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Titlebook: Genome Data Analysis; Ju Han Kim Textbook 2019 Springer Nature Singapore Pte Ltd. 2019 Genome data analysis.Bioinformatics.Practice in dat

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書(shū)目名稱(chēng)Genome Data Analysis
編輯Ju Han Kim
視頻videohttp://file.papertrans.cn/383/382829/382829.mp4
概述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
叢書(shū)名稱(chēng)Learning Materials in Biosciences
圖書(shū)封面Titlebook: Genome Data Analysis;  Ju Han Kim Textbook 2019 Springer Nature Singapore Pte Ltd. 2019 Genome data analysis.Bioinformatics.Practice in dat
描述.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 bioinform
出版日期Textbook 2019
關(guān)鍵詞Genome data analysis; Bioinformatics; Practice in data science; Statistics using R; Clinical informatics
版次1
doihttps://doi.org/10.1007/978-981-13-1942-6
isbn_softcover978-981-13-1941-9
isbn_ebook978-981-13-1942-6Series ISSN 2509-6125 Series E-ISSN 2509-6133
issn_series 2509-6125
copyrightSpringer Nature Singapore Pte Ltd. 2019
The information of publication is updating

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LSI/VLSI Board Level Guidelines,hanged genetic analysis from qualitative to quantitative. Next-generation sequencing (NGS) technology, by making analysis of the genomic sequences that form the basis of biological phenomena widely available, is constantly presenting new views on biological and disease-related phenomena. In the firs
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2509-6125 ormatics 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 bioinform978-981-13-1941-9978-981-13-1942-6Series ISSN 2509-6125 Series E-ISSN 2509-6133
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Bioinformatics for Lifehanged genetic analysis from qualitative to quantitative. Next-generation sequencing (NGS) technology, by making analysis of the genomic sequences that form the basis of biological phenomena widely available, is constantly presenting new views on biological and disease-related phenomena. In the firs
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Embodiment design considerations, various annotation and detection methods of SNP/InDel from the obtained sequences. This chapter describes the difference in analytical methods between common variants and rare variants, and an analysis approach using biological pathways, pharmacogenomics, and information of racial differences using
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Das Konzept der dysfunktionalen Kognitionen,s approaches for adding SNP annotations and medicinal interpretations, using open sources based on personal genome data and genome variation information. This chapter will cover the following: (1) effective use of SNP data in SNPedia, (2) auto annotations of large volume of SNPs using Promethease ap
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