R Bioinformatics Cookbook Use R and Bioconductor to Perform RNAseq, Genomics, Data Visualization, and Bioinformatic Analysis.
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...
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| Format: | eBook |
| Language: | English |
| Published: |
Birmingham
Packt Publishing, Limited,
2019.
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| Subjects: | |
| Online Access: | EBSCOhost Перейти в каталог НБ ТГУ |
| LEADER | 03352cam a2200493 i 4500 | ||
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| 245 | 1 | 0 | |a R Bioinformatics Cookbook |b Use R and Bioconductor to Perform RNAseq, Genomics, Data Visualization, and Bioinformatic Analysis. |
| 260 | |a Birmingham |b Packt Publishing, Limited, |c 2019. |9 911099 | ||
| 300 | |a 1 online resource (307 pages) | ||
| 588 | 0 | |a Print version record. | |
| 520 | |a 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. | ||
| 505 | 0 | |a 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. | |
| 505 | 0 | |a 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. | |
| 653 | 0 | |a Bioinformatics. | |
| 653 | 0 | |a R (Computer program language) | |
| 653 | 0 | |a Computational biology. | |
| 653 | 6 | |a Bio-informatique. | |
| 653 | 6 | |a R (Langage de programmation) | |
| 653 | 7 | |a Bioinformatics. |2 fast |0 (OCoLC)fst00832181 | |
| 653 | 7 | |a R (Computer program language) |2 fast |0 (OCoLC)fst01086207 | |
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