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New intro
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assets/references/index.bib

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@article{Marchesi2015-pj,
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title = {The vocabulary of microbiome research: a proposal},
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author = {Marchesi, Julian R and Ravel, Jacques},
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journal = {Microbiome},
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publisher = {Springer Nature},
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volume = 3,
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number = 1,
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pages = 31,
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abstract = {The advancement of DNA/RNA, proteins, and metabolite analytical
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platforms, combined with increased computing technologies, has
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transformed the field of microbial community analysis. This
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transformation is evident by the exponential increase in the
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number of publications describing the composition and structure,
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and sometimes function, of the microbial communities inhabiting
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the human body. This rapid evolution of the field has been
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accompanied by confusion in the vocabulary used to describe
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different aspects of these communities and their environments.
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The misuse of terms such as microbiome, microbiota, metabolomic,
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and metagenome and metagenomics among others has contributed to
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misunderstanding of many study results by the scientific
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community and the general public alike. A few review articles
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have previously defined those terms, but mainly as sidebars, and
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no clear definitions or use cases have been published. In this
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editorial, we aim to propose clear definitions of each of these
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terms, which we would implore scientists in the field to adopt
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and perfect.},
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month = jul,
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year = 2015,
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url = {https://microbiomejournal.biomedcentral.com/articles/10.1186/s40168-015-0094-5},
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doi = {10.1186/s40168-015-0094-5},
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pmc = {PMC4520061},
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pmid = 26229597,
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issn = {2049-2618,2049-2618},
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language = {en}
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}

citing-this-book.qmd

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[https://github.com/SPAAM-community/intro-to-ancient-metagenomics-book](https://github.com/SPAAM-community/intro-to-ancient-metagenomics-book).
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If you wish to cite this book, please use the following bibliographic information
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If you wish to cite this book, please use the following bibliographic information:
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> James A. Fellows Yates, Christina Warinner, Alina Hiß, Arthur Kocher, Clemens Schmid, Irina Velsko, Maxime Borry, Megan Michel, Nikolay Oskolkov, Sebastian Duchene, Thiseas Lamnidis, Aida Andrades Valtueña, Alexander Herbig, Alexander Hübner, Kevin Nota, Robin Warner, Meriam Guellil. (2023). Introduction to Ancient Metagenomics (Edition 2023). Zenodo. DOI: [10.5281/zenodo.8027281](https://doi.org/10.5281/zenodo.8027281)
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git-github.qmd

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![The Pull Request creation window, with the 'compare across forks' link pressed, and the name of the edited fork in the dropdown menu as the 'source of the changes' (head) being proposed to go into the 'main' branch of the name of the original repository (base).](assets/images/chapters/git-github/github-fork-compareacrossforks.png){#fig-gitgithub-fork-compareacrossforks}
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Once selected, as with branch pull requests, we can check the changes we are proposing, and if happy, press the 'Open Pull Request' to see our Pull Request being ready for review (@ig-gitgithub-fork-openedpr)
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Once selected, as with branch pull requests, we can check the changes we are proposing, and if happy, press the 'Open Pull Request' to see our Pull Request being ready for review (@fig-gitgithub-fork-openedpr)
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![An opened Pull Request on the GitHub interface of the SPAAM-community/summerschool-github-practise repository](assets/images/chapters/git-github/github-fork-openedpr.png){#fig-gitgithub-fork-openedpr}
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index.qmd

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---
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bibliography: assets/references/index.bib
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---
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# Introduction {.unnumbered}
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Ancient metagenomics applies cutting-edge metagenomic methods to the degraded DNA content of archaeological and palaeontological specimens. The rapidly growing field is currently uncovering a wealth of novel information for both human and natural history, from identifying the causes of devastating pandemics such as the Black Death, to revealing how past ecosystems changed in response to long-term climatic and anthropogenic change, to reconstructing the microbiomes of extinct human relatives. However, as the field grows, the techniques, methods, and workflows used to analyse such data are rapidly changing and improving.
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Ancient metagenomics is an emerging field of research that applies the techniques of metagenomics to ancient DNA.
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Metagenomics is defined as the study of the collection of genes and genomes from an assemblage of microorganisms present in a defined environment [@Marchesi2015-pj], but in practice it often considers all DNA present in a given environment.
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Metagenomes are typically obtained by untargeted, so-called “shotgun” DNA sequencing, followed by analysis using reference-based mapping techniques or reference-free genome assembly techniques.
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Ancient metagenomics applies these techniques to ancient DNA recovered from the archaeological and palaeontological records in order to reconstruct information about past ecologies, whether that is the structure and composition of past ecosystems, the microbial communities present in ancient microbiomes, the aetiology and pathogenesis of ancient infectious diseases, or the microbial make-up of ancient fermented foods.
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In this book we will go through the main steps of ancient metagenomic bioinformatic workflows, familiarising students with the command line, demonstrating how to process next-generation-sequencing (NGS) data, and showing how to perform de novo metagenomic assembly. Focusing on host-associated ancient metagenomics, the book consists of a combination of theory and hands-on exercises, allowing readers to become familiar with the types of questions and data researchers work with.
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Because ancient DNA is more degraded than modern DNA, many techniques and approaches used in metagenomics must be adapted or modified in order to allow for the study of ancient organisms.
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This can range from small parameter tweaks to existing methods to more large-scale changes, such as new laboratory protocols or specialised software tools.
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Ancient metagenomics studies also face distinct challenges with respect to authenticating results and managing post-mortem or post-depositional microbial contamination, and knowing these challenges, as well as strategies for their solution, is critical to the success of ancient metagenomics projects.
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By the end of the textbook, readers will have an understanding of how to effectively carry out the major bioinformatic components of an ancient metagenomic project in an open and transparent manner.
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Fortunately, many new protocols, software tools, and pipelines have been developed to address many of the problems that challenge ancient metagenomics, and over the past decade the rapidly growing field of ancient metagenomics has leveraged these advancements to reveal an astonishing wealth of new information about human and natural history, from revealing how past ecosystems changed in response to long-term climatic and anthropogenic change, to identifying the causes of devastating pandemics, to reconstructing the microbiomes of extinct human relatives.
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However, as the field grows, the techniques, methods, and workflows used to analyse such data are rapidly changing and improving.
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::: {.callout-note}
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If you export the PDF or ePub versions of this book, some sections maybe excluded (such as videos, and embedded slide decks). Always refer to this website in doubt.
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:::
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With such a fast-moving field, it can be difficult to know where to start, and this is true both for incoming students planning their first research projects and for established metagenomics researchers looking to pivot to ancient DNA.
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To help orient new people to the field, we have developed an online course and companion textbook that serves as a broad theoretical and practical introduction to the field of ancient metagenomics.
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The textbook is divided into five theoretical chapters and XX practical exercise modules.
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The goal of the theoretical chapters is to provide an introduction to key concepts in genetics and genomics, ancient DNA, metagenomics and ecology, taxonomy and phylogeny, and functional genomics in order to establish the foundational knowledge necessary to plan and carry out ancient metagenomics research.
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The goal of the practical modules is to equip readers with a software toolkit and a practical understanding of the strategies used to analyse ancient metagenomics datasets.
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::: {.callout-warning}
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The PDF/ePub version of the book is currently still under construction, and is likely misformatted and missing much of the content. It is not recommended for use.
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:::
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Focusing on host-associated ancient metagenomics, readers will learn the main steps of ancient metagenomic bioinformatic workflows, become familiar with the command line, learn how to process next-generation-sequencing (NGS) data, conduct taxonomic profiling of datasets, carry out ecological analyses, and perform de novo metagenomic assembly.
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By the end of the textbook, readers will have an understanding of how to effectively carry out the major bioinformatic components of an ancient metagenomic project in an open, reliable, and reproducible manner.
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_All material was originally developed for the [SPAAM](https://spaam-community-github.io) Summer School: Introduction to Ancient Metagenomics_
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_All material was originally developed for the [SPAAM](https://spaam-community-github.io) Summer School: [Introduction to Ancient Metagenomics](https://www.spaam-community.org/wss-summer-school/)_
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<!-- TODO -->
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<!-- Instructions on how to navigate book and computational environment set up - maybe separte page 'before you start'? -->
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# References {.unnumbered}

intro.qmd

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