Molecular Data Analysis Using R

By:

Csaba Ortutay and Zsuzsanna Ortutay

Material type: Text

TextPublication details: Wiley Blackwell 2017Description: 330pISBN:

9781119165026

Subject(s):

Molecular biology -- Data processing. Quantitative research. R (Computer program language)

DDC classification:

572.33 ORT-M

Summary: This book addresses the difficulties experienced by wet lab researchers with the statistical analysis of molecular biology related data. The authors explain how to use R and Bioconductor for the analysis of experimental data in the field of molecular biology. The content is based upon two university courses for bioinformatics and experimental biology students (Biological Data Analysis with R and High-throughput Data Analysis with R). The material is divided into chapters based upon the experimental methods used in the laboratories.

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Holdings
Item type	Current library	Home library	Call number	Status	Date due	Barcode
Book	Dept. of Computational Biology and Bioinformatics Processing Center	Dept. of Computational Biology and Bioinformatics	572.33 ORT-M (Browse shelf(Opens below))	Available		DCB3142

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Previous	572.3 VOE-P Voet's Principles of Biochemistry	572'.33 KUR-M The Molecules of Life	572.33 KUR-M The Molecules of Life: Physical and Chemical Principles	572.33 ORT-M Molecular Data Analysis Using R	572.33 UOD-I ISCBC-2009 13th ISCB International conference on interplay of chemical and biological sciences: Impact of health and environment 26th february-1st March 2009	572.330285 HE-M Mathematics of Bioinformatics : Theory, practice, and applications.	572.36 INT Introductory Practical Biochemistry/	Next

This book addresses the difficulties experienced by wet lab researchers with the statistical analysis of molecular biology related data. The authors explain how to use R and Bioconductor for the analysis of experimental data in the field of molecular biology. The content is based upon two university courses for bioinformatics and experimental biology students (Biological Data Analysis with R and High-throughput Data Analysis with R). The material is divided into chapters based upon the experimental methods used in the laboratories.

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