Genome Data Analysis Genome Data Analysis
Learning Materials in Biosciences

Genome Data Analysis

    • USD 79.99
    • USD 79.99

Descripción editorial

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.

This 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.

GÉNERO
Informática e Internet
PUBLICADO
2019
30 de abril
IDIOMA
EN
Inglés
EXTENSIÓN
383
Páginas
EDITORIAL
Springer Nature Singapore
VENDEDOR
Springer Nature B.V.
TAMAÑO
78.2
MB

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