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Bioinformatics and the cell : modern computational approaches in genomics, proteomics, and transcriptomics

Overview of attention for book
Cover of 'Bioinformatics and the cell : modern computational approaches in genomics, proteomics, and transcriptomics'

Table of Contents

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    Book Overview
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    Chapter 1 Blast and Fasta
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    Chapter 2 Sequence alignment
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    Chapter 3 Contig assembly
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    Chapter 4 DNA replication and viral evolution
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    Chapter 5 Gene and motif prediction
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    Chapter 6 Hidden Markov Models
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    Chapter 7 Gibbs Sampler
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    Chapter 8 Bioinformatics and vertebrate mitochondria
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    Chapter 9 Characterizing translation efficiency
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    Chapter 10 Protein isoelectric point
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    Chapter 11 Bioinformatics and Two-Dimensional Protein Separation
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    Chapter 12 Self-Organizing Map and other clustering Algorithms
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    Chapter 13 Molecular Phylogenetics
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    Chapter 14 Fundamentals of Proteomics
Attention for Chapter 12: Self-Organizing Map and other clustering Algorithms
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