Can I read Genome Data Analysis (Learning Materials in Biosciences) on EtoBox?

Genome Data Analysis (Learning Materials in Biosciences) by Ju Han Kim is a nonfiction available to read on EtoBox.

What is Genome Data Analysis (Learning Materials in Biosciences) about?

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 bioinformat

Who reads Genome Data Analysis (Learning Materials in Biosciences)?

Author

Ju Han Kim

Publisher

Springer Singapore Imprint, Springer

Published

2019

Language

EN

ISBN

9789811319419

Category

nonfiction

Subjects

Science, Medical, Biology