explanations promote deep understanding, using little mathematical formalism. Self-contained chapters show how computational procedures are developed and applied to central topics in bioinformatics and genomics, such as the genetic basis of disease, genome evolution or the tree of life concept. Using bioinformatic resources requires a basic understanding of what bioinformatics is and what it can do. Rather than just presenting tools, the authors - each a leading scientist - engage the students' problem-solving skills, preparing them to meet the computational challenges of their life science careers. |
| bioinformatics book: Bioinformatics For Dummies Jean-Michel Claverie, Cedric Notredame, 2011-02-10 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! |
| bioinformatics book: Practical Bioinformatics Janusz M. Bujnicki, 2007-09-12 This book presents applications of bioinformatics tools that experimental research scientists use in daily practice. Its interdisciplinary approach combines computational and experimental methods to solve scientific problems. The book begins with reviews of computational methods for protein sequence-structure-function analysis, followed by methods that use experimental data obtained in the laboratory to improve functional predictions. |
| bioinformatics book: Bioinformatics Dev Bukhsh Singh, Rajesh Kumar Pathak, 2021-10-21 Bioinformatics: Methods and Applications provides a thorough and detailed description of principles, methods, and applications of bioinformatics in different areas of life sciences. It presents a compendium of many important topics of current advanced research and basic principles/approaches easily applicable to diverse research settings. The content encompasses topics such as biological databases, sequence analysis, genome assembly, RNA sequence data analysis, drug design, and structural and functional analysis of proteins. In addition, it discusses computational approaches for vaccine design, systems biology and big data analysis, and machine learning in bioinformatics.It is a valuable source for bioinformaticians, computer biologists, and members of biomedical field who needs to learn bioinformatics approaches to apply to their research and lab activities. - Covers basic and more advanced developments of bioinformatics with a diverse and interdisciplinary approach to fulfill the needs of readers from different backgrounds - Explains in a practical way how to decode complex biological problems using computational approaches and resources - Brings case studies, real-world examples and several protocols to guide the readers with a problem-solving approach |
| bioinformatics book: Bioinformatics for Diagnosis, Prognosis and Treatment of Complex Diseases Bairong Shen, 2013-11-25 The book introduces the bioinformatics tools, databases and strategies for the translational research, focuses on the biomarker discovery based on integrative data analysis and systems biological network reconstruction. With the coming of personal genomics era, the biomedical data will be accumulated fast and then it will become reality for the personalized and accurate diagnosis, prognosis and treatment of complex diseases. The book covers both state of the art of bioinformatics methodologies and the examples for the identification of simple or network biomarkers. In addition, bioinformatics software tools and scripts are provided to the practical application in the study of complex diseases. The present state, the future challenges and perspectives were discussed. The book is written for biologists, biomedical informatics scientists and clinicians, etc. Dr. Bairong Shen is Professor and Director of Center for Systems Biology, Soochow University; he is also Director of Taicang Center for Translational Bioinformatics. |
| bioinformatics book: Algorithms in Bioinformatics Wing-Kin Sung, 2009-11-24 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 |
| bioinformatics book: Structural Bioinformatics Jenny Gu, Philip E. Bourne, 2011-09-20 Structural Bioinformatics was the first major effort to show the application of the principles and basic knowledge of the larger field of bioinformatics to questions focusing on macromolecular structure, such as the prediction of protein structure and how proteins carry out cellular functions, and how the application of bioinformatics to these life science issues can improve healthcare by accelerating drug discovery and development. Designed primarily as a reference, the first edition nevertheless saw widespread use as a textbook in graduate and undergraduate university courses dealing with the theories and associated algorithms, resources, and tools used in the analysis, prediction, and theoretical underpinnings of DNA, RNA, and proteins. This new edition contains not only thorough updates of the advances in structural bioinformatics since publication of the first edition, but also features eleven new chapters dealing with frontier areas of high scientific impact, including: sampling and search techniques; use of mass spectrometry; genome functional annotation; and much more. Offering detailed coverage for practitioners while remaining accessible to the novice, Structural Bioinformatics, Second Edition is a valuable resource and an excellent textbook for a range of readers in the bioinformatics and advanced biology fields. Praise for the previous edition: This book is a gold mine of fundamental and practical information in an area not previously well represented in book form. —Biochemistry and Molecular Education ... destined to become a classic reference work for workers at all levels in structural bioinformatics...recommended with great enthusiasm for educators, researchers, and graduate students. —BAMBED ...a useful and timely summary of a rapidly expanding field. —Nature Structural Biology ...a terrific job in this timely creation of a compilation of articles that appropriately addresses this issue. —Briefings in Bioinformatics |
| bioinformatics book: Bioinformatics for Everyone Mohammad Yaseen Sofi, Afshana Shafi, Khalid Z. Masoodi, 2021-09-14 Bioinformatics for Everyone provides a brief overview on currently used technologies in the field of bioinformatics—interpreted as the application of information science to biology— including various online and offline bioinformatics tools and softwares. The book presents valuable knowledge in a simplified way to help students and researchers easily apply bioinformatics tools and approaches to their research and lab routines. Several protocols and case studies that can be reproduced by readers to suit their needs are also included. - Explains the most relevant bioinformatics tools available in a didactic manner so that readers can easily apply them to their research - Includes several protocols that can be used in different types of research work or in lab routines - Discusses upcoming technologies and their impact on biological/biomedical sciences |
| bioinformatics book: Bioinformatics Zoé Lacroix, Terence Critchlow, 2003-07-18 The heart of the book lies in the collaboration efforts of eight distinct bioinformatics teams that describe their own unique approaches to data integration and interoperability. Each system receives its own chapter where the lead contributors provide precious insight into the specific problems being addressed by the system, why the particular architecture was chosen, and details on the system's strengths and weaknesses. In closing, the editors provide important criteria for evaluating these systems that bioinformatics professionals will find valuable. * Provides a clear overview of the state-of-the-art in data integration and interoperability in genomics, highlighting a variety of systems and giving insight into the strengths and weaknesses of their different approaches.- |
| bioinformatics book: Essentials of Bioinformatics, Volume I Noor Ahmad Shaik, Khalid Rehman Hakeem, Babajan Banaganapalli, Ramu Elango, 2019-03-27 Bioinformatics is an integrative field of computer science, genetics, genomics, proteomics, and statistics, which has undoubtedly revolutionized the study of biology and medicine in past decades. It mainly assists in modeling, predicting and interpreting large multidimensional biological data by utilizing advanced computational methods. Despite its enormous potential, bioinformatics is not widely integrated into the academic curriculum as most life science students and researchers are still not equipped with the necessary knowledge to take advantage of this powerful tool. Hence, the primary purpose of our book is to supplement this unmet need by providing an easily accessible platform for students and researchers starting their career in life sciences. This book aims to avoid sophisticated computational algorithms and programming. Instead, it mostly focuses on simple DIY analysis and interpretation of biological data with personal computers. Our belief is that once the beginners acquire these basic skillsets, they will be able to handle most of the bioinformatics tools for their research work and to better understand their experimental outcomes. Unlike other bioinformatics books which are mostly theoretical, this book provides practical examples for the readers on state-of-the-art open source tools to solve biological problems. Flow charts of experiments, graphical illustrations, and mock data are included for quick reference. Volume I is therefore an ideal companion for students and early stage professionals wishing to master this blooming field. |
| bioinformatics book: Data Analytics in Bioinformatics Rabinarayan Satpathy, Tanupriya Choudhury, Suneeta Satpathy, Sachi Nandan Mohanty, Xiaobo Zhang, 2021-01-20 Machine learning techniques are increasingly being used to address problems in computational biology and bioinformatics. Novel machine learning computational techniques to analyze high throughput data in the form of sequences, gene and protein expressions, pathways, and images are becoming vital for understanding diseases and future drug discovery. Machine learning techniques such as Markov models, support vector machines, neural networks, and graphical models have been successful in analyzing life science data because of their capabilities in handling randomness and uncertainty of data noise and in generalization. Machine Learning in Bioinformatics compiles recent approaches in machine learning methods and their applications in addressing contemporary problems in bioinformatics approximating classification and prediction of disease, feature selection, dimensionality reduction, gene selection and classification of microarray data and many more. |
| bioinformatics book: Bioinformatics for Geneticists Michael R. Barnes, Ian C. Gray, 2003-04-09 Bioinformatics for Geneticists describes a step by step approach to key bioinformatics and genetic analysis procedures, based upon practical experience gained after many years of direct bioinformatics support for laboratory geneticists. It features detailed case studies of problems and analytical approaches that are specific to the needs of the genetics researcher. The book contains reviews of bioinformatics tools and genetic databases. Each chapter is written to capture the principles of analysis regardless of the tool used, thereby ensuring that the book stays relevant as new data and tools become available. As the first book specifically addressing the informatics requirements of geneticists, Bioinformatics for Geneticists is essential reading for all those engaged in genetic research and should prove indispensable for both the planning and analysis of such studies. * The book provides in-depth coverage of the underlying principles of both genetic and bioinformatic analysis which should make this book suitable for all students of genetics or bioinformatics. * The book takes a web-based approach to bioinformatics, suitable for both internet novices and more experienced web users. * The focus is on public software tools and databases freely available to all. * The editors and authors bring a broad range of experience from academic and industrial genetics research environments. * The book is accessible to individuals outside the immediate field of molecular genetics, e.g. statisticians, epidemiologists and physicians who wish to improve their knowledge of bioinformatics and genetics. * This is currently the only book specifically aimed at the bioinformatics needs and priorities of genetics researchers. |
| bioinformatics book: Fundamental Concepts of Bioinformatics Dan E. Krane, Michael L. Raymer, 2003 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. |
| bioinformatics book: Exploring Bioinformatics Caroline St. Clair, Jonathan E. Visick, 2013-12-12 Thoroughly revised and updated, Exploring Bioinformatics: A Project-Based Approach, Second Edition is intended for an introductory course in bioinformatics at the undergraduate level. Through hands-on projects, students are introduced to current biological problems and then explore and develop bioinformatic solutions to these issues. Each chapter presents a key problem, provides basic biological concepts, introduces computational techniques to address the problem, and guides students through the use of existing web-based tools and software solutions. This progression prepares students to tackle the On-Your-Own Project, where they develop their own software solutions. Topics such as antibiotic resistance, genetic disease, and genome sequencing provide context and relevance to capture student interest. |
| bioinformatics book: Virus Bioinformatics Manja Marz, Bashar Ibrahim, Franziska Hufsky, David L. Robertson, 2020-02-21 Virus bioinformatics is evolving and succeeding as an area of research in its own right, representing the interface of virology and computer science. Bioinformatic approaches to investigate viral infections and outbreaks have become central to virology research, and have been successfully used to detect, control, and treat infections of humans and animals. As part of the Third Annual Meeting of the European Virus Bioinformatics Center (EVBC), we have published this Special Issue on Virus Bioinformatics. |
| bioinformatics book: Bioinformatics David Edwards, Jason Stajich, David Hansen, 2010-04-29 Bioinformatics is a relatively new field of research. It evolved from the requirement to process, characterize, and apply the information being produced by DNA sequencing technology. The production of DNA sequence data continues to grow exponentially. At the same time, improved bioinformatics such as faster DNA sequence search methods have been combined with increasingly powerful computer systems to process this information. Methods are being developed for the ever more detailed quantification of gene expression, providing an insight into the function of the newly discovered genes, while molecular genetic tools provide a link between these genes and heritable traits. Genetic tests are now available to determine the likelihood of suffering specific ailments and can predict how plant cultivars may respond to the environment. The steps in the translation of the genetic blueprint to the observed phenotype is being increasingly understood through proteome, metabolome and phenome analysis, all underpinned by advances in bioinformatics. Bioinformatics is becoming increasingly central to the study of biology, and a day at a computer can often save a year or more in the laboratory. The volume is intended for graduate-level biology students as well as researchers who wish to gain a better understanding of applied bioinformatics and who wish to use bioinformatics technologies to assist in their research. The volume would also be of value to bioinformatics developers, particularly those from a computing background, who would like to understand the application of computational tools for biological research. Each chapter would include a comprehensive introduction giving an overview of the fundamentals, aimed at introducing graduate students and researchers from diverse backgrounds to the field and bring them up-to-date on the current state of knowledge. To accommodate the broad range of topics in applied bioinformatics, chapters have been grouped into themes: gene and genome analysis, molecular genetic analysis, gene expression analysis, protein and proteome analysis, metabolome analysis, phenome data analysis, literature mining and bioinformatics tool development. Each chapter and theme provides an introduction to the biology behind the data describes the requirements for data processing and details some of the methods applied to the data to enhance biological understanding. |
| bioinformatics book: Bioinformatics M. H. Fulekar, 2009-03-24 Bioinformatics, computational biology, is a relatively new field that applies computer science and information technology to biology. In recent years, the discipline of bioinformatics has allowed biologists to make full use of the advances in Computer sciences and Computational statistics for advancing the biological data. Researchers in life sciences generate, collect and need to analyze an increasing number of different types of scientific data, DNA, RNA and protein sequences, in-situ and microarray gene expression including 3D protein structures and biological pathways. This book is aiming to provide information on bioinformatics at various levels. The chapters included in this book cover introductory to advanced aspects, including applications of various documented research work and specific case studies related to bioinformatics. This book will be of immense value to readers of different backgrounds such as engineers, scientists, consultants and policy makers for industry, government, academics and social and private organisations. |
| bioinformatics book: Bioinformatics Algorithms Miguel Rocha, Pedro G. Ferreira, 2018-06-12 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. |
| bioinformatics book: BIOINFORMATICS VITTAL R. SRINIVAS, 2005-01-01 Being an interdisciplinary subject, Bioinformatics is today covering a range of interest both among the students and teaching communities. Taking this increasing interest into account, this book gives a comprehensive introduction to the subject. The text not only deals with the basic concepts but it also emphasizes the technical and practical aspects of the subject. The book covers the computational tools in bioinformatics, algorithmic aspects as well as technological aspects. Besides it gives a clear exposition of Viterbi algorithm, Hidden Markov models, UPGMA, FM algorithm, heuristic, developing and using substitution matrices, HMMs and derivation of a number of standard formulae in information theory and statistics. Finally the text focusses on the technological aspects of bioinformatics such as sequencing through shot gun methods, microarrays, with a variety of unsupervised methods in data analysis with examples, as well as interdisciplinary research in systems biology. The book is primarily intended as a text for the students of Computer Science, Information Technology, undergraduate students of Bioinformatics, PGDCA and biological sciences and biotechnology. The book should also be of considerable interest for research scientist in Chemistry and Pharmacy. |
| bioinformatics book: An Introduction to Bioinformatics Regan Knight, 2017-06-26 Bioinformatics is an amalgamation of mathematics, engineering, computer sciences and statistics. It refers to the practice of using software tools to understand biological data. This book explores all the important aspects of bioinformatics in the present day scenario. It elaborates the different branches related to the subject and their applications. While understanding the long-term perspectives of the topics, the book makes an effort in highlighting their impact as a modern tool for the growth of bioinformatics. This text, with its detailed analyses and data, will prove immensely beneficial to students involved in this area at various levels. It will be of great help to those in the fields of genetics, forensic science and evolutionary biology. |
| bioinformatics book: Basics of Bioinformatics Rui Jiang, Xuegong Zhang, Michael Q. Zhang, 2013-11-26 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. |
| bioinformatics book: An Introduction to Bioinformatics Algorithms Neil C. Jones, Pavel A. Pevzner, 2004-08-06 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 book: Machine Learning in Bioinformatics Yanqing Zhang, Jagath C. Rajapakse, 2009-02-23 An introduction to machine learning methods and their applications to problems in bioinformatics Machine learning techniques are increasingly being used to address problems in computational biology and bioinformatics. Novel computational techniques to analyze high throughput data in the form of sequences, gene and protein expressions, pathways, and images are becoming vital for understanding diseases and future drug discovery. Machine learning techniques such as Markov models, support vector machines, neural networks, and graphical models have been successful in analyzing life science data because of their capabilities in handling randomness and uncertainty of data noise and in generalization. From an internationally recognized panel of prominent researchers in the field, Machine Learning in Bioinformatics compiles recent approaches in machine learning methods and their applications in addressing contemporary problems in bioinformatics. Coverage includes: feature selection for genomic and proteomic data mining; comparing variable selection methods in gene selection and classification of microarray data; fuzzy gene mining; sequence-based prediction of residue-level properties in proteins; probabilistic methods for long-range features in biosequences; and much more. Machine Learning in Bioinformatics is an indispensable resource for computer scientists, engineers, biologists, mathematicians, researchers, clinicians, physicians, and medical informaticists. It is also a valuable reference text for computer science, engineering, and biology courses at the upper undergraduate and graduate levels. |
生物信息学领域有哪些牛刊？ - 知乎
BMC genomics，BMC bioinformatics，BMC medical genomics. 练气期：这是修仙的基础阶段，研究生修行者开始吸收天地灵气，将其转化为体内的元力。 Briefings in …
Biostatistics（生物统计学）和 bioinformatics （生物信息学）有什 …
而Bioinformatics领域，统计学家的成果还是发表在很多顶尖杂志。 Nature Genetics高达38分，Nature Method高达28分，往下还有很多十几分的杂志，大量统计学家的team在这些杂志上 …
请问生物信息学有什么书可以推荐一下么？ - 知乎
Nov 16, 2021 · Bioinformatics: Genes, Proteins And Computers（无中文版） 生物信息学：基因、蛋白质和计算机 是解决复杂生物学问题的生物学概念和计算方法的结合。 本书首先讨论了细 …
如何评价2021中科院分区将Bioinformatic分为三区，BiB为二区综 …
Dec 21, 2021 · bioinformatics三区，审稿周期3-4个月. pgb一区，审稿周期一年. 按照三篇三区等于一篇一区，那发三篇bioinformatics的时间和收益等于发一篇pgb。 以后大家都发pgb，nar bib …
如何看待生信期刊Briefings in bioinformatics 最新影响因子11.622
Jul 7, 2021 · 总的来说，文章的平均质量远远不如Bioinformatics杂志，而且主要以发表综述为主。 文章的质量和文章的被引用次数没有任何相关性。 现在确实到来不能以影响因子论英雄的阶 …
生物信息学 (Bioinformatics) 和医学/健康信息学哪个就业前景好？
本人复旦生物系本科，但在生物信息（bioinformatics）实验室做了三年研究，之后去哥伦比亚大学生物医学信息学（biomedical informatics）系读硕士，选择医学track研读。现在在上海做医学 …
为什么edge浏览器访问网站显示已拒绝连接？其他浏览器正常？
知乎，中文互联网高质量的问答社区和创作者聚集的原创内容平台，于 2011 年 1 月正式上线，以「让人们更好的分享知识、经验和见解，找到自己的解答」为品牌使命。知乎凭借认真、专业 …
爱思唯尔with editor一般多长时间？已经快一个月了。？ - 知乎
知乎，中文互联网高质量的问答社区和创作者聚集的原创内容平台，于 2011 年 1 月正式上线，以「让人们更好的分享知识、经验和见解，找到自己的解答」为品牌使命。知乎凭借认真、专业 …
本科生信发了一篇一作BIB（Briefings in Bioinformatics）是什么水 …
本科生信发了一篇一作BIB（Briefings in Bioinformatics）是什么水平？ 如题，BIB的IF最新是快14，有可能靠这篇文章申请到好学校的phd吗，文章非综述（大概是搭建了一个生信管道） 显 …
briefing in bioinformatics这个期刊有latex的模板吗？ - 知乎
Jan 3, 2023 · 这个去官网就有，但是就是OUP的通用模板，我也用的这个，但是不知道BIB有没有自己的专用模板，我在overleaf上没找到反正应该是没有，但是又感觉和BIB已经发表的论文格 …
生物信息学领域有哪些牛刊？ - 知乎
BMC genomics，BMC bioinformatics，BMC medical genomics. 练气期：这是修仙的基础阶段，研究生修行者开始吸收天地灵气，将其转化为体内的元力。 Briefings in …
Biostatistics（生物统计学）和 bioinformatics （生物信息学）有什 …
而Bioinformatics领域，统计学家的成果还是发表在很多顶尖杂志。 Nature Genetics高达38分，Nature Method高达28分，往下还有很多十几分的杂志，大量统计学家的team在这些杂志上 …
请问生物信息学有什么书可以推荐一下么？ - 知乎
Nov 16, 2021 · Bioinformatics: Genes, Proteins And Computers（无中文版） 生物信息学：基因、蛋白质和计算机 是解决复杂生物学问题的生物学概念和计算方法的结合。 本书首先讨论了细 …
如何评价2021中科院分区将Bioinformatic分为三区，BiB为二区综 …
Dec 21, 2021 · bioinformatics三区，审稿周期3-4个月. pgb一区，审稿周期一年. 按照三篇三区等于一篇一区，那发三篇bioinformatics的时间和收益等于发一篇pgb。 以后大家都发pgb，nar bib …
如何看待生信期刊Briefings in bioinformatics 最新影响因子11.622
Jul 7, 2021 · 总的来说，文章的平均质量远远不如Bioinformatics杂志，而且主要以发表综述为主。 文章的质量和文章的被引用次数没有任何相关性。 现在确实到来不能以影响因子论英雄的阶 …
生物信息学 (Bioinformatics) 和医学/健康信息学哪个就业前景好？
本人复旦生物系本科，但在生物信息（bioinformatics）实验室做了三年研究，之后去哥伦比亚大学生物医学信息学（biomedical informatics）系读硕士，选择医学track研读。现在在上海做医学 …
为什么edge浏览器访问网站显示已拒绝连接？其他浏览器正常？
知乎，中文互联网高质量的问答社区和创作者聚集的原创内容平台，于 2011 年 1 月正式上线，以「让人们更好的分享知识、经验和见解，找到自己的解答」为品牌使命。知乎凭借认真、专业 …
爱思唯尔with editor一般多长时间？已经快一个月了。？ - 知乎
知乎，中文互联网高质量的问答社区和创作者聚集的原创内容平台，于 2011 年 1 月正式上线，以「让人们更好的分享知识、经验和见解，找到自己的解答」为品牌使命。知乎凭借认真、专业 …
本科生信发了一篇一作BIB（Briefings in Bioinformatics）是什么水 …
本科生信发了一篇一作BIB（Briefings in Bioinformatics）是什么水平？ 如题，BIB的IF最新是快14，有可能靠这篇文章申请到好学校的phd吗，文章非综述（大概是搭建了一个生信管道） 显 …
briefing in bioinformatics这个期刊有latex的模板吗？ - 知乎
Jan 3, 2023 · 这个去官网就有，但是就是OUP的通用模板，我也用的这个，但是不知道BIB有没有自己的专用模板，我在overleaf上没找到反正应该是没有，但是又感觉和BIB已经发表的论文格 …
