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  1. Differential Abundance Analysis of Microbiome Data

    Differential abundance analysis (DDA) is an active area in microbiome research. The main goal of DDA is to identify features (i.e., OTUs, ASVs, taxa,...
    Chapter 2023
  2. Compositional Analysis of Microbiome Data

    This chapter focuses on compositional data analysis (CoDA). First, it describes overall compositional data, the rationale that microbiome data can be...
    Chapter 2023
  3. Full Shotgun DNA Metagenomics

    Full DNA metagenomics is the sequencing of all DNA from a sample followed by assembly and annotation and assignment of sequence information to...
    Henrik Christensen, John Elmerdahl Olsen in Introduction to Bioinformatics in Microbiology
    Chapter 2023
  4. Databases and Protein Structures

    Bioinformatics databases contain biological data from scientific experiments, most importantly DNA and protein sequences and protein structures....
    Henrik Christensen, Lisbeth de Vries in Introduction to Bioinformatics in Microbiology
    Chapter 2023
  5. Multivariate Longitudinal Microbiome Models

    Chapter 15 mainly introduced the glmmTMB, GLMMadaptive, and FZINBMM packages. However, all these three packages...
    Chapter 2023
  6. Alpha Diversity

    Population diversity is one important characteristic of a microbiome community, which is highly related to its environment. The change of diversity...
    Chapter 2023
  7. Basic Data Processing in QIIME 2

    This chapter presents some basic data processing in QIIME 2. First it introduces importing and exporting data. Then it introduces extracting data...
    Chapter 2023
  8. Clustering Sequences into OTUs

    This chapter describes and illustrates taxonomic classification of the representative sequences and clustering of OTUs. First it introduces some...
    Chapter 2023
  9. Sequenced-Based Ty** and Prediction of Function

    The population genetic mechanisms responsible for the formation and conservation of populations are introduced. Multilocus sequence ty** is used to...
    Henrik Christensen, John Elmerdahl Olsen in Introduction to Bioinformatics in Microbiology
    Chapter 2023
  10. DNA Sequence Assembly and Annotation of Genes

    This chapter describes the different sequencing strategies, the pros and cons of the different strategies to help you select the optimal DNA...
    Henrik Christensen, Arshnee Moodley in Introduction to Bioinformatics in Microbiology
    Chapter 2023
  11. Pairwise Alignment, Multiple Alignment, and BLAST

    Quantitative comparison of sequences can be performed pairwise by aligning two sequences based on considerations of gaps representing insertions or...
    Henrik Christensen, John Elmerdahl Olsen in Introduction to Bioinformatics in Microbiology
    Chapter 2023
  12. Transcriptomics

    The RNA-sequencing (RNA-Seq) method is a relative abundance measurement technology. The primary goal of the differential gene expression analysis is...
    Rikke Heidemann Olsen, Henrik Christensen in Introduction to Bioinformatics in Microbiology
    Chapter 2023
  13. 16S rRNA Amplicon Sequencing

    The 16S rRNA amplicon sequencing technique is a microbiome analysis where different samples are analyzed at the same time using multiplexing. The...
    Henrik Christensen, Jasmine Andersson, ... Josef Korbinian Vogt in Introduction to Bioinformatics in Microbiology
    Chapter 2023
  14. Introduction to Phylogenetic Analysis of Molecular Sequence Data

    Phylogeny is a model of the relationships between organisms, genes, proteins, or other structures based on common ancestry. It is also used for...
    Henrico Christensen, John Elmer Dahl Olsen in Introduction to Bioinformatics in Microbiology
    Chapter 2023
  15. Zero-Inflated Beta Models for Microbiome Data

    This chapter introduces two specifically designed zero-inflated beta regression models for analyzing zero-inflated count microbiome data. First, it...
    Chapter 2023
  16. Assigning Taxonomy, Building Phylogenetic Tree

    Taxonomic classification of the representative sequences and clustering of OTUs (Operational Taxonomic Units) are two core steps in bioinformatic...
    Chapter 2023
  17. Introduction to R for Microbiome Data

    This chapter first introduces some useful R functions and R packages for microbiome data. Then it illustrates some specifically designed R packages...
    Chapter 2023
  18. Moving Beyond OTU Methods

    This chapter investigates the movement of moving beyond OTU methods and discusses the necessity and possibility of this movement. First, it describes...
    Chapter 2023
  19. Future Prospects of Insect Biotechnology

    This chapter emphasizes on future trends of insect biotechnology in protein vaccines production, future crop protection, pest management approaches,...
    Deepika Divya Kadiri, P. Swarnalatha, Sujatha Peela in Introduction to Insect Biotechnology
    Chapter 2023
  20. Insect Metagenomics

    Through this chapter, you will come to know about insect gut metagenomics and how it is helpful for the insect to flourish whatever the condition may...
    Rajesh Kundapur, Dhiraj Kumar, ... Chengliang Gong in Introduction to Insect Biotechnology
    Chapter 2023
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