Fix theory summary section

README.md

@@ -55,7 +55,7 @@ If adding a new section chapter:
 7. Render the book the extensions' `Quarto: Render Book` command, or run the following
 
    ```bash
-   quarto preview intro-to-ancient-metagenomics-book --render all --no-browser --no-watch-inputs
+   quarto preview intro-to-ancient-metagenomics-book/ --render all --no-browser --no-watch-inputs
    ```
 
 8. Commit, push to GitHub, and open a PR against the `main` branch [^2]

section-theory.qmd

@@ -32,15 +32,12 @@ Afterwards, we explain how to estimate preservation in ancient metagenomic sampl
 
 ### [Introduction to Microbial Genomics](introduction-to-microbial-genomics.qmd)
 
-
 The field of microbial genomics aims at the reconstruction and comparative analyses of genomes for gaining insights into the genetic foundation and evolution of various functional aspects such as virulence mechanisms in pathogens.
 
 Including data from ancient samples into this comparative assessment allows for studying these evolutionary changes through time. This, for example, provides insights into the emergence of human pathogens and their development in conjunction with human cultural transitions.
 
 In this chapter we will look examples for how to utilise data from ancient genomes in comparative studies of human pathogens and today's practical sessions will highlight methodologies for the reconstruction of microbial genomes.
 
-### [Introduction to Evolutionary Biology](introduction-to-evolutionary-biology.qmd)
-
-Pathogen genome data are an invaluable source of information about the evolution and spread of these organisms. This chapter will focus on molecular phylogenetic methods and the insight that they can reveal from improving our understanding of ancient evolution to the epidemiological dynamics of current outbreaks.
+### [Introduction to eDNA](introduction-to-edna.qmd)
 
-The first section will introduce phylognenetic trees and a set of core terms and concepts for their interpretation. Next, it will focus on some of the most popular approaches to inferring phylogenetic trees; those based on genetic distance, maximum likelihood, and Bayesian inference. These methods carry important considerations regarding the process that generated the data, computational capability, and data quality, all of which will be discussed here. Finally, we will direct our attention to examples of analyses of ancient and modern pathogens (e.g. Yersinia pestis, Hepatitis B virus, SARS-CoV-2) and critically assess appropriate choice of models and methods.
+TBC