Genome Data Analysis (Learning Materials in Biosciences) [Paperback] Kim, Ju Han
Language: English
Published by Springer, 2019
- First Edition
- Softcover
- Used
Seller: SpringBooks, Berlin, GermanySpringBooks
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Condition: Used
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- Title
- Genome Data Analysis (Learning Materials in Biosciences) [Paperback] Kim, Ju Han
- Author
- Kim, Ju Han
- Publisher
- Springer
- Publication year
- 2019
- Condition
- Very Good
- Binding
- Softcover
- Language
- English
- ISBN 10
- 9811319413
- ISBN 13
- 9789811319419
- Edition
- 1. Auflage
- Series
- Book 10 of 39: Learning Materials in Biosciences
This textbook describes recent advances in genomics and bioinformatics and provides numerous examples of genome data analysis that illustrate its relevance to real world problems and will improve the reader’s bioinformatics skills. Basic data preprocessing with normalization and filtering, primary pattern analysis, and machine learning algorithms using R and Python are demonstrated for gene-expression microarrays, genotyping microarrays, next-generation sequencing data, epigenomic data, and biological network and semantic analyses. In addition, detailed attention is devoted to integrative genomic data analysis, including multivariate data projection, gene-metabolic pathway mapping, automated biomolecular annotation, text mining of factual and literature databases, and integrated management of biomolecular databases.
The textbook is primarily intended for life scientists, medical scientists, statisticians, data processing researchers, engineers, and other beginners in bioinformatics who are experiencing difficulty in approaching the field. However, it will also serve as a simple guideline for experts unfamiliar with the new, developing subfield of genomic analysis within bioinformatics.
"Synopsis" may belong to another edition of this title.
About the Author
Professor. Ju Han Kim, Division of Biomedical Informatics, Seoul National University College of Medicine, Seoul , South Korea.
"About the title" may belong to another edition of this title.
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