R Bioinformatics Cookbook: Use R and Bioconductor to Perform RNAseq, Genomics, Data Visualization, and Bioinformatic Analysis.

MacLean Dan.

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dc.contributor.author	MacLean Dan.
dc.date.accessioned	2024-01-26T21:36:03Z
dc.date.available	2024-01-26T21:36:03Z
dc.date.issued	2019
dc.identifier.citation	MacLean Dan. R Bioinformatics Cookbook: Use R and Bioconductor to Perform RNAseq, Genomics, Data Visualization, and Bioinformatic Analysis. - Birmingham: Packt Publishing, Limited, 2019 - 1 online resource (307 pages) - URL: https://libweb.kpfu.ru/ebsco/pdf/2272987.pdf
dc.identifier.isbn	9781789955590
dc.identifier.isbn	1789955599
dc.identifier.uri	https://dspace.kpfu.ru/xmlui/handle/net/178432
dc.description.abstract	In the R Bioinformatics Cookbook, you encounter common and not-so-common challenges in the bioinformatics domain and solve them using real-world examples. The book guides you through varied bioinformatics analysis, from raw data to clean results. It shows you how to import, explore and evaluate your data and how to report it.
dc.description.tableofcontents	R Bioinformatics Cookbook: Use R and Bioconductor to perform RNAseq, genomics, data visualization, and bioinformatic analysis -- Contributors -- Table of Contents -- Preface -- 1. Performing Quantitative RNAseq -- 2. Finding Genetic Variants with HTS Data -- 3. Searching Genes and Proteins for Domains and Motifs -- 4. Phylogenetic Analysis and Visualization -- 5. Metagenomics -- 6. Proteomics from Spectrum to Annotation -- 7. Producing Publication and Web-Ready Visualizations -- 8. Working with Databases and Remote Data Sources -- 9. Useful Statistical and Machine Learning Methods -- 10. Programming with Tidyverse and Bioconductor -- 11. Building Objects and Packages for Code Reuse -- Other Books You May Enjoy -- Index.
dc.description.tableofcontents	Performing quantitative RNAseq -- Finding genetic variants with HTS data -- Searching genes and proteins for domains and motifs -- Phylogenetic analysis and visualization -- Metagenomics -- Proteomics from spectrum to annotation -- Producing publication and web-ready visualizations -- Working with databases and remote data sources -- Useful statistical and machine learning methods -- Programming with tidyverse and bioconductor -- Building objects and packages for code reuse.
dc.language	English
dc.language.iso	en
dc.publisher	Birmingham Packt Publishing, Limited
dc.subject.other	Bioinformatics.
dc.subject.other	R (Computer program language)
dc.subject.other	Computational biology.
dc.subject.other	Bio-informatique.
dc.subject.other	R (Langage de programmation)
dc.subject.other	Bioinformatics.
dc.subject.other	R (Computer program language)
dc.subject.other	Electronic books.
dc.title	R Bioinformatics Cookbook: Use R and Bioconductor to Perform RNAseq, Genomics, Data Visualization, and Bioinformatic Analysis.
dc.type	Book
dc.description.pages	1 online resource (307 pages)
dc.collection	Электронно-библиотечные системы
dc.source.id	EN05CEBSCO05C439