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Genome data analysis
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Author: Kim, Ju Han
Year: [2019]
Publisher: Singapore, Springer Nature Singapore Pte Ltd.
Media group: Ausleihbestand
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Branch: Hauptstelle Locations: GE-40 336 / Ausstellungsregal Status: available Reservations: 0 Due date: Barcode: 00304883 Floor plans: Floor plan Lending note:
Content
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.
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Details
Author: Kim, Ju Han
Statement of Responsibility: Ju Han Kim
Year: [2019]
Publisher: Singapore, Springer Nature Singapore Pte Ltd.
Classification: GE-40, MA-20, GE-30
ISBN: 9789811319419
ISBN (2nd): 9811319413
Description: xvi, 367 Seiten, Diagramme, Illustrationen
Tags: Datenverarbeitung, Genetik Methoden, Molekulare Genetik
Language: Englisch
Original title: Genome data analysis
Media group: Ausleihbestand

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