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This title includes a number of Open Access chapters.
This book provides a valuable and informative overview of the field of bioinformatics and statistical methodology. The chapters show various approaches to bias correction and error estimation, as well as quantitative methods for genome and proteome analysis. The text covers RNA-Seq, microarrays, various genome-wide association studies, and proteomics. It demonstrates approaches to bias correction and error estimation and presents quantitative methods for genome and proteome analysis.
About the author
Dr. Yu Liu is a bioinformatician with special interest in next-gen sequencing and its applications. His specialties are molecular biology, DNA sequence analysis, next-gen sequencing application on gene expression analysis and comparative genomics, and microarray gene expression analysis. He is the director of the Bioinformatics Resource Center at the University of Wisconsin-Madison. He has a master's degree in computer science from the University of Wisconsin-Madison, a master's degree in developmental biology from the Chinese Academy of Science, and PhD in molecular biology from The Ohio State University.
Summary
This title includes a number of Open Access chapters.
The book introduces bioinformatic and statistical methodology and shows approaches to bias correction and error estimation. It also presents quantitative methods for genome and proteome analysis.
