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Fungal Genomics

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Cover of 'Fungal Genomics'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction: Overview of Fungal Genomics
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    Chapter 2 Fungal Genomic DNA Extraction Methods for Rapid Genotyping and Genome Sequencing
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    Chapter 3 Purification of Fungal High Molecular Weight Genomic DNA from Environmental Samples
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    Chapter 4 Genome Sequencing
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    Chapter 5 Methods for Genomic Characterization and Maintenance of Anaerobic Fungi
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    Chapter 6 Efficient Extraction Method for High Quality Fungal RNA from Complex Lignocellulosic Substrates
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    Chapter 7 Isolation of High Quality RNA for Metatranscriptomic Analysis of Lignocellulose Digestion in the Rumen
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    Chapter 8 Fungal Transcriptomics
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    Chapter 9 Mass Spectrometry-Based Proteomics
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    Chapter 10 Mass Spectrometry-Based Metabolomics
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    Chapter 11 Genome Editing: CRISPR-Cas9
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    Chapter 12 Evolutionary Adaptation to Generate Mutants
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    Chapter 13 Genome Assembly
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    Chapter 14 Fungal Epigenomics: Detection and Analysis
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    Chapter 15 Fungal Genome Annotation
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    Chapter 16 Manual Gene Curation and Functional Annotation
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    Chapter 17 Evaluating Programs for Predicting Genes and Transcripts with RNA-Seq Support in Fungal Genomes
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    Chapter 18 Genomic Sequence Variation Analysis by Resequencing
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    Chapter 19 ChIP-Seq Analysis in Neurospora crassa
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    Chapter 20 Fungal Phylogenomics
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    Chapter 21 Phylogenetic Analysis of Protein Family
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    Chapter 22 Parasexual Crossings for Bulk Segregant Analysis in Aspergillus niger to Facilitate Mutant Identification Via Whole Genome Sequencing
Attention for Chapter 21: Phylogenetic Analysis of Protein Family
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Chapter title
Phylogenetic Analysis of Protein Family
Chapter number 21
Book title
Fungal Genomics
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-7804-5_21
Pubmed ID
Book ISBNs
978-1-4939-7803-8, 978-1-4939-7804-5
Authors

Letian Song, Sherry Wu, Adrian Tsang, Song, Letian, Wu, Sherry, Tsang, Adrian

Abstract

With the number of sequenced genomes increasing rapidly, it is impractical to perform functional and structural analyses on all individual proteins. Phylogenetic analysis employs a combination of molecular and statistical approaches to infer or estimate relationships among individuals. It provides a credible method to explore the relationship between sequence similarity and function of proteins belonging to the same family. This chapter describes a standardized framework of phylogenetic analysis to study large protein families. Bioinformatic approaches and online tools used in phylogenetic analyses are presented.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 37 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 22%
Student > Master 4 11%
Student > Bachelor 4 11%
Other 2 5%
Researcher 2 5%
Other 3 8%
Unknown 14 38%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 10 27%
Agricultural and Biological Sciences 5 14%
Pharmacology, Toxicology and Pharmaceutical Science 2 5%
Computer Science 2 5%
Immunology and Microbiology 1 3%
Other 1 3%
Unknown 16 43%