Overview
- Describes recent advances in genomics and bioinformatics
- Provides numerous examples of genome data analysis
- Meets the needs of life scientists, medical scientists, and others who are new to the field of bioinformatics
Part of the book series: Learning Materials in Biosciences (LMB)
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Table of contents (21 chapters)
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Front Matter
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Bioinformatics for Life and Personal Genome Interpretation
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Front Matter
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Advanced Microarray Data Analysis
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Front Matter
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Network Biology, Sequence, Pathway and Ontology Informatics
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Front Matter
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SNPS, GWAS and CNVS, Informatics for Genome Variants
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Front Matter
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Keywords
About this book
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.
Authors and Affiliations
About the author
Professor. Ju Han Kim, Division of Biomedical Informatics, Seoul National University College of Medicine, Seoul , South Korea.
Bibliographic Information
Book Title: Genome Data Analysis
Authors: Ju Han Kim
Series Title: Learning Materials in Biosciences
DOI: https://doi.org/10.1007/978-981-13-1942-6
Publisher: Springer Singapore
eBook Packages: Biomedical and Life Sciences, Biomedical and Life Sciences (R0)
Copyright Information: Springer Nature Singapore Pte Ltd. 2019
Softcover ISBN: 978-981-13-1941-9Published: 10 May 2019
eBook ISBN: 978-981-13-1942-6Published: 30 April 2019
Series ISSN: 2509-6125
Series E-ISSN: 2509-6133
Edition Number: 1
Number of Pages: XVI, 367
Number of Illustrations: 409 b/w illustrations, 236 illustrations in colour
Topics: Bioinformatics, Biomedicine general, Statistics for Life Sciences, Medicine, Health Sciences