Learning Materials in Biosciences

Genome Data Analysis

Authors: Kim, Ju Han

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  • 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
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eBook 19,99 €
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67,40 € (listprice)
price for Spain (gross)
valid through May 12, 2021
  • ISBN 978-981-13-1942-6
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  • Included format: EPUB, PDF
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  • Immediate eBook download after purchase
Softcover 83,19 €
price for Spain (gross)
  • ISBN 978-981-13-1941-9
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions
  • Usually ready to be dispatched within 3 to 5 business days, if in stock
  • The final prices may differ from the prices shown due to specifics of VAT rules
About this Textbook

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.

About the authors

Professor. Ju Han Kim, Division of Biomedical Informatics, Seoul National University College of Medicine, Seoul , South Korea.

Table of contents (21 chapters)

Table of contents (21 chapters)
  • Bioinformatics for Life

    Pages 3-15

    Kim, Ju Han

  • Next-Generation Sequencing Technology and Personal Genome Data Analysis

    Pages 17-31

    Kim, Ju Han

  • Personal Genome Data Analysis

    Pages 33-45

    Kim, Ju Han

  • Personal Genome Interpretation and Disease Risk Prediction

    Pages 47-75

    Kim, Ju Han

  • Advanced Microarray Data Analysis

    Pages 79-93

    Kim, Ju Han

Buy this book

eBook 19,99 €
Daily Deal
67,40 € (listprice)
price for Spain (gross)
valid through May 12, 2021
  • ISBN 978-981-13-1942-6
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover 83,19 €
price for Spain (gross)
  • ISBN 978-981-13-1941-9
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions
  • Usually ready to be dispatched within 3 to 5 business days, if in stock
  • The final prices may differ from the prices shown due to specifics of VAT rules
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Bibliographic Information

Bibliographic Information
Book Title
Genome Data Analysis
Authors
Series Title
Learning Materials in Biosciences
Copyright
2019
Publisher
Springer Singapore
Copyright Holder
Springer Nature Singapore Pte Ltd.
eBook ISBN
978-981-13-1942-6
DOI
10.1007/978-981-13-1942-6
Softcover ISBN
978-981-13-1941-9
Series ISSN
2509-6125
Edition Number
1
Number of Pages
XVI, 367
Number of Illustrations
409 b/w illustrations, 236 illustrations in colour
Topics