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Author: Jules J. Berman
Publisher: Jones & Bartlett Learning
ISBN: 9780763743338
Category : Computers
Languages : en
Pages : 428
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Book Description
Written for biomedical professionals and hospital practitioners interested in creating their own programs, Perl Programming for Medicine and Biology, discusses and reviews biomedical data resources, data standards, data organization, medicolegal and ethical conduct for data miners, and grants-related data sharing responsibilities. It teaches readers the basic Perl programming skills necessary for collecting, analyzing, and distributing biomedical data and provides solutions to in-depth problems that face researchers and healthcare professionals. Non-technical "Background" sections open each chapter to help non-programmers easily comprehend programming procedures. Explanations are provided for the biomedical issues underlying the Perl scripts that follow, and examples of real-world implementation are provided. Perl Programming for Medicine and Biology will show you how to transform, merge, and examine large and complex databases with ease.
Author: Jules J. Berman
Publisher: Jones & Bartlett Learning
ISBN: 9780763743338
Category : Computers
Languages : en
Pages : 428
Get Book Here
Book Description
Written for biomedical professionals and hospital practitioners interested in creating their own programs, Perl Programming for Medicine and Biology, discusses and reviews biomedical data resources, data standards, data organization, medicolegal and ethical conduct for data miners, and grants-related data sharing responsibilities. It teaches readers the basic Perl programming skills necessary for collecting, analyzing, and distributing biomedical data and provides solutions to in-depth problems that face researchers and healthcare professionals. Non-technical "Background" sections open each chapter to help non-programmers easily comprehend programming procedures. Explanations are provided for the biomedical issues underlying the Perl scripts that follow, and examples of real-world implementation are provided. Perl Programming for Medicine and Biology will show you how to transform, merge, and examine large and complex databases with ease.
Author: Jules J. Berman
Publisher: Jones & Bartlett Learning
ISBN: 9780763750909
Category : Computers
Languages : en
Pages : 406
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Book Description
Once again, Jules J. Berman provides biomedical researchers and hospital professionals with an introduction to a time-saving programming language. In this new how-to manual, Berman expertly guides both experienced and inexperienced programmers through the Ruby programming language. Ruby Programming for Medicine and Biology opens with three chapters of Ruby language instruction followed by discussions of 100 ruby scripts covering the most common computational tasks in the field of biomedicine. With helpful explanations of how scripts work, and how they might be implemented in real-world situations, readers will become familiar with this free, open source, object-oriented programming language that is quickly gaining momentum within the bioinformatics community.
Author: D. Curtis Jamison
Publisher: John Wiley & Sons
ISBN: 9780471430599
Category : Medical
Languages : en
Pages : 206
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Book Description
Working on the assumption that the reader has no formal training in programming, Perl Programming for Biologists demonstrates how Perl is used to solve biological problems. Each chapter opens with a set of learning objectives, provides numerous review questions and self-study exercises, and concludes with a bulleted summary of key points. The author incorporates numerous real-life examples throughout the text. Upon completing the book, readers are able to quickly perform such tasks as correcting recurring errors in spreadsheets, scanning a Fasta sequence for every occurrence of an EcoRI site, adapting other writers' scripts to one's own purposes, and most important, writing reusable and maintainable scripts that spare the rote repetition of code.
Author: Jules J. Berman
Publisher:
ISBN:
Category : Biology
Languages : en
Pages : 0
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Book Description
Author: Jules J. Berman
Publisher: CRC Press
ISBN: 1439841845
Category : Mathematics
Languages : en
Pages : 402
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Book Description
Too often, healthcare workers are led to believe that medical informatics is a complex field that can only be mastered by teams of professional programmers. This is simply not the case. With just a few dozen simple algorithms, easily implemented with open source programming languages, you can fully utilize the medical information contained in clini
Author: James Tisdall
Publisher: "O'Reilly Media, Inc."
ISBN: 0596550472
Category : Computers
Languages : en
Pages : 388
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Book Description
With its highly developed capacity to detect patterns in data, Perl has become one of the most popular languages for biological data analysis. But if you're a biologist with little or no programming experience, starting out in Perl can be a challenge. Many biologists have a difficult time learning how to apply the language to bioinformatics. The most popular Perl programming books are often too theoretical and too focused on computer science for a non-programming biologist who needs to solve very specific problems.Beginning Perl for Bioinformatics is designed to get you quickly over the Perl language barrier by approaching programming as an important new laboratory skill, revealing Perl programs and techniques that are immediately useful in the lab. Each chapter focuses on solving a particular bioinformatics problem or class of problems, starting with the simplest and increasing in complexity as the book progresses. Each chapter includes programming exercises and teaches bioinformatics by showing and modifying programs that deal with various kinds of practical biological problems. By the end of the book you'll have a solid understanding of Perl basics, a collection of programs for such tasks as parsing BLAST and GenBank, and the skills to take on more advanced bioinformatics programming. Some of the later chapters focus in greater detail on specific bioinformatics topics. This book is suitable for use as a classroom textbook, for self-study, and as a reference.The book covers: Programming basics and working with DNA sequences and strings Debugging your code Simulating gene mutations using random number generators Regular expressions and finding motifs in data Arrays, hashes, and relational databases Regular expressions and restriction maps Using Perl to parse PDB records, annotations in GenBank, and BLAST output
Author: Jules J. Berman
Publisher: Academic Press
ISBN: 0323972586
Category : Computers
Languages : en
Pages : 446
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Book Description
Classification Made Relevant: How Scientists Build and Use Classifications and Ontologies explains how classifications and ontologies are designed and used to analyze scientific information. The book presents the fundamentals of classification, leading up to a description of how computer scientists use object-oriented programming languages to model classifications and ontologies. Numerous examples are chosen from the Classification of Life, the Periodic Table of the Elements, and the symmetry relationships contained within the Classification Theorem of Finite Simple Groups. When these three classifications are tied together, they provide a relational hierarchy connecting all of the natural sciences. The book's chapters introduce and describe general concepts that can be understood by any intelligent reader. With each new concept, they follow practical examples selected from various scientific disciplines. In these cases, technical points and specialized vocabulary are linked to glossary items where the item is clarified and expanded. - Explains the theory and practice of classification, emphasizing the importance of classifications and ontologies to the modern fields of mathematics, physics, chemistry, biology and medicine - Includes numerous real-world examples that demonstrate how bad construction technique can destroy the value of classifications and ontologies - Explains how we define and understand the relationships among the classes within a classification and how the properties of a class are inherited by its subclasses - Describes ontologies and how they differ from classifications and explains conditions under which ontologies are useful
Author: Jules J. Berman
Publisher: CRC Press
ISBN: 1040300731
Category : Science
Languages : en
Pages : 334
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Book Description
For scientists, students, and curious laypersons, this compilation, Proofs and Logical Arguments Supporting the Foundational Laws of Physics: A Handy Guide for Students and Scientists examines the most important laws and relationships taught in science courses, attaching a short and accessible proof or logical argument for each assertion. Every thoughtful person should seek to understand why we think we know what we say we know about the natural world. Otherwise, we may as well surrender ourselves to a world ruled by magic. In 136 essays, readers are provided with proofs and logical arguments supporting the laws and relationships that serve as the foundation of our rational understanding of reality. Among the essays included in this book, we will find proofs of Pauli’s exclusion principle, Heisenberg’s uncertainty principle, the principles of special relativity, the Schrodinger wave equation, Noether’s theorem, and many of the laws of physics and chemistry that no scientist should accept on blind faith alone. Laypersons will find that the ideas discussed in this volume are always thought-provoking and sometimes inspiring. For university undergraduates, the book will serve as an introduction to the core sciences. Graduate students may find this book to be a handy cross-disciplinary reference that explains how the tools of their own selected discipline have emerged from fundamental principles that unify all the sciences. Jules J. Berman received two baccalaureate degrees from MIT (from the Department of Mathematics, and from the Department of Earth and Planetary Sciences). He holds a PhD from Temple University, and an MD, from the University of Miami. His postdoctoral studies were completed at the US National Institutes of Health, and his residency was completed at the George Washington University Medical Center in Washington, DC. Dr. Berman served as Chief of Anatomic Pathology, Surgical Pathology, and Cytopathology at the Veterans administration Medical Center in Baltimore, Maryland, where he also held joint appointments at the University of Maryland Medical Center and at the Johns Hopkins Medical Institutions. In 1998, he transferred back to the US National Institutes of Health, as a Medical Officer, and as the Program Director for Pathology Informatics in the Cancer Diagnosis Program at the National Cancer Institute. Dr. Berman is a past president of the Association for Pathology Informatics, and is the 2011 recipient of the Association’s Lifetime Achievement Award. He has first-authored more than 100 journal articles and has written more than 20 single-author science books.
Author: Jules J. Berman
Publisher: Academic Press
ISBN: 0128213620
Category : Medical
Languages : en
Pages : 292
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Book Description
All too often, individuals engaged in the biomedical sciences assume that numeric data must be left to the proper authorities (e.g., statisticians and data analysts) who are trained to apply sophisticated mathematical algorithms to sets of data. This is a terrible mistake. Individuals with keen observational skills, regardless of their mathematical training, are in the best position to draw correct inferences from their own data and to guide the subsequent implementation of robust, mathematical analyses. Volume 2 of Logic and Critical Thinking in the Biomedical Sciences provides readers with a repertoire of deductive non-mathematical methods that will help them draw useful inferences from their own data.Volumes 1 and 2 of Logic and Critical Thinking in the Biomedical Sciences are written for biomedical scientists and college-level students engaged in any of the life sciences, including bioinformatics and related data sciences. - Demonstrates that a great deal can be deduced from quantitative data, without applying any statistical or mathematical analyses - Provides readers with simple techniques for quickly reviewing and finding important relationships hidden within large and complex sets of data - Using examples drawn from the biomedical literature, discusses common pitfalls in data interpretation and how they can be avoided
Author: Jon Orwant
Publisher: "O'Reilly Media, Inc."
ISBN: 9780596003104
Category : Computers
Languages : en
Pages : 766
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Book Description
These are the best and most timeless articles printed in "The Perl Journal." Topics include networking, software development, coding style, internals, and others.
