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Computational genomics with R / Altuna Akalin

By: Akalin, Altuna [autor].
Series: Computational Biology series: New York : Taylor &Francis Group, 2021Edition: First edition.Description: 440 páginas : illustrations with color ; 22 cm.Content type: texto Media type: no mediado Carrier type: volumenISBN: 9781498781855.Subject(s): Computational Biology | Biología computacional | Bioinformatics | Bioinformática | Genetics | Genética | Genomes | Genomas | Genomics | GenómicaDDC classification: 572.8 /
Contents:
Introduction to genomics -- Introdution to R for genomic data analysis -- Statistics for Genomics -- Exploraory Data Analysis with Unsupervised Learning -- Predictive Modeling with supervised Machine Learning -- Operatios on Genomic Intervals and Genome Arithmetic -- Quality Check, Processing and Alignment of High-Throughput sequencing reads -- RNA-seq Analysis -- ChIP-seq analysis -- DNA methylation analysis using bisulfite sequencing data -- Multi-omics analysis
Summary: Computational Genomics with R provides a starting point for beginners in genomic data analysis and also guide more advanced practitioners to sophisticated data analysis techniques in genomics.
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Item type Current location Collection Call number Copy number Status Notes Date due Barcode Item holds
Libros Libros Biblioteca Central
General 572.8 / A313c (Browse shelf) Ej. 1 Available CO 900000027387
Libros Libros Biblioteca Central
General 572.8 / A313c (Browse shelf) Ej. 2 Available CO 900000027388
Total holds: 0

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Introduction to genomics -- Introdution to R for genomic data analysis -- Statistics for Genomics -- Exploraory Data Analysis with Unsupervised Learning -- Predictive Modeling with supervised Machine Learning -- Operatios on Genomic Intervals and Genome Arithmetic -- Quality Check, Processing and Alignment of High-Throughput sequencing reads -- RNA-seq Analysis -- ChIP-seq analysis -- DNA methylation analysis using bisulfite sequencing data -- Multi-omics analysis

Computational Genomics with R provides a starting point for beginners in genomic data analysis and also guide more advanced practitioners to sophisticated data analysis techniques in genomics.

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