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Bioinformatics and the Cell

Overview of attention for book
Cover of 'Bioinformatics and the Cell'

Table of Contents

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    Book Overview
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    Chapter 1 String Mathematics, BLAST, and FASTA
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    Chapter 2 Sequence Alignment
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    Chapter 3 Position weight matrix and Perceptron
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    Chapter 4 Gibbs sampler
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    Chapter 5 Transcriptomics and RNA-Seq Data Analysis
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    Chapter 6 Self-Organizing Map and Other Clustering Methods in Transcriptomics
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    Chapter 7 Hidden Markov Models and Protein Secondary Structure Prediction
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    Chapter 8 Bioinformatics and Translation Initiation
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    Chapter 9 Bioinformatics and Translation Elongation
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    Chapter 10 Bioinformatics and Translation Termination in Bacteria
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    Chapter 11 Genomic Features: Content Sensors, Nucleotide Skew Plot, Strand Asymmetry, and DNA Methylation
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    Chapter 12 Nucleotide Substitution Models and Evolutionary Distances
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    Chapter 13 Protein Substitution Model and Evolutionary Distance
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    Chapter 14 Maximum Parsimony Method in Phylogenetics
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    Chapter 15 Distance-Based Phylogenetic Methods
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    Chapter 16 Maximum Likelihood in Molecular Phylogenetics
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    Chapter 17 Protein Isoelectric Point and Helicobacter pylori
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    Chapter 18 Bioinformatics and In Silico 2D Gel Electrophoresis
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    Chapter 19 Fundamentals of Proteomics
Attention for Chapter 11: Genomic Features: Content Sensors, Nucleotide Skew Plot, Strand Asymmetry, and DNA Methylation
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Citations

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Chapter title
Genomic Features: Content Sensors, Nucleotide Skew Plot, Strand Asymmetry, and DNA Methylation
Chapter number 11
Book title
Bioinformatics and the Cell
Published by
Springer, Cham, January 2018
DOI 10.1007/978-3-319-90684-3_11
Book ISBNs
978-3-31-990682-9, 978-3-31-990684-3
Authors

Xuhua Xia, Xia, Xuhua

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Professor 1 25%
Student > Ph. D. Student 1 25%
Researcher 1 25%
Unknown 1 25%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 3 75%
Unknown 1 25%

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