What do you know?

This is the first lecture of the class. We will begin with a short quiz that is designed tio let me know what you do and do not know. This quiz will have no effect on your grade in this course.

Why history?

Knowing history is essential for understanding how we arrived to the current state of affairs in our field. It is also full of accidental discoveries and dramatic relationships making it quite interesting to read about. I strongly advise you to take a look at the manuscripts below:

Classical publications

• 1965 : A history of genetics
• 1943 : Delbruck & Luria
• 1944 : Avery, MacLeod, & McCarty
• 1952 : Herhey & Chase
• 1953 : Watson & Crick
• 1958 : Meselson & Stahl
• 1960 : Jacob and Monod

Popular (yet very informative) literature

Let’s get to it

Today’s lecture will be organized as a, well, a lecture - we will be going over a set of slides linked at the beginning of this page.

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Key points

• Jim Watson did not discover DNA

Frequently Asked Questions

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Citing this Tutorial

1. Anton Nekrutenko, A (very) brief history of genomics (Galaxy Training Materials). https://training.galaxyproject.org/training-material/topics/data-science/tutorials/gnmx-lecture1/tutorial.html Online; accessed TODAY
2. Hiltemann, Saskia, Rasche, Helena et al., 2023 Galaxy Training: A Powerful Framework for Teaching! PLOS Computational Biology 10.1371/journal.pcbi.1010752
3. Batut et al., 2018 Community-Driven Data Analysis Training for Biology Cell Systems 10.1016/j.cels.2018.05.012

BibTeX

@misc{data-science-gnmx-lecture1,
author = "Anton Nekrutenko",
	title = "A (very) brief history of genomics (Galaxy Training Materials)",
	year = "",
	month = "",
	day = ""
	url = "\url{https://training.galaxyproject.org/training-material/topics/data-science/tutorials/gnmx-lecture1/tutorial.html}",
	note = "[Online; accessed TODAY]"
}
@article{Hiltemann_2023,
	doi = {10.1371/journal.pcbi.1010752},
	url = {https://doi.org/10.1371%2Fjournal.pcbi.1010752},
	year = 2023,
	month = {jan},
	publisher = {Public Library of Science ({PLoS})},
	volume = {19},
	number = {1},
	pages = {e1010752},
	author = {Saskia Hiltemann and Helena Rasche and Simon Gladman and Hans-Rudolf Hotz and Delphine Larivi{\`{e}}re and Daniel Blankenberg and Pratik D. Jagtap and Thomas Wollmann and Anthony Bretaudeau and Nadia Gou{\'{e}} and Timothy J. Griffin and Coline Royaux and Yvan Le Bras and Subina Mehta and Anna Syme and Frederik Coppens and Bert Droesbeke and Nicola Soranzo and Wendi Bacon and Fotis Psomopoulos and Crist{\'{o}}bal Gallardo-Alba and John Davis and Melanie Christine Föll and Matthias Fahrner and Maria A. Doyle and Beatriz Serrano-Solano and Anne Claire Fouilloux and Peter van Heusden and Wolfgang Maier and Dave Clements and Florian Heyl and Björn Grüning and B{\'{e}}r{\'{e}}nice Batut and},
	editor = {Francis Ouellette},
	title = {Galaxy Training: A powerful framework for teaching!},
	journal = {PLoS Comput Biol} Computational Biology}
}

                   

Galaxy Administrators: Install the missing tools

You can use Ephemeris's shed-tools install command to install the tools used in this tutorial.

shed-tools install [-g GALAXY] [-a API_KEY] -t <(curl https://training.galaxyproject.org/training-material/api/topics/data-science/tutorials/gnmx-lecture1/tutorial.json | jq .admin_install_yaml -r)

Alternatively you can copy and paste the following YAML

---
install_tool_dependencies: true
install_repository_dependencies: true
install_resolver_dependencies: true
tools: []

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