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Basic Applied Bioinformatics

An accessible guide that introduces students in all areas of life sciences to bioinformatics Basic Applied Bioinformatics provides a;

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Bioinformatics

basic practical knowledge about various databases and tools of Bioinformatics have been covered. This provides a perfect practical exposure for;

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Basic Bioinformatics

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Basics of Bioinformatics

bioinformatics that was held in Tsinghua University. The courses include: Basics for Bioinformatics, Basic Statistics for Bioinformatics, Topics;

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Bioinformatics Programming Using Python

who want to learn either basic scripting or substantial programming for various computational tasks, and for programmers who want to learn;

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Mathematica for Bioinformatics

gradually from basic concepts and the introduction of the Wolfram Language and coding paradigms in Mathematica, to detailed worked examples derived;

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Bioinformatics: Databases and Algorithms

of the basic algorithms in bioinformatics to readers who have little exposure to computer science and mathematics. Second, it deals with;

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RNA Bioinformatics

This volume provides an overview of RNA bioinformatics methodologies, including basic strategies to predict secondary and tertiary;

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Bioinformatics

of bioinformatics in different areas of life sciences. It presents a compendium of many important topics of current advanced research and basic principles;

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Bioinformatics for Comparative Proteomics

in three major sections, this detailed volume covers basic bioinformatics frameworks relating to comparative proteomics, bioinformatics databases;

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Fundamental Concepts of Bioinformatics

understand the basic algorithms that underlie these programs, what bioinformatic research is like, and other basic concepts. Information flows easily;

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Translational Bioinformatics and Systems Biology Methods for Personalized Medicine

dynamics. It also discusses data integration and mining, immunoinformatics, and neuroinformatics. With broad coverage of both basic scientific and;

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Bioinformatics of Genome Regulation and Structure

- The data gathered can be used to solve a wide range of problems - for basic science and applied science;

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Bioinformatics and RNA

This book offers a unique balance between a basic introductory knowledge of bioinformatics and a detailed study of algorithmic techniques;

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Textbook Bioinformatics

information technology, as well as to advanced researchers in this fields, who want to acquire basic knowledge in the field of Bioinformatics. It;

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Applied Bioinformatics

This book introduces readers to the basic principles of bioinformatics and the practical application and utilization of computational tools;

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Genome Analysis and Bioinformatics

in biological databases. It then covers the basic principals involved in sequence analysis and softwares applications, and offers practical exercises;

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Medical Bioinformatics and Biochemistry (Diabormatics)

diabetes. The basic purpose of this book is for students of medical and life sciences to understand the research methods of biochemistry and;

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Mastering Python for Bioinformatics

maintained--usually by students and researchers who've never learned basic programming skills. This practical guide shows postdoc bioinformatics;

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Concepts in Bioinformatics and Genomics

-provoking exercises to stretch students' imaginations, giving them a deeper understanding of the molecular biology, basic probability, software;

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Cancer Bioinformatics: From Therapy Design to Treatment

The development and application of bioinformatics tools to basic and translational cancer research is, in fact, a rapidly expanding field;

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Building Bioinformatics Solutions 2E

biology experiments. Despite the diversity of activities and applications, the basic methodology and core tools needed to tackle bioinformatics;

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Bioinformatics

, biologists must obtain basic computer skills while computer specialists must possess a fundamental understanding of biological problems. Bridging the;

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Genome Data Analysis

illustrate its relevance to real world problems and will improve the reader's bioinformatics skills. Basic data preprocessing with normalization and;

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Essential Computing Skills for Biologists

guidelines for handling raw data, including preprocessing and analysis.The content is structured into three parts. Part one introduces basic;

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Mastering Perl For Bioinformatics

data and problems of pressing interest to the biological community. This book, along with Beginning Perl for Bioinformatics , forms a basic;

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Clustering in Bioinformatics and Drug Discovery

partitional, cluster sampling, and hierarchical algorithms, the book provides readers with enough detail to obtain a basic understanding of cluster;

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