As featured on CNN (有线电视新闻网, 是美国一个通过有线电视与卫星电视播出的新闻频道), Forbes and Inc （《福布斯》是美国一本商业杂志，由福布斯公司发行，每两周发行一次，以金融、工业、投资和营销等主题的原创文章著称。福布斯还报导技术、通信、科学和法律等领域的内容） - BookAuthority identifies and rates the best books in the world.

The "100 Best Bioinformatics Books of All Time" at website 

https://bookauthority.org/books/best-bioinformatics-books# 

were Recommendations by 

•Kirk Borne, Ph.D.

-Chief Science Officer at DataPrime, Inc. The Principal Data Scientist at @BoozAllen, PhD Astrophysicist. Top Data Science and Big Data Influencer.  Ex-Professor https://t.co/f4gsbNc00C

•Jennifer Mendelsohn 

-(((Old school journo. #resistancegenealogy creator. Avid debunker. Gleeful blocker/muter.))) Not really in Germany. PS:Your name wasn't changed at Ellis Island.

•Vinod Khosla        

-Partner at Khosla Ventures (Khosla Ventures是由Vinod Khosla创立的美国风险投资公司，专注于互联网，计算，移动，硅技术，生物技术，医疗保健和清洁技术领域的早期公司)

•Amit Paranjape      

-Diverse interests: Software/IT, Healthcare, Emerging Tech, Science, Startups, Economics, Current Affairs, History, Cricket, City of Pune

•Jason Pontin       

-Senior Partner at Flagship Pioneering, and WIRED Ideas contributor. From 2004 to 2017, I was Editor in Chief and Publisher of MIT Technology Review (麻省理工技术评论的主编和出版商)

......

1. Bioinformatics for Biologists

Pavel Pevzner, Ron Shamir |2011|

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.  ...

2. Probabilistic Methods for Bioinformatics

With an Introduction to Bayesian Networks

Richard E. Neapolitan |2009|

The Bayesian network is one of the most important architectures for representing and reasoning with multivariate probability distributions. When used in conjunction with specialized informatics, possibilities of real-world applications are achieved. Probabilistic Methods for BioInformatics explains the application of probability and statistics, in particular Bayesian networks, to genetics. This book provides background material on probability, statistics, and genetics, and then moves on to discuss Bayesian networks and applications to bioinformatics.  ...

3. Bioinformatics

Sequence, Structure and Databanks: A Practical Approach

D. Higgins, Willie Taylor |2000|

This volume covers practical important topics in the analysis of protein sequences and structures. It includes comparing amino acid sequences to structures comparing structures to each other, searching information on entire protein families as well as searching with single sequences, how to use the Internet and how to set up and use the SRS molecular biology database management system. Finally, there are chapters on multiple sequence alignment and protein secondary structure prediction. The book will be invaluable to occasional users of these techniques as well as experienced professionals or researchers. ...

4. Python for Bioinformatics

Sebastian Bassi |2018|

Programming knowledge is often necessary for finding a solution to a biological problem. Based on the author’s experience working for an agricultural biotechnology company, Python for Bioinformatics helps scientists solve their biological problems by helping them understand the basics of programming. Requiring no prior knowledge of programming-related concepts, the book focuses on the easy-to-use, yet powerful, Python computer language. The book begins with a very basic introduction that teaches the principles of programming. It then introduces the Biopython package, which can be useful in solving life science problems.  ...

5. Applied Predictive Modeling

Max Kuhn, Kjell Johnson |2018|

6. The Lost Family

How DNA Testing is Upending Who We Are

Libby Copeland |2020|

7. Chimeric RNA

Methods and Protocols )

Hui Li, Justin Elfman |2019|

This book provides numerous methods for identification, validation, and functional characterization of chimeric RNAs, herein described as any transcript which contains the nucleotide sequence of two distinct parental genes. Beginning with identification and characterization through bioinformatics tools, the book continues with experimental validation using RT-PCR, hybridization methods for RNA, and the use of mass spectrometry data for fusion protein validation, as well as functional and mechanistic studies of chimeric RNAs and translational applications.  ...

8. Gene Machine

The Race to Decipher the Secrets of the Ribosome

Venki Ramakrishnan |2019|

Amit ParanjapeRead an interesting book: 'Gene Machine: The Race to Decipher the Secrets of the Ribosome' by Nobel Laureate Venki Ramakrishnan.

The book discusses the author's early years of work, the race to decode the ribosome ('gene reading molecule'), the politics of awards and more – from Twitter

9. Cognitive Science and Artificial Intelligence

Advances and Applications

Sasikumar Gurumoorthy, Bangole Narendra Kumar Rao, Xiao-Zhi Gao |2018|

10. Bioinformatics

Tools and Techniques

Lawrence Baker |2018|

11. Non-coding RNAs in Complex Diseases

A Bioinformatics Perspective

Xia Li, Juan Xu, Yun Xiao, Shangwei Ning |2018|

This book offers an in-depth and comprehensive review on current understanding of regulatory ncRNAs in complex diseases from a view of bioinformatics. It conveys state-of-the-art bioinformatics tools and methods for ncRNAs from computational detection, functional prediction, to their roles in diseases.  ...

12. Bioinformatics and Biomedical Engineering

6th International Work-Conference, IWBBIO 2018, Granada, Spain, April 25–27, 2018, Proceedings, Part II

Ignacio Rojas, Francisco Ortuño |2019|

This two volume set LNBI 10813 and LNBI 10814 constitutes the proceedings of the 6th International Work-Conference on Bioinformatics and Biomedical Engineering, IWBBIO 2018, held in Granada, Spain, in April 2018.The 88 regular papers presented were carefully reviewed and selected from 273 submissions.  ...

13. Microarray Bioinformatics

Verónica Bolón-Canedo, Amparo Alonso-Betanzos |2019|

This book provides a comprehensive, interdisciplinary collection of the main, up-to-date methods, tools, and techniques for microarray data analysis, covering the necessary steps for the acquisition of the data, its preprocessing, and its posterior analysis. Featuring perspectives from biology, computer science, and statistics, the volume explores machine learning methods such as clustering, feature selection, classification, data normalization, and missing value imputation, as well as the statistical analysis of the data and the most popular computer tools to analyze microarray data.  ...

14. Advances in Single Molecule, Real-Time Sequencing

Adam Ameur, Matthew Hestand |2019|

PacBio's single-molecule real-time (SMRT) sequencing technology offers important advantages over the short-read DNA sequencing technologies that currently dominate the market. This includes exceptionally long read lengths (20 kb or more), unparalleled consensus accuracy, and the ability to sequence native, non-amplified DNA molecules. From fungi to insects to humans, long reads are now used to create highly accurate reference genomes by de novo assembly of genomic DNA and to obtain a comprehensive view of transcriptomes through the sequencing of full-length cDNAs.  ...

15. Data Analytics in Bioinformatics

A Machine Learning Perspective

Rabinarayan Satpathy, Tanupriya Choudury, Suneeta Satapathy, Sachi Nandan Mohanty |2021|

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.  ...

16. Computation in BioInformatics

Multidisciplinary Applications

S. Balamurugan, Anand T. Krishnan, Dinesh Goyal, Balakumar Chandrasekaran |2021|

COMPUTATION IN BIOINFORMATICS Bioinformatics is a platform between the biology and information technology and this book provides readers with an understanding of the use of bioinformatics tools in new drug design. The discovery of new solutions to pandemics is facilitated through the use of promising bioinformatics techniques and integrated approaches. This book covers a broad spectrum of the bioinformatics field, starting with the basic principles, concepts, and application areas. Also covered is the role of bioinformatics in drug design and discovery, including aspects of molecular modeling.  ...

17. Bioinformatics Methods

From Omics to Next Generation Sequencing

Sujay Datta, Denise Scholtens, Shili Lin |2022|

State-of-the-art research in cutting-edge technologies such as nextgeneration sequencing, Hi-C chromatin capture assays, basic statistical methods for high-dimensional highthroughput data. For researchers, advanced students in contemporary statistical science. Accessible to practitioners in the biomedical sciences who are non-statisticians. ...

18. All Bioinformatics Are Created Equal But Only The Best Are Born In December

Birthday Gift Idea for Bioinformatics Born In December, Lined Notebook | Retro Vintage Cover Themed

N&S DecemberPresent |2021|

Birthday Gift Notebook For BioinformaticsAre you looking for a special gift for your family member, friends or partner... born in December ?Then you are in the right place. This cute lined notebook with a beautiful vintage cover is perfect for jotting down your notes, thoughts, plans, daily activities, stories ...Main features : Lined notebook / journalPerfect birthday gift for BioinformaticsElegant and simpleSuitable present for your dad, mom, sister, brother, grandfather, grandmother, boss, husband, wife, boyfriend, girlfriend ... ...

19. I'm a Bioinformatics Specialist. What's Your Superpower?

Blank Lined Novelty Gift Journal Notebook for Bioinformatics Specialist, Programmer, Engineer Friend

Hot Robin House |2021|

This clean lined journal is suitable for scribbling notes, lessons, drawings, thoughts, ideas, quotes, prayers, and mantras.Keep track of your schedules, bills, lists, and target goals.Use as a diary, planner, habit tracker, appreciation journal, dreams and goals recorder.6 x 9 inches / 15.24 x 22.86 cm110 Pages55 sheetsTough paperback, book industry quality bindingSturdy paper quality which minimizes ink bleed-throughChlorine-free printing inkAcid-free interior cream paperPortable and beautifully designed to inspire your daily writings. ...

20. How Bioinformatics Technicians Swear Coloring Book

A Funny Holiday Christmas Gift For Bioinformatics Technicians with Laugh Out Loud Coloring Pages For Stress Relief And Relaxation

Jenny Holder |2021|

THE PERFECT GIFT for Bioinformatics TechniciansUniquePersonalFunnyMemorableA funny gift with SPECIAL QUOTES and HUMOROUS coloring pages designed to RELIEVE STRESS."Had everybody laughing!" - Jane R."Better than swearing at Marcus!" -Mike L."More fun than a kick in the pants :)" -Christina W.Need a funny gift that is actually fun and relaxing?Discover the hottest trend with this best-selling title.Give the gift of laughter with A GIFT THAT IS APPRECIATED! ...

21. Nursing Informatics and the Foundation of Knowledge

Dee McGonigle, Kathleen Mastrian |2021|

22. Consensus Policies to Solve Bioinformatic Problems

Through Bayesian Network Classifiers and Estimation of Distribution Algorithms

Rubén Armañanzas |2012|

Disciplines of bioinformatics and computational biology have emerged from the convergence of the new omics fields and the computational tools that are needed to manage, store and analyze the huge amount of data produced by them. One of the most classical problems in computational biology research is to extract knowledge from population studies. This kind of research is mapped by the machine learning discipline into the supervised classification problems. Several models exist to accomplish this task, but, in order to extract useful biological knowledge, the classifiers based on Bayesian networks are of the most useful.  ...

23. Validation of deep sequencing data from Drosophila mauritiana

by classic Sanger sequencing

Evelyne Mann |2013|

24. MapReduce Based Approach to Longest Common Subsequence in BioSequences

Bohara Jnaneshwar, Joshi Shashidhar Ram |2015|

The Longest Common Subsequence(LCS) identification of biological sequences has significant applications in bioinformatics. Due to the emerging growth in bioinformatics applications, new biological sequences with longer length have been used for processing, making it great challenge for sequential LCS algorithms. Few parallel LCS algorithms have been proposed but their efficiency and effectiveness are not satisfactory with increasing complexity and size of biological data.  ...

25. Molecular Structures and Structural Dynamics of Prion Proteins and Prions

Mechanism Underlying the Resistance to Prion Diseases

Jiapu Zhang |2015|

"there is a wealth of information and insight in the results presented and in the methods employed. The research is important. The methods used are innovative. Studying this book is worth the effort." - book Review from the Association for Computing Machinery

26. Multiple Biological Sequence Alignment

Scoring Functions, Algorithms and Evaluation

Ken Nguyen, Xuan Guo, Yi Pan |2016|

27. Building Bioinformatics Solutions

Robert Elder |2017|

Building Bioinformatics Solutions is suitable for graduate students and researchers in the life sciences who wish to automate analyses or create their own databases and web-based tools. No prior knowledge of software development is assumed. Having worked through the book, the reader should have the necessary core skills to develop computational solutions for their specific research programmes. The book will also help the reader overcome the inertia associated with penetrating this field, and provide them with the confidence and understanding required to go on to develop more advanced bioinformatics skills. ...

28. Wilson and Walker's Principles and Techniques of Biochemistry and Molecular Biology

Andreas Hofmann, Samuel Clokie |2018|

29. RNA Sequencing

Principles and Data Analysis

Lara Ozkan |2020|

30. Population Genomics

Concepts, Approaches and Applications

Om P. Rajora |2019|

Population genomics has revolutionized various disciplines of biology including population, evolutionary, ecological and conservation genetics, plant and animal breeding, human health, medicine and pharmacology by allowing to address novel and long-standing questions with unprecedented power and accuracy. It employs large-scale or genome-wide genetic information and bioinformatics to address various fundamental and applied aspects in biology and related disciplines, and provides a comprehensive genome-wide perspective and new insights that were not possible before.  ...

31. Essentials of Bioinformatics, Volume II

Shaik |2019|

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.  ...

32. Statistical Modelling and Machine Learning Principles for Bioinformatics Techniques, Tools, and Applications

Srinivasa |2020|

This book discusses topics related to bioinformatics, statistics, and machine learning, presenting the latest research in various areas of bioinformatics. It also highlights the role of computing and machine learning in knowledge extraction from biological data, and how this knowledge can be applied in fields such as drug design, health supplements, gene therapy, proteomics and agriculture. ...

33. Bioinformatics and Functional Genomics

Christina Marshall |2019|

34. Essentials of Bioinformatics, Volume III

In Silico Life Sciences: Agriculture

Khalid Rehman Hakeem, Noor Ahmad Shaik, Babajan Banaganapalli, Ramu Elango |2019|

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.  ...

35. Immunoinformatics

Namrata Tomar |2020|

This book covers a wide range of diverse immunoinformatics research topics, involving tools and databases of potential epitope prediction, HLA gene analysis, MHC characterizing, in silico vaccine design, mathematical modeling of host-pathogen interactions, and network analysis of immune system data. In that way, this fully updated volume explores the enormous value of computational tools and models in immunology research. Written for the highly successful Methods in Molecular Biology series, chapters include the kind of key insights and detailed implementation advice to encourage successful results in the lab.  ...

36. Bioinformatics

Experiments, Tools, Databases, and Algorithms

Orpita Bosu, Simminder Kaur Thukral |2007|

Aimed at students of biotechnology, this work describes the methods used to store, receive, and derive data from databases using various tools. ...

37. Bioinformatics

Sequences, Structures, Phylogeny

Asheesh Shanker |2018|

38. Introduction to Computational Health Informatics

Arvind Kumar Bansal, Javed Iqbal Khan, S. Kaisar Alam |2020|

39. Personalized Immunotherapy for Tumor Diseases and Beyond

Biaoru Li, Shen Li, Alan Larson |2020|

This book introduces personalized immunotherapy with multi-dimensional models of analysis to determine the best plan for immunotherapy of patients. The book introduces readers to some basic concepts which lay the foundation for personalized immunotherapy: the development of a major histocompatibility complex (MHC), the genome profile of T cells and tumor cells, and genome-wide association studies. Chapters also cover special topics such as new immunoassay methods related to personalized immunotherapy and targeted immunotherapy which are geared towards familiarizing readers with current research practices.  ...

40. Hands-On Bioinformatics with Python

Juan Caballero |2021|

41. Mastering Python for Bioinformatics

How to Write Flexible, Documented, Tested Python Code for Research Computing

Ken Youens-Clark |2021|

Life scientists today urgently need training in bioinformatics skills. Too many bioinformatics programs are poorly written and barely maintained, usually by students and researchers who've never learned basic programming skills. This practical guide shows postdoc bioinformatics professionals and students how to exploit the best parts of Python to solve problems in biology while creating documented, tested, reproducible software.Ken Youens-Clark, author of Tiny Python Projects (Manning), demonstrates not only how to write effective Python code but also how to use tests to write and refactor scientific programs.  ...

42. Introduction to Bioinformatics in Microbiology

Henrik Christensen |2018|

This textbook introduces to the basic concepts of bioinformatics and enhances students’ skills in using software and tools relevant for investigations in microbiology. The most relevant methods to analyze data are shown and readers are introduced on how to draw valid conclusions based on the results obtained. Software and servers which are free to use on the internet are presented and more advanced stand-alone programs are suggested as a second option. Exercises and training quizzes are provided at the end of each chapter to facilitate learning. The book targets Ph. D.  ...

43. Bioinformatics Algorithms

An Active Learning Approach by Phillip Compeau, Pavel Pevzner Paperback

Phillip Compeau |

44. Modern Industrial Microbiology and Biotechnology

Nduka Okafor, Benedict C. Okeke |2017|

The field of industrial microbiology involves a thorough knowledge of the microbial physiology behind the processes in the large-scale, profit-oriented production of microbe-related goods which are the subject of the field. In recent times a paradigm shift has occurred, and a molecular understanding of the various processes by which plants, animals and microorganisms are manipulated is now central to industrial microbiology. Thus the various applications of industrial microbiology are covered broadly, with emphasis on the physiological and genomic principles behind these applications.  ...

45. Biostatistics For Dummies

John Pezzullo |2013|

46. Computational Methods with Applications in Bioinformatics Analysis

Jeffrey J. P. Tsai, Ka-log Ng |2017|

This compendium contains 10 chapters written by world renowned researchers with expertise in semantic computing, genome sequence analysis, biomolecular interaction, time-series microarray analysis, and machine learning algorithms. The salient feature of this book is that it highlights eight types of computational techniques to tackle different biomedical applications. These techniques include unsupervised learning algorithms, principal component analysis, fuzzy integral, graph-based ensemble clustering method, semantic analysis, interolog approach, molecular simulations and enzyme kinetics.  ...

47. Algorithms for Next-Generation Sequencing Data

Techniques, Approaches, and Applications

Mourad Elloumi |2017|

48. Cancer and Noncoding RNAs

Jayprokas Chakrabarti, Sanga Mitra, Trygve Tollefsbol |2017|

Cancer and Noncoding RNAs offers an in-depth exploration of noncoding RNAs and their role in epigenetic regulation of complex human disease, most notably cancer. In addition to examining microRNAs, this volume provides a unique evaluation of more recently profiled noncoding RNAs now implicated in carcinogenesis, including lncRNAs, piRNAs, circRNAs, and tRNAs, identifying differences in function between these noncoding RNAs and how they interact with the rest of the epigenome.  ...

49. Plant Bioinformatics

Decoding the Phyta

Khalid Rehman Hakeem, Adeel Malik, Fazilet Vardar-Sukan, Munir Ozturk |2017|

50. Integration of Omics Approaches and Systems Biology for Clinical Applications

Antonia Vlahou, Fulvio Magni, Harald Mischak, Jerome Zoidakis |2018|

Introduces readers to the state of the art of omics platforms and all aspects of omics approaches for clinical applications This book presents different high throughput omics platforms used to analyze tissue, plasma, and urine. The reader is introduced to state of the art analytical approaches (sample preparation and instrumentation) related to proteomics, peptidomics, transcriptomics, and metabolomics. In addition, the book highlights innovative approaches using bioinformatics, urine miRNAs, and MALDI tissue imaging in the context of clinical applications.  ...

51. Current trends in Bioinformatics

An Insight

Gulshan Wadhwa, P. Shanmughavel, Atul Kumar Singh, Jayesh R. Bellare |2018|

52. Applied Computational Genomics

Yin Yao |2018|

53. Beginners Guide to Bioinformatics for High Throughput Sequencing

T W Tan, Eric Lee |2018|

54. Beginners Guide To Bioinformatics For High Throughput Sequencing

Eric Lee |2018|

55. Genomic Applications in Pathology

George Jabboure Netto, Karen L. Kaul |2018|

​The recent advances in genomics are continuing to reshape our approach to diagnostics, prognostics and therapeutics in oncologic and other disorders. A paradigm shift in pharmacogenomics and in the diagnosis of genetic inherited diseases and infectious diseases is unfolding as the result of implementation of next generation genomic technologies. With rapidly growing knowledge and applications driving this revolution, along with significant technologic and cost changes, genomic approaches are becoming the primary methods in many laboratories and for many diseases.   ...

56. Structural Bioinformatics

Applications in Preclinical Drug Discovery Process

C. Gopi Mohan |2019|

57. Bioinformatics and the Cell

Modern Computational Approaches in Genomics, Proteomics and Transcriptomics

Xuhua Xia |2019|

This second edition integrates the more technical and mathematical aspects of bioinformatics with concrete examples of their application to current research problems in molecular, cellular and evolutionary biology. This broad, unified approach is made possible, in large part, by the very wide scope of Dr. Xia’s own research experience. The integration of genomics, proteomics and transcriptomics into a single volume makes this book required reading for anyone entering the new and emerging fields of Systems Biology and Evolutionary Bioinformatics. ...

58. Principles of Computational Cell Biology

From Protein Complexes to Cellular Networks

Volkhard Helms |2019|

Computational cell biology courses are increasingly obligatory for biology students around the world but of course also a must for mathematics and informatics students specializing in bioinformatics. This book, now in its second edition is geared towards both audiences. The author, Volkhard Helms, has, in addition to extensive teaching experience, a strong background in biology and informatics and knows exactly what the key points are in making the book accessible for students while still conveying in depth knowledge of the subject.About 50% of new content has been added for the new edition.  ...

59. An Introduction to Bioinformatics

Regan Knight |2017|

60. Bioinformatics Research and Applications

13th International Symposium, ISBRA 2017, Honolulu, HI, USA, May 29 – June 2, 2017, Proceedings

Zhipeng Cai, Ovidiu Daescu, Min Li |2017|

This book constitutes the proceedings of the 13th International Symposium on Bioinformatics Research and Applications, ISBRA 2017, held in Honolulu, HI, USA, in May/June 2017. The 27 full papers presented together with 18 short papers and 24 invited abstracts were carefully reviewed and selected from 131 submissions.  ...

61. GeNeDis 2016

Computational Biology and Bioinformatics

Panayiotis Vlamos |2017|

The 2nd World Congress on Geriatrics and Neurodegenerative Disease Research (GeNeDis 2016), focuses on recent advances in geriatrics and neurodegeneration, ranging from basic science to clinical and pharmaceutical developments and provides an international forum for the latest scientific discoveries, medical practices and care initiatives. Advanced information technologies are discussed concerning the various research, implementation and policy, as well as European and global issues in the funding of long-term care and medico-social policies regarding elderly people.  ...

62. Functional Genomics

Methods and Protocols

Michael Kaufmann, Claudia Klinger, Andreas Savelsbergh |2017|

Reflecting developments in genome editing, this third edition volume fully updates a collection of key techniques for the study of functional genomics. The book is broken up into sections on bioinformatics, DNA, RNA, and protein analysis, as well as a closing section entitled “From Genotype to Phenotype.” Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls.  ...

63. Metabolomics

Practical Guide to Design and Analysis

Ron Wehrens, Reza Salek |2019|

Metabolomics is the scientific study of the chemical processes in a living system, environment and nutrition. It is a relatively new omics science, but the potential applications are wide, including medicine, personalized medicine and intervention studies, food and nutrition, plants, agriculture and environmental science. The topics presented and discussed in this book are based on the European Molecular Biology Organization (EMBO) practical courses in metabolomics bioinformatics taught to those working in the field, from masters to postgraduate students, PhDs, postdoctoral and early PIs.  ...

64. READ, ANALYZE, and VISUALIZE GENOMIC and PROTEOMIC DATA with MATLAB

J. Perkins |2018|

Bioinformatics Toolbox provides algorithms and apps for Next Generation Sequencing (NGS), microarray analysis, mass spectrometry, and gene ontology. Using toolbox functions, you can read genomic and proteomic data from standard file formats such as SAM, FASTA, CEL, and CDF, as well as from online databases such as the NCBI Gene Expression Omnibus and GenBank. You can explore and visualize this data with sequence browsers, spatial heatmaps, and clustergrams. The toolbox also provides statistical techniques for detecting peaks, imputing values for missing data, and selecting features.  ...

65. Clinical Metabolomics

Methods and Protocols

Martin Giera |2018|

This detailed volume presents a comprehensive compendium of clinical metabolomics protocols covering LC-MS, GC-MS, CE-MS, and NMR-based clinical metabolomics as well as bioinformatics and study design considerations. The methodologies explored here form the core of several very promising initiatives evolving around personalized health care and precision medicine, which can be seen as complimentary to the field of clinical chemistry and aid the aforementioned field with novel disease markers and diagnostic patterns.  ...

66. Bio/Recursion

Exploring CS and Bioinformatics in R

Shawn T O'Neil |2018|

67. Bioinformatics for Evolutionary Biologists

A Problems Approach

Bernhard Haubold, Angelika Börsch-Haubold |2018|

This self-contained textbook covers fundamental aspects of sequence analysis in evolutionary biology, including sequence alignment, phylogeny reconstruction, and coalescent simulation. It addresses these aspects through a series of over 400 computer problems, ranging from elementary to research level to enable learning by doing. Students solve the problems in the same computational environment used for decades in science – the UNIX command line. This is available on all three major operating systems for PCs: Microsoft Windows, Mac-OSX, and Linux.  ...

68. Application of Omics, AI and Blockchain in Bioinformatics Research

Jeffrey J-P Tsai, Ka-Lok Ng |2019|

With the increasing availability of omics data and mounting evidence of the usefulness of computational approaches to tackle multi-level data problems in bioinformatics and biomedical research in this post-genomics era, computational biology has been playing an increasingly important role in paving the way as basis for patient-centric healthcare. ...

69. Computational Systems Biology

Methods and Protocols

Tao Huang |2018|

This volume introduces the reader to the latest experimental and bioinformatics methods for DNA sequencing, RNA sequencing, cell-free tumour DNA sequencing, single cell sequencing, single-cell proteomics and metabolomics. Chapters detail advanced analysis methods, such as Genome-Wide Association Studies (GWAS), machine learning, reconstruction and analysis of gene regulatory networks and differential coexpression network analysis, and gave a practical guide for how to choose and use the right algorithm or software to handle specific high throughput data or multi-omics data.  ...

70. Techniques of Medical Genetics

A Brief Introduction to Bio-informatics

Dr. Ruchi Ratnesh |2019|

The knowledge of genetics and the bioinformatics has increased rapidly over the past few decades. The application of this knowledge has become an integral part of patient care and the preventive thrust of modern medicine. The aetiology of the majority of disorders has some genetic component. The subject of genetics is gaining utmost importance in the medical science. However, most of the medical students find this subject difficult to understand and therefore, neglect it. The aim of this book is to present the text in such a way that it provides the clear and conceptual understanding of the subject.  ...

71. Computational Drug Discovery and Design

Mohini Gore, Umesh B. Jagtap |2018|

This volume details methods and techniques for identification of drug targets, binding sites prediction, high-throughput virtual screening,and prediction of pharmacokinetic properties using computer based methodologies. Chapters guide readers through techniques of the available computational tools, developing prediction models for drug target prediction and de novo design of ligands, structure based drug designing, fragment-based drug designing, molecular docking, and scoring functions for assessing protein-ligand docking protocols.  ...

72. Bioinformatics Techniques for Drug Discovery

Applications for Complex Diseases

Aman Chandra Kaushik, Ajay Kumar, Shiv Bharadwaj, Ravi Chaudhary |2018|

The application of bioinformatics approaches in drug design involves an interdisciplinary array of sophisticated techniques and software tools to elucidate hidden or complex biological data. This work reviews the latest bioinformatics approaches used for drug discovery. The text covers ligand-based and structure-based approaches for computer-aided drug design, 3D pharmacophore modeling, molecular dynamics simulation, the thermodynamics of ligand-receptor and ligand-enzyme association, thermodynamic characterization and optimization, and techniques for computational genomics and proteomics. ...

73. Applied Bioinformatics

An Introduction

Paul M. Selzer, Richard J. Marhöfer, Oliver Koch |2018|

74. Innovation in Health Informatics

A Smart Healthcare Primer

Miltiadis Lytras, Akila Sarirete |2019|

75. Expert System Techniques in Biomedical Science Practice

Prasant Kumar Pattnaik |2018|

Before the integration of expert systems in biomedical science, complex problems required human expertise to solve them through conventional procedural methods. Advancements in expert systems allow for knowledge to be extracted when no human expertise is available and increases productivity through quick diagnosis.  ...

76. An Introduction to Molecular Biotechnology

Fundamentals, Methods and Applications

Michael Wink |2020|

Completely updated in line with the rapid progress made in the field, this new edition of the highly-praised textbook addresses powerful new methods and concepts in biotechnology, such as genome editing, reprogrammed stem cells, and personalized medicine. An introduction to the fundamentals in molecular and cell biology is followed by a description of standard techniques, including purification and analysis of biomolecules, cloning techniques, gene expression systems, genome editing methods, labeling of proteins and in situ-techniques, standard and high resolution microscopy.  ...

77. Simulation Algorithms for Computational Systems Biology

Luca Marchetti, Corrado Priami, Vo Hong Thanh |2018|

This book explains the state-of-the-art algorithms used to simulate biological dynamics. Each technique is theoretically introduced and applied to a set of modeling cases. Starting from basic simulation algorithms, the book also introduces more advanced techniques that support delays, diffusion in space, or that are based on hybrid simulation strategies.This is a valuable self-contained resource for graduate students and practitioners in computer science, biology and bioinformatics. An appendix covers the mathematical background, and the authors include further reading sections in each chapter. ...

78. Encyclopedia of Bioinformatics and Computational Biology

ABC of Bioinformatics

Shoba Ranganathan, Kenta Nakai, Christian Schonbach |2018|

79. Computational Chemogenomics

J.B. Brown |2018|

80. Cancer Bioinformatics

Alexander Krasnitz |2018|

This volume covers a wide variety of state of the art cancer-related methods and tools for data analysis and interpretation. Chapters were designed to attract a broad readership, ranging from active researchers in computational biology and bioinformatics developers, clinical oncologists, and anti-cancer drug developers wishing to rationalize their search for new compounds.  ...

81. New Frontiers of Biostatistics and Bioinformatics

Yichuan Zhao, Ding-Geng Chen |2018|

82. Mathematica for Bioinformatics

A Wolfram Language Approach to Omics

George Mias |2018|

This book offers a comprehensive introduction to using Mathematica and the Wolfram Language for Bioinformatics. The chapters build gradually from basic concepts and the introduction of the Wolfram Language and coding paradigms in Mathematica, to detailed worked examples derived from typical research applications using Wolfram Language code.  ...

83. Computational Biology of Non-Coding RNA

Methods and Protocols

Xin Lai, Shailendra K. Gupta, Julio Vera |2019|

84. Examining the Causal Relationship Between Genes, Epigenetics, and Human Health

Oscar J. Wambuguh |2019|

For as much as we know about DNA and gene expression, many more mysteries remain to be solved. Epigenetics and epigenomics seek to study heritable modifications in gene expression that do not involve underlying DNA sequences to further human health changes. Examining the Causal Relationship Between Genes, Epigenetics, and Human Health provides innovative research methods and applications of chemical activation or deactivation of genes without altering the original DNA sequence.  ...

85. Computational Models for Biomedical Reasoning and Problem Solving

Chung-Hao Chen, Sen-Ching Samson Cheung |2019|

The results of computational model simulations allow researchers and clinicians to make predictions about what will happen in the biological systems that are being studied in response to changing conditions for a disease or disorder. With a well-developed computational model, researchers and clinicians can better understand the cause of a disease or a disorder and predict treatment results.  ...

86. Bioinformatics

Design, Sequencing and Gene Expression

Daniel McGuire |2019|

87. Bioinformatics

Concepts and Applications

Lawrence Baker |2019|

Bioinformatics is an interdisciplinary science that develops on the methods and principles of statistics, computing, mathematics and biology to analyze biological data. It also includes the study of protein structures, amino acid sequences and nucleotide sequences. Techniques such as machine learning algorithms, pattern recognition, data mining and visualization are used. Drug discovery and design, gene finding, sequence alignment, protein-protein interactions, etc. are important areas of interest. This book aims to shed light on some of the unexplored aspects of bioinformatics.  ...

88. Clustering in Bioinformatics and Drug Discovery

John David MacCuish, Norah E. MacCuish |2019|

With a DVD of color figures, Clustering in Bioinformatics and Drug Discovery provides an expert guide on extracting the most pertinent information from pharmaceutical and biomedical data. It offers a concise overview of common and recent clustering methods used in bioinformatics and drug discovery. Setting the stage for subsequent material, the first three chapters of the book introduce statistical learning theory, exploratory data analysis, clustering algorithms, different types of data, graph theory, and various clustering forms.  ...

89. Bioinformatics for beginners

R. Amjesh, S.S. Vinodchandra |2019|

Bioinformatics is defined in simple terms as the ``field of science in which biology, computer science and information technology merge to form a single discipline". It can alternatively be defined as ''the use of information technology to acquire, store, manage, share, analyse, represent and transmit genetic data''. Bioinformatics is also defined as the use of computer science, mathematics, and information theory to model and analyse biological systems, especially systems involving genetic material.  ...

90. Computational Modeling in Bioengineering and Bioinformatics

Nenad Filipovic |2019|

Computational Modeling in Bioengineering and Bioinformatics promotes complementary disciplines that hold great promise for the advancement of research and development in complex medical and biological systems, and in the environment, public health, drug design, and so on. It provides a common platform by bridging these two very important and complementary disciplines into an interactive and attractive forum.  ...

91. Application of Bioinformatics in Cancers

Chad Brenner |2019|

92. Structural Bioinformatics

Methods and Protocols

Zoltán Gáspári |2020|

This volume looks at the latest techniques used to perform comparative structure analyses, and predict and evaluate protein-ligand interactions. The chapters in this book cover tools and servers such as LiteMol; Bio3D-Web; DALI; CATH; HoTMuSiC, a contact-base protein structure analysis tool known as CAD-Score; PyDockSaxs and HADDOCK; CombDock and DockStar; the BioMagResBank database; as well as BME and CoNSEnsX+.  ...

93. Virus Bioinformatics

Manja Marz, Bashar Ibrahim, Franziska Hufsky |2020|

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. ...

94. Bioinformatics for Cancer Immunotherapy

Methods and Protocols

Sebastian Boegel |2020|

95. Bioinformatics, System Biology and Big Data Analysis

Emerging Trends: Bioinformatics, System Biology and Big Data Analysis

Dr. Neetu Jabalia, N. Jaya Lakshmi |2020|

96. Basic concept of Bioinformatics and Nanobiotechnology

Basics of Bioinformatics and Nanotechnology

Mohammad Nadeem Khan |2020|

Bioinformatics draws on many subjects for analysis of the data generated by the biological sciences and biotechnology. This foreword will describe briefly each of the 12 chapters and close with additional general comments about the field. Many of the chapters overlap and include useful introductions to concepts such as gene or Bayesian methods. This is a valuable aspect of the volume allowing a student various angles of approach to a new topic.  ...

97. Practical Applications of Computational Biology & Bioinformatics, 14th International Conference

Gabriella Panuccio, Miguel Rocha, Florentino Fdez-Riverola, Mohd Saberi Mohamad |2020|

This book highlights the latest research on practical applications of computational biology and bioinformatics, and addresses emerging experimental and sequencing techniques that are posing new challenges for bioinformatics and computational biology. Successfully applying these techniques calls for new algorithms and approaches from fields such as statistics, data mining, machine learning, optimization, computer science, and artificial intelligence. In response to these challenges, we have seen the rise of a new generation of interdisciplinary scientists with a strong background in the biological and computational sciences. ...

98. Next Generation Sequencing and Data Analysis

Melanie Kappelmann-Fenzl |2021|

This textbook provides step-by-step protocols and detailed explanations for RNA Sequencing, ChIP-Sequencing and Epigenetic Sequencing applications. The reader learns how to perform Next Generation Sequencing data analysis, how to interpret and visualize the data, and acquires knowledge on the statistical background of the used software tools. Written for biomedical scientists and medical students, this textbook enables the end user to perform and comprehend various Next Generation Sequencing applications and their analytics without prior understanding in bioinformatics or computer sciences. ...

99. Chemoinformatics and Bioinformatics in the Pharmaceutical Sciences

Navneet Sharma PhD Pharmaceutics, Himanshu Ojha, Pawan Raghav, Ramesh K. Goyal |2021|

Chemoinformatics and Bioinformatics in the Pharmaceutical Sciences brings together two very important fields in pharmaceutical sciences that have been mostly seen as diverging from each other: chemoinformatics and bioinformatics. As developing drugs is an expensive and lengthy process, technology can improve the cost, efficiency and speed at which new drugs can be discovered and tested. This book presents some of the growing advancements of technology in the field of drug development and how the computational approaches explained here can reduce the financial and experimental burden of the drug discovery process.  ...

100. Protein Function Prediction

Genomics, Proteomics, and Bioinformatics

Burkhard Rost, Yanay Ofran |2020|

This excellent introduction to the fast-moving field of protein (gene) function predicition examines the available tools and current research approaches that can be applied to study the function of newly sequenced proteins. Special attention is paid to how bioinformatic analysis and experimental evidence can be used to provide a reliable picture of protein function. Each chapter also includes examples with problem sets.  ...