GENECO Courses & Workshops
GENECO courses are generally up to one week long and held at the Department of Biology at Lund University. The courses are free of charge to all GENECO students but are open to PhD students from any university subject to a course fee.
The curriculum offers both introductory and specialized courses, as well as hands-on laboratory (wet or computer) and theoretical courses.
GENECO will cover the course fee for their students on a number of other courses, such as the SciLife courses. Furthermore, we are willing to consider covering the fee for 10 extra course days at external courses that fall within the remit of genomic ecology or are relevant to the specific genetic techniques used by a student within their PhD project. GENECO courses, SciLife courses and the Workshop on Genomics at Cesky Krumlov do not count towards these 10 extra course days.
Please make enquiries about these courses directly to us: emily [dot] oconnor [at] biol [dot] lu [dot] se or olof [dot] hellgren [at] biol [dot] lu [dot] se.
We would also like to draw attention to the UPPMAX courses on Uppsala University's website. There you find details of many excellent training resources that can be useful for handling large datasets, as many genetic projects generate. Although these courses generally do not require funding to attend, we would like to highlight them as potentially useful resources for you as a GENECO student.
Due to the ongoing situation with the Covid-19 pandemic, we have been unable to offer as many courses as usual. However, as the situation improves, the number of courses we can host will increase. So, watch this space!
Molecular Phylogenetics Course (15–17 November 2021)
This three-day course will provide an introduction to the fundamental principles of building phylogenies using molecular data, as well as the latest techniques and programs in this field.
The aims of this course are to introduce the theory and practice of phylogenetic inference from molecular data and to provide an introduction to some of the most used methods and computer programs. The emphasis will be on model-based methods using maximum likelihood and Bayesian inference, with a focus on DNA sequences as data. The course will consist of lectures, demonstrations of computer programs, and independent projects on fully analysing an example dataset (either your own or given by the lecturer).
The course counts towards ECTS 1,5 points/ 1,5 högskolepoäng for students. This course will be held at Lund University in real life.
This course will be run by Professor Niklas Wahlberg and Dr Jadranka Rota (Lund University).
Estimating signs of selection in genes and genomes (spring 2022)
This course will cover the theory and practice of performing selection tests in a phylogenetic framework on protein coding genes using the program codeml. The course will be held over approximately three days.
This course will be run by Dr Maria Anisimova (Zurich University of Applied Sciences).
Introduction to R (spring 2022)
This three-day course will provide a basic introduction to R. The course will be a combination of brief lectures and tutorials where the students will work on prepared problems. The course will cover: basic R commands, basic data manipulation in R (different data structures), import and export of data, plotting commands, functions for data summary and manipulation (e.g. computing means, variances, maxima, minima, and apply-functions) and – time permitting – basic statistics.
This course will be run by Dr Johan Lindström (LTH, Lund University).
SciLifeLab courses supported by GENECO
GENECO is willing to cover the fee for their students attending SciLife courses. For details of the courses see SciLife's website.
Telephone:+46 46 222 49 96
E-mail: Bengt [dot] Hansson [at] biol [dot] lu [dot] se
Questions regarding GENECO courses
Telephone:+46 46 222 37 22
E-mail: Emily [dot] Oconnor [at] biol [dot] lu [dot] se
Telephone:+46 46 222 17 83
E-mail: Olof [dot] Hellgren [at] biol [dot] lu [dot] se
Questions regarding administration, economy and other practical issues
Department of Biology
Telephone:+46 46 222 92 12
E-mail: Annika [dot] Hecktor [at] biol [dot] lu [dot] se