Bioinformatics Programming Using Python

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ISBN 10 : 818404898X
Pages : 492 pages
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Download Bioinformatics Programming Using Python by Mitchell L Model PDF/Ebook Free clicking on the below button will initiate the downloading process of Bioinformatics Programming Using Python by Mitchell L Model. This book is available in ePub and PDF format with a single click unlimited downloads.


Bioinformatics Programming Using Python

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Publisher : O'Reilly Media
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ISBN 10 : 059615450X
Pages : 528 pages
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Rating : 4.9/5 (596 users download)


Download Bioinformatics Programming Using Python by Mitchell Model PDF/Ebook Free clicking on the below button will initiate the downloading process of Bioinformatics Programming Using Python by Mitchell Model. This book is available in ePub and PDF format with a single click unlimited downloads. Powerful, flexible, and easy to use, Python is an ideal language for building software tools and applications for life science research and development. This unique book shows you how to program with Python, using code examples taken directly from bioinformatics. In a short time, you'll be using sophisticated techniques and Python modules that are particularly effective for bioinformatics programming. Bioinformatics Programming Using Python is perfect for anyone involved with bioinformatics -- researchers, support staff, students, and software developers interested in writing bioinformatics applications. You'll find it useful whether you already use Python, write code in another language, or have no programming experience at all. It's an excellent self-instruction tool, as well as a handy reference when facing the challenges of real-life programming tasks. Become familiar with Python's fundamentals, including ways to develop simple applications Learn how to use Python modules for pattern matching, structured text processing, online data retrieval, and database access Discover generalized patterns that cover a large proportion of how Python code is used in bioinformatics Learn how to apply the principles and techniques of object-oriented programming Benefit from the "tips and traps" section in each chapter


Bioinformatics Programming Using Python

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Publisher : "O'Reilly Media, Inc."
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ISBN 10 : 1449382908
Pages : 528 pages
File Format : PDF, EPUB, TEXT, KINDLE or MOBI
Rating : 4.4/5 (449 users download)


Download Bioinformatics Programming Using Python by Mitchell L Model PDF/Ebook Free clicking on the below button will initiate the downloading process of Bioinformatics Programming Using Python by Mitchell L Model. This book is available in ePub and PDF format with a single click unlimited downloads. Powerful, flexible, and easy to use, Python is an ideal language for building software tools and applications for life science research and development. This unique book shows you how to program with Python, using code examples taken directly from bioinformatics. In a short time, you'll be using sophisticated techniques and Python modules that are particularly effective for bioinformatics programming. Bioinformatics Programming Using Python is perfect for anyone involved with bioinformatics -- researchers, support staff, students, and software developers interested in writing bioinformatics applications. You'll find it useful whether you already use Python, write code in another language, or have no programming experience at all. It's an excellent self-instruction tool, as well as a handy reference when facing the challenges of real-life programming tasks. Become familiar with Python's fundamentals, including ways to develop simple applications Learn how to use Python modules for pattern matching, structured text processing, online data retrieval, and database access Discover generalized patterns that cover a large proportion of how Python code is used in bioinformatics Learn how to apply the principles and techniques of object-oriented programming Benefit from the "tips and traps" section in each chapter


Bioinformatics Programming in Python

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Publisher : John Wiley & Sons
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ISBN 10 : 9783527644902
Pages : 428 pages
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Rating : 4.4/5 (644 users download)


Download Bioinformatics Programming in Python by Ruediger-Marcus Flaig PDF/Ebook Free clicking on the below button will initiate the downloading process of Bioinformatics Programming in Python by Ruediger-Marcus Flaig. This book is available in ePub and PDF format with a single click unlimited downloads. This first introductory book designed to train novice programmers is based on a student course taught by the author, and has been optimized for biology students without previous experience in programming. By interspersing theory chapters with numerous small and large programming exercises, the author quickly shows readers how to do their own programming, and throughout uses anecdotes and real-life examples from the biosciences to 'spice up' the text. This practical book thus teaches essential programming skills for life scientists who want -- or need -- to write their own bioinformatics software tools.


Bioinformatics Data Skills

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Publisher : "O'Reilly Media, Inc."
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ISBN 10 : 9781449367510
Pages : 538 pages
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Rating : 4.6/5 (367 users download)


Download Bioinformatics Data Skills by Vince Buffalo PDF/Ebook Free clicking on the below button will initiate the downloading process of Bioinformatics Data Skills by Vince Buffalo. This book is available in ePub and PDF format with a single click unlimited downloads. Learn the data skills necessary for turning large sequencing datasets into reproducible and robust biological findings. With this practical guide, you’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 life’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, you’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 Algorithms

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Publisher : Academic Press
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ISBN 10 : 9780128125212
Pages : 400 pages
File Format : PDF, EPUB, TEXT, KINDLE or MOBI
Rating : 4.2/5 (125 users download)


Download Bioinformatics Algorithms by Miguel Rocha PDF/Ebook Free clicking on the below button will initiate the downloading process of Bioinformatics Algorithms by Miguel Rocha. This book is available in ePub and PDF format with a single click unlimited downloads. 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. Presents an ideal text for bioinformatics students with little to no knowledge of computer programming Based on over 12 years of pedagogical materials used by the authors in their own classrooms Features a companion website with downloadable codes and runnable examples (such as using Jupyter Notebooks) and exercises relating to the book


Advances in Bioinformatics and Computational Biology

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Publisher : Springer Nature
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ISBN 10 : 9783030657758
Pages : 272 pages
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Rating : 4.5/5 (657 users download)


Download Advances in Bioinformatics and Computational Biology by João C. Setubal PDF/Ebook Free clicking on the below button will initiate the downloading process of Advances in Bioinformatics and Computational Biology by João C. Setubal. This book is available in ePub and PDF format with a single click unlimited downloads. This book constitutes the refereed proceedings of the Brazilian Symposium on Bioinformatics, BSB 2020, held in São Paulo, Brazil, in November 2020. Due to COVID-19 pandemic the conference was held virtually The 20 revised full papers and 5 short papers were carefully reviewed and selected from 45 submissions. The papers address a broad range of current topics in computational biology and bioinformatics.


Implementing Reproducible Research

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Publisher : CRC Press
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ISBN 10 : 9781315360393
Pages : 448 pages
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Rating : 4.6/5 (36 users download)


Download Implementing Reproducible Research by Victoria Stodden PDF/Ebook Free clicking on the below button will initiate the downloading process of Implementing Reproducible Research by Victoria Stodden. This book is available in ePub and PDF format with a single click unlimited downloads. In computational science, reproducibility requires that researchers make code and data available to others so that the data can be analyzed in a similar manner as in the original publication. Code must be available to be distributed, data must be accessible in a readable format, and a platform must be available for widely distributing the data and code. In addition, both data and code need to be licensed permissively enough so that others can reproduce the work without a substantial legal burden. Implementing Reproducible Research covers many of the elements necessary for conducting and distributing reproducible research. It explains how to accurately reproduce a scientific result. Divided into three parts, the book discusses the tools, practices, and dissemination platforms for ensuring reproducibility in computational science. It describes: Computational tools, such as Sweave, knitr, VisTrails, Sumatra, CDE, and the Declaratron system Open source practices, good programming practices, trends in open science, and the role of cloud computing in reproducible research Software and methodological platforms, including open source software packages, RunMyCode platform, and open access journals Each part presents contributions from leaders who have developed software and other products that have advanced the field. Supplementary material is available at www.ImplementingRR.org.


Computational Science and Its Applications - ICCSA 2010

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Publisher : Springer
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ISBN 10 : 9783642121654
Pages : 602 pages
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Rating : 4.2/5 (121 users download)


Download Computational Science and Its Applications - ICCSA 2010 by David Taniar PDF/Ebook Free clicking on the below button will initiate the downloading process of Computational Science and Its Applications - ICCSA 2010 by David Taniar. This book is available in ePub and PDF format with a single click unlimited downloads. These multiple volumes (LNCS volumes 6016, 6017, 6018 and 6019) consist of the peer-reviewed papers from the 2010 International Conference on Compu- tional Science and Its Applications (ICCSA2010)held in Fukuoka, Japanduring March23–26,2010.ICCSA2010wasasuccessfuleventintheInternationalC- ferences on Computational Science and Its Applications (ICCSA) conference - ries, previouslyheld in Suwon, South Korea (2009), Perugia, Italy (2008), Kuala Lumpur, Malaysia (2007), Glasgow, UK (2006), Singapore (2005), Assisi, Italy (2004), Montreal, Canada (2003), and (as ICCS) Amsterdam, The Netherlands (2002) and San Francisco, USA (2001). Computational science is a main pillar of most of the present research, - dustrial and commercial activities and plays a unique role in exploiting ICT - novative technologies. The ICCSA conference series has been providing a venue to researchers and industry practitioners to discuss new ideas, to share complex problems and their solutions, and to shape new trends in computational science. ICCSA 2010 was celebrated at the host university, Kyushu Sangyo Univ- sity, Fukuoka, Japan, as part of the university’s 50th anniversary.We would like to thank Kyushu Sangyo University for hosting ICCSA this year, and for - cluding this international event in their celebrations. Also for the ?rst time this year, ICCSA organized poster sessions that present on-going projects on various aspects of computational sciences.


Bioinformatics with Python Cookbook

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Publisher : Packt Publishing Ltd
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ISBN 10 : 9781789349986
Pages : 360 pages
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Rating : 4.4/5 (349 users download)


Download Bioinformatics with Python Cookbook by Tiago Antao PDF/Ebook Free clicking on the below button will initiate the downloading process of Bioinformatics with Python Cookbook by Tiago Antao. This book is available in ePub and PDF format with a single click unlimited downloads. Discover modern, next-generation sequencing libraries from Python ecosystem to analyze large amounts of biological data Key Features Perform complex bioinformatics analysis using the most important Python libraries and applications Implement next-generation sequencing, metagenomics, automating analysis, population genetics, and more Explore various statistical and machine learning techniques for bioinformatics data analysis Book Description Bioinformatics is an active research field that uses a range of simple-to-advanced computations to extract valuable information from biological data. This book covers next-generation sequencing, genomics, metagenomics, population genetics, phylogenetics, and proteomics. You'll learn modern programming techniques to analyze large amounts of biological data. With the help of real-world examples, you'll convert, analyze, and visualize datasets using various Python tools and libraries. This book will help you get a better understanding of working with a Galaxy server, which is the most widely used bioinformatics web-based pipeline system. This updated edition also includes advanced next-generation sequencing filtering techniques. You'll also explore topics such as SNP discovery using statistical approaches under high-performance computing frameworks such as Dask and Spark. By the end of this book, you'll be able to use and implement modern programming techniques and frameworks to deal with the ever-increasing deluge of bioinformatics data. What you will learn Learn how to process large next-generation sequencing (NGS) datasets Work with genomic dataset using the FASTQ, BAM, and VCF formats Learn to perform sequence comparison and phylogenetic reconstruction Perform complex analysis with protemics data Use Python to interact with Galaxy servers Use High-performance computing techniques with Dask and Spark Visualize protein dataset interactions using Cytoscape Use PCA and Decision Trees, two machine learning techniques, with biological datasets Who this book is for This book is for Data data Scientistsscientists, Bioinformatics bioinformatics analysts, researchers, and Python developers who want to address intermediate-to-advanced biological and bioinformatics problems using a recipe-based approach. Working knowledge of the Python programming language is expected.


The Research Writer, Spiral bound Version

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Publisher : Cengage Learning
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ISBN 10 : 9781133168829
Pages : 528 pages
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Rating : 4.6/5 (168 users download)


Download The Research Writer, Spiral bound Version by John Van Rys PDF/Ebook Free clicking on the below button will initiate the downloading process of The Research Writer, Spiral bound Version by John Van Rys. This book is available in ePub and PDF format with a single click unlimited downloads. THE RESEARCH WRITER helps students transition from writing the research paper to doing research writing, from reporting information to working with ideas. The subtitle--Curiosity, Discovery, Dialogue--signals this shift: this handbook promotes research as a curiosity-driven activity that leads to discoveries that are then shared through various types of dialogue. With this practical and reader-friendly handbook, students will learn the research and writing skills needed for any research project and will be able to apply and transfer these skills to their own disciplines. Students can use THE RESEARCH WRITER to become more intelligent, ethically aware researchers, able not just to avoid plagiarism but to write with credibility while navigating the twenty-first century digital landscape. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.


Mastering Python for Bioinformatics

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Publisher : "O'Reilly Media, Inc."
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ISBN 10 : 9781098100834
Pages : 456 pages
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Rating : 4.0/5 (1 users download)


Download Mastering Python for Bioinformatics by Ken Youens-Clark PDF/Ebook Free clicking on the below button will initiate the downloading process of Mastering Python for Bioinformatics by Ken Youens-Clark. This book is available in ePub and PDF format with a single click unlimited downloads. 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. You'll learn the latest Python features and toolsâ??including linters, formatters, type checkers, and testsâ??to create documented and tested programs. You'll also tackle 14 challenges in Rosalind, a problem-solving platform for learning bioinformatics and programming. Create command-line Python programs to document and validate parameters Write tests to verify refactor programs and confirm they're correct Address bioinformatics ideas using Python data structures and modules such as Biopython Create reproducible shortcuts and workflows using makefiles Parse essential bioinformatics file formats such as FASTA and FASTQ Find patterns of text using regular expressions Use higher-order functions in Python like filter(), map(), and reduce()


Reproducible Bioinformatics with Python

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Publisher : O'Reilly Media
Release Date :
ISBN 10 : 1098100883
Pages : 350 pages
File Format : PDF, EPUB, TEXT, KINDLE or MOBI
Rating : 4.9/5 (98 users download)


Download Reproducible Bioinformatics with Python by Ken Youens-Clark PDF/Ebook Free clicking on the below button will initiate the downloading process of Reproducible Bioinformatics with Python by Ken Youens-Clark. This book is available in ePub and PDF format with a single click unlimited downloads. Life scientists today urgently need training in bioinformatics skills. Too many bioinformatics programs are poorly written and barely maintained--usually by students and postdoc researchers who've never learned basic programming skills. This practical guide shows how to exploit the best parts of Python for solving problems in biology while also creating documented, tested, reproducible software. Ken Youens-Clark, author of Tiny Python Projects (Manning), demonstrates how to write effective Python code and how to use tests to write and refactor scientific programs. You'll learn the latest Python features and tools--such as linters, formatters, type checkers, and tests--to write documented and tested programs. Create command-line Python programs that document and validate parameters Write tests to verify refactor programs and confirm they're correct Address bioinformatics ideas using Python data structures (strings, lists, and sets) and modules such as Biopython Create reproducible shortcuts and workflows using makefiles Parse essential bioinformatics file formats such as FASTA, FASTQ, and SwissProt Find patterns of text using regular expressions Use higher-order functions in Python like filter() and map()


Mastering Python for Bioinformatics

Author :
Publisher : "O'Reilly Media, Inc."
Release Date :
ISBN 10 : 9781098100858
Pages : 456 pages
File Format : PDF, EPUB, TEXT, KINDLE or MOBI
Rating : 4.0/5 (1 users download)


Download Mastering Python for Bioinformatics by Ken Youens-Clark PDF/Ebook Free clicking on the below button will initiate the downloading process of Mastering Python for Bioinformatics by Ken Youens-Clark. This book is available in ePub and PDF format with a single click unlimited downloads. 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. You'll learn the latest Python features and toolsâ??including linters, formatters, type checkers, and testsâ??to create documented and tested programs. You'll also tackle 14 challenges in Rosalind, a problem-solving platform for learning bioinformatics and programming. Create command-line Python programs to document and validate parameters Write tests to verify refactor programs and confirm they're correct Address bioinformatics ideas using Python data structures and modules such as Biopython Create reproducible shortcuts and workflows using makefiles Parse essential bioinformatics file formats such as FASTA and FASTQ Find patterns of text using regular expressions Use higher-order functions in Python like filter(), map(), and reduce()


Issues in Bioengineering and Bioinformatics: 2011 Edition

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Publisher : ScholarlyEditions
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ISBN 10 : 9781464964176
Pages : 1822 pages
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Rating : 4.6/5 (964 users download)


Download Issues in Bioengineering and Bioinformatics: 2011 Edition by PDF/Ebook Free clicking on the below button will initiate the downloading process of Issues in Bioengineering and Bioinformatics: 2011 Edition by . This book is available in ePub and PDF format with a single click unlimited downloads. Issues in Bioengineering and Bioinformatics: 2011 Edition is a ScholarlyEditions™ eBook that delivers timely, authoritative, and comprehensive information about Bioengineering and Bioinformatics. The editors have built Issues in Bioengineering and Bioinformatics: 2011 Edition on the vast information databases of ScholarlyNews.™ You can expect the information about Bioengineering and Bioinformatics in this eBook to be deeper than what you can access anywhere else, as well as consistently reliable, authoritative, informed, and relevant. The content of Issues in Bioengineering and Bioinformatics: 2011 Edition has been produced by the world’s leading scientists, engineers, analysts, research institutions, and companies. All of the content is from peer-reviewed sources, and all of it is written, assembled, and edited by the editors at ScholarlyEditions™ and available exclusively from us. You now have a source you can cite with authority, confidence, and credibility. More information is available at http://www.ScholarlyEditions.com/.


Advanced Python for Biologists

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Publisher : Createspace Independent Pub
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ISBN 10 : 1495244377
Pages : 267 pages
File Format : PDF, EPUB, TEXT, KINDLE or MOBI
Rating : 4.9/5 (495 users download)


Download Advanced Python for Biologists by Martin O. Jones PDF/Ebook Free clicking on the below button will initiate the downloading process of Advanced Python for Biologists by Martin O. Jones. This book is available in ePub and PDF format with a single click unlimited downloads. Advanced Python for Biologists is a programming course for workers in biology and bioinformatics who want to develop their programming skills. It starts with the basic Python knowledge outlined in Python for Biologists and introduces advanced Python tools and techniques with biological examples. You'll learn: - How to use object-oriented programming to model biological entities - How to write more robust code and programs by using Python's exception system - How to test your code using the unit testing framework - How to transform data using Python's comprehensions - How to write flexible functions and applications using functional programming - How to use Python's iteration framework to extend your own object and functions Advanced Python for Biologists is written with an emphasis on practical problem-solving and uses everyday biological examples throughout. Each section contains exercises along with solutions and detailed discussion.


Bioinformatic Algorithms

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Publisher : Academic Press
Release Date :
ISBN 10 : 0128125209
Pages : 420 pages
File Format : PDF, EPUB, TEXT, KINDLE or MOBI
Rating : 4.2/5 (128 users download)


Download Bioinformatic Algorithms by Miguel Rocha PDF/Ebook Free clicking on the below button will initiate the downloading process of Bioinformatic Algorithms by Miguel Rocha. This book is available in ePub and PDF format with a single click unlimited downloads. 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 regarding algorithm development and implementation, and will also uncover prototypes of bioinformatics applications that demonstrate the main principles underlying real world applications. Presents an ideal text for bioinformatics students with little to no knowledge of computer programming Based on over 12 years of pedagogical materials used by the authors in their own classrooms Features a companion website with downloadable codes and runnable examples (such as using Jupyter Notebooks) and exercises relating to the book


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