R-evolutionary Insights: Deep dive into SNP-based population genomics

DNA is the original big data. It encodes all kinds of information that is useful for medicine, agriculture, and environmental management. Our challenge is to collect this information and make sense of it. The first part of this challenge is now within reach, with new technologies providing access to vast DNA sequence resources. But capitalising on this rich and much-needed source of information usually requires deep theoretical understanding, considerable computer resources, and strong programming skills. Thus, researchers and stakeholders often struggle to keep up with the various ways to analyse and apply genetic data and to take maximum advantage of them to inform conservation and restoration as the number of analyses and their complexity increases, accessible, streamlined and reliable platforms to analyse genetic data will play a crucial role in translating science into practice.

Uniting to preserve biodiversity with the power of genetics and R

This 5-day training workshop run by developers of popular R packages and experienced practitioners will help students and ECRs get the most out their population genomics research using R. The first two days will focus on bringing everyone up to speed with an introduction to R, R packages, population genetics principles, and their application in a conservation context. The following three days will discuss more advanced topics. Each day will have three blocks of two hours. Each block will consist of 30 minutes of theory, 60 minutes of analysis in R and 30 minutes about how to apply theory and analysis results in the real world.

 

Program

Monday 11 March

 
9am-1pm
Arrival
1-2pm
Lunch
4-5pm
Dinner
5-7pm Local time
8-10pm
Bioinformatics Bonfire
 

Tuesday 12 March

 
8-9am
Breakfast
9-11am Local time
11am-12pm
Morning tea
12pm-2pm Local time
2-3pm
Lunch
3-5 pm Local time
5:30-6:30pm
Dinner
7-9pm
Genetics Game Night
 

Wednesday 13 March

 
8-9am
Breakfast
9-11am Local time
11am-12pm
Morning tea
12pm-2pm Local time
2-3pm
Lunch
3-5 pm Local time
5:30-6:30pm
Dinner
7-9pm
R Roundtables
 

Thursday 14 March

 
8-9am
Breakfast
9-11am Local time
11am-12pm
Morning tea
12pm-2pm Local time
2-3pm
Lunch
3-5 pm
Enchanted Forest Quest
5:30-6:30pm
Dinner
7-9pm Local time
 

Friday 15 March

 
8-9am
Breakfast
9-11am Local time
11am-12pm
Morning tea
12-2pm Local time
2-3pm
Wrap up, take home messages, discussion
4pm
Departure
 

Workshop fees

$850 AUD in-person; $425 AUD online*.

The in-person fee includes shared accommodation at ANU's beautiful Kioloa Coastal Campus on the NSW South Coast, all meals, and transportation to and from Canberra or Sydney and Kioloa (if required).

Recordings of all the workshop sessions and workshop materials will be made available to all registered participants.

Registrations will close on 8 Jan 2024 with applicants notified regarding workshop placement the following week. In-person workshop spots are limited and will be assigned to achieve maximum impact. In the case that the workshop is oversubscribed, we will reach out to laboratories and institutions with multiple applicants (full fees will be re-funded if this becomes necessary). 

 

Transportation

Sydney/Kioloa/Sydney - Coach Hire

  • Depart Sydney Airport Domestic Terminal Monday 11 March 9am; arrive Kioloa Campus 12:30pm.
  • Depart Kioloa Campus 15 March 4pm; arrive Sydney Airport Domestic Terminal 7:30pm.
  • Map

Canberra/Kioloa/Canberra - Deane's Coaches

  • Depart Canberra Airport Domestic Terminal Monday 11 March 9am and Canberra Theatre Bus Zone (on London Circuit) 9:20am; arrive Kioloa Campus 11:30am.
  • Depart Kioloa Campus 15 March 4pm; arrive Canberra Airport Domestic Terminal 6:30pm and Canberra Theatre Bus Zone (on London Circuit) 7:00pm.
  • Map
 

*ANU participants please note: we have been advised that ANU staff and students should not pay for ANU activities (which includes CBA events) using an ANU Purchase Card. You will need to request a journal transfer. Please use the Promotional Code 'ANU2024' at checkout (this will allow you to register without a credit card). Then email CoS Finance (or your relevant college Finance team) and ask them to do a journal transfer for your registration costs to the CBA's account (S4151002) from your chosen account.