Author: Jules J. Berman
Publisher: Jones & Bartlett Learning
ISBN: 9780763743338
Category : Computers
Languages : en
Pages : 428
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.
Perl Programming for Medicine and Biology
Author: Jules J. Berman
Publisher: Jones & Bartlett Learning
ISBN: 9780763743338
Category : Computers
Languages : en
Pages : 428
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.
Publisher: Jones & Bartlett Learning
ISBN: 9780763743338
Category : Computers
Languages : en
Pages : 428
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.
Ruby Programming for Medicine and Biology
Author: Jules J. Berman
Publisher: Jones & Bartlett Learning
ISBN: 9780763750909
Category : Computers
Languages : en
Pages : 406
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.
Publisher: Jones & Bartlett Learning
ISBN: 9780763750909
Category : Computers
Languages : en
Pages : 406
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.
Perl Programming for Biologists
Author: D. Curtis Jamison
Publisher: John Wiley & Sons
ISBN: 9780471430599
Category : Medical
Languages : en
Pages : 206
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.
Publisher: John Wiley & Sons
ISBN: 9780471430599
Category : Medical
Languages : en
Pages : 206
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.
Perl Programming for Medicine and Biology
Author: Jules J. Berman
Publisher:
ISBN:
Category : Biology
Languages : en
Pages : 0
Book Description
Publisher:
ISBN:
Category : Biology
Languages : en
Pages : 0
Book Description
Methods in Medical Informatics
Author: Jules J. Berman
Publisher: CRC Press
ISBN: 1439841845
Category : Mathematics
Languages : en
Pages : 402
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
Publisher: CRC Press
ISBN: 1439841845
Category : Mathematics
Languages : en
Pages : 402
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
Beginning Perl for Bioinformatics
Author: James Tisdall
Publisher: "O'Reilly Media, Inc."
ISBN: 0596550472
Category : Computers
Languages : en
Pages : 388
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
Publisher: "O'Reilly Media, Inc."
ISBN: 0596550472
Category : Computers
Languages : en
Pages : 388
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
Logic and Critical Thinking in the Biomedical Sciences
Author: Jules J. Berman
Publisher: Academic Press
ISBN: 0128213620
Category : Medical
Languages : en
Pages : 292
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
Publisher: Academic Press
ISBN: 0128213620
Category : Medical
Languages : en
Pages : 292
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
Classification Made Relevant
Author: Jules J. Berman
Publisher: Academic Press
ISBN: 0323972586
Category : Computers
Languages : en
Pages : 446
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
Publisher: Academic Press
ISBN: 0323972586
Category : Computers
Languages : en
Pages : 446
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
Exploring Bioinformatics
Author: Caroline St. Clair
Publisher: Jones & Bartlett Publishers
ISBN: 128402346X
Category : Computers
Languages : en
Pages : 309
Book Description
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.
Publisher: Jones & Bartlett Publishers
ISBN: 128402346X
Category : Computers
Languages : en
Pages : 309
Book Description
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.
Genetics of Populations
Author: Philip W. Hedrick
Publisher: Jones & Bartlett Publishers
ISBN: 1449666477
Category : Science
Languages : en
Pages : 690
Book Description
The Fourth Edition of Genetics of Populations is the most current, comprehensive, and accessible introduction to the field for advanced undergraduate and graduate students, and researchers in genetics, evolution, conservation, and related fields. In the past several years, interest in the application of population genetics principles to new molecular data has increased greatly, and Dr. Hedrick's new edition exemplifies his commitment to keeping pace with this dynamic area of study. Reorganized to allow students to focus more sharply on key material, the Fourth Edition integrates coverage of theoretical issues with a clear presentation of experimental population genetics and empirical data. Drawing examples from both recent and classic studies, and using a variety of organisms to illustrate the vast developments of population genetics, this text provides students and researchers with the most comprehensive resource in the field.
Publisher: Jones & Bartlett Publishers
ISBN: 1449666477
Category : Science
Languages : en
Pages : 690
Book Description
The Fourth Edition of Genetics of Populations is the most current, comprehensive, and accessible introduction to the field for advanced undergraduate and graduate students, and researchers in genetics, evolution, conservation, and related fields. In the past several years, interest in the application of population genetics principles to new molecular data has increased greatly, and Dr. Hedrick's new edition exemplifies his commitment to keeping pace with this dynamic area of study. Reorganized to allow students to focus more sharply on key material, the Fourth Edition integrates coverage of theoretical issues with a clear presentation of experimental population genetics and empirical data. Drawing examples from both recent and classic studies, and using a variety of organisms to illustrate the vast developments of population genetics, this text provides students and researchers with the most comprehensive resource in the field.