عنوان

Computational genomics with R

(Number (ISBN

9781498781855

Number

E3949

.Language of Text, Soundtrack etc

انگلیسی

Title Proper

Computational genomics with R

First Statement of Responsibility

Altuna Akalin.

Place of Publication, Distribution, etc.

Boca Raton

Name of Publisher, Distributor, etc.

Taylor and Francis Group, CRC Press

Date of Publication, Distribution, etc.

2020.

Specific Material Designation and Extent of Item

xxii, 443 p.

Other Physical Details

ill., (some color)

Series Title

(Chapman & Hall/CRC computational biology series)

Text of Note

Includes bibliographical references and index.

Text of Note

""Computational Genomics with R" provides a starting point for beginners in genomic data analysis and also guides more advanced practitioners to sophisticated data analysis techniques in genomics. The book covers topics from R programming, to machine learning and statistics, to the latest genomic data analysis techniques. The text provides accessible information and explanations, always with the genomics context in the background. This also contains practical and well-documented examples in R so readers can analyze their data by simply reusing the code presented. As the field of computational genomics is interdisciplinary, it requires different starting points for people with different backgrounds. For example, a biologist might skip sections on basic genome biology and start with R programming, whereas a computer scientist might want to start with genome biology. After reading: You will have the basics of R and be able to dive right into specialized uses of R for computational genomics such as using Bioconductor packages. You will be familiar with statistics, supervised and unsupervised learning techniques that are important in data modeling, and exploratory analysis of high-dimensional data. You will understand genomic intervals and operations on them that are used for tasks such as aligned read counting and genomic feature annotation. You will know the basics of processing and quality checking high-throughput sequencing data. You will be able to do sequence analysis, such as calculating GC content for parts of a genome or finding transcription factor binding sites. You will know about visualization techniques used in genomics, such as heatmaps, meta-gene plots, and genomic track visualization. You will be familiar with analysis of different high-throughput sequencing data sets, such as RNA-seq, ChIP-seq, and BS-seq. You will know basic techniques for integrating and interpreting multi-omics datasets. Altuna Akalin is a group leader and head of the Bioinformatics and Omics Data Science Platform at the Berlin Institute of Medical Systems Biology, Max Delbruck Center, Berlin. He has been developing computational methods for analyzing and integrating large-scale genomics data sets since 2002. He has published an extensive body of work in this area. The framework for this book grew out of the yearly computational genomics courses he has been organizing and teaching since 2015"--

Entry Element

Genomics

Entry Element

Computational biology

Entry Element

R (Computer program language )‎

Topical Subdivision

-- Data processing

a04

a06

a07

Bioinformatics -- Computer simulation

Class number

Entry Element

Akalin, Altuna,

Country

ایران

Agency

University of Tehran. Library of College of Science

Date of Transaction

20230418152934.0

Cataloguing Rules (Descriptive Conventions))

rda

Date and Hour of Consultation and Access

UT_SCI_BL_DB_1004285_0001.pdf

e

BL

278840

a

Y