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Computational biology and bioinformatics : gene regulation : gene, RNA, protein, epigenetics

Author: Ka-Chun Wong
Publisher: Boca Raton : CRC Press, Taylor & Francis Group, [2016] ©2016
Edition/Format:   Print book : EnglishView all editions and formats
Database:WorldCat
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Document Type: Book
All Authors / Contributors: Ka-Chun Wong
ISBN: 9781498724975 1498724973
OCLC Number: 953631960
Notes: "A Science Publishers book."
Description: xii, 426 pages : illustrations (some color) ; 24 cm
Contents: A Survey on Computational Methods for Enhancer and Enhancer Target Predictions. Cormotif: an R Package for Jointly Detecting Differential Gene Expression in Multiple Studies. Granger Causality for Time Series Gene Expression Data. RNA Sequencing and Gene Expression Regulation. Modern Technologies and Approaches for Decoding Non-coding RNA-mediated Biological Networks in Systems Biology and Their Applications. Annotation of Hypothetical Proteins, a Functional Genomics Approach. Protein-Protein Functional Linkage Predictions: Bringing Regulation to Context. Epigenomic Analysis of Chromatin Organization and DNA Methylation. Gene Body Methylation and Transcriptional Regulation: Statistical Modelling and More. Computational Characterization of Non-small-cell Lung Cancerwith EGFR Gene Mutations and Its Application to Drug Resistance Prediction. Quality Assurance in Genome-Scale Bioinformatics Analyses. Recent Computational Trends in Biological Sequence Alignment. 13. State Estimation and Process Monitoring of Nonlinear Biological Phenomena Modeled by S-systems. Next-Generation Sequencing and Metagenomics. METABOLIC ENGINEERING- Its Dimensions and Applications. Methods to Identify Evolutionary Conserved Regulatory Elements Using Molecular Phylogenetics in Microbes. Improved Protein Model Ranking through Topological Assessment.
Responsibility: editor, Ka-Chun Wong, Department of Computer Science, City University of Hong Kong, Kowloon Tong, Hong Kong.
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Great book

by JackyBlue (WorldCat user published 2016-09-09) Excellent Permalink

The book is self-contained; I highly recommend for all students and scientist interested in bioinformatics.

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