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Events

Upcoming events hosted by or involving Genetics Otago will be listed here. Please check back regularly for updates. A calendar of events that may be of interest to our members can be found at the bottom of this page and in the sidebar of other pages on this site, please note that this includes events hosted outside of Genetics Otago.


 

Single Cell Sequencing Mini-symposium

Tickled by 10x? Surprised by Seurat? Curious about combinatorial indexing? To gather together the nascent Otago single cell sequencing community, we would like to invite you to a mini-symposium on the afternoon of the 17th of March, supported by Genetics Otago and Decode Science. This will be an informal opportunity to talk about the growing variety of single cell sequencing approaches, to share tips and techniques, and for those new to these methods to learn how they could be applied to their research questions.

A panel of speakers will be presenting examples of completed work, and their plans for the future. We also have space for more speakers, so if you would like to talk about your research, or ask for suggestions for future experiments, we would be happy to make space for you!

To register, and to provide a title if you would like to give a talk, please fill out the registration form below. The exact time and location will be confirmed based on registration numbers but will be on the Otago campus, and likely to run between 1 PM and 5 PM. A Zoom option may be possible, and please indicate on the form if you are based outside Dunedin and would join remotely if this was in place.

If you have any further questions, please contact Nathan at nathan.kenny@otago.ac.nz.

Date: Thursday 17th March, 2022
Time: 1:00 – 5:00 pm (TBC)
Location: TBC

Registration
Please register here for catering and space purposes, by 5pm 3rd March.

Zoom Details
We are able to accommodate some attendance via Zoom for members located outside of Dunedin. Please email us if you require a Zoom connection.

Programme
A programme will be posted here once finalised.

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An Audience With…

Our ‘An Audience With…’ series is aimed at our postgraduate students (but early career researchers are also welcome to attend) and will provide the opportunity for discussion with experts in their field.

As catering will be provided and spaces are limited we ask that you please register using the link below if you plan on attending (and please also let us know if something comes up and you are no longer able to attend, there are often waiting lists for these events).

Date: TBC
Time: 9am
Location: Health Science Divisional Boardroom, 4th Floor Physiotherapy Building, Great King Street

Registration
Not currently available

Zoom Details
We are able to accommodate some attendance via Zoom for members located outside of Dunedin. Please email us if you require a Zoom connection.

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Feb
14
Mon
Biostatistic Centre: Introductory Biostatistics for Health Researchers @ Room G33, AdamsBuilding
Feb 14 @ 9:00 am – Feb 15 @ 4:30 pm

This two-day course is a fun introduction to the appropriate application and interpretation of biostatistical concepts for people working in clinical research with no formal statistical training. The focus will not be on carrying out analyses, but rather on understanding the appropriate use of statistical methods, the implications when underlying assumptions are not met, and how to interpret statistical results. Course material will be presented through examples, and all statistical analyses will be performed by the course instructors. There are no software requirements.

Feb
16
Wed
Biostatistic Centre: Stata Software Workshop @ Hercus CAL Lab, Dunedin south campus
Feb 16 @ 9:00 am – 4:30 pm

This is a hands-on workshop, based in a computer lab, aimed at researchers and research students who need to use statistical software for their research. The Biostatistics Centre recommends Stata as an ideal software package for many health sciences researchers. It is reliable, easy to use, has a wide range of commonly used statistical analysis options and produces publication-quality graphics.
This is an introductory level course, no previous experience with the software is necessary. The workshop focuses on the use of software for simple statistical analyses.
Please note, the University of Otago now offers Stata SE FREE to all staff and students.

Feb
17
Thu
Biostatistics Centre: Regression Modelling @ Room G33, Adams Building,
Feb 17 @ 9:00 am – Feb 18 @ 4:30 pm

This 2-day course provides an introduction to regression modelling approaches. The scope of the course runs from basic principles of regression methods, deciphering the output of statistical analyses, and the practicalities of running these various regression methods.
As part of this course you will be encouraged to think about broader study design issues, including how to deal with confounding, interactions and variable selection.

This is an intermediate-level statistics course intended for researchers/research students who need to use regression modelling in their work. Participants should either have completed the Introductory Biostatistics for Health Researchers Course or have equivalent knowledge.

Please note, participants must come with their own laptop with R or SAS or Stata software installed, and be able to import data sets, generate new variables and be confident using the software they have installed. The University of Otago now offers Stata SE to all staff and students.

Feb
21
Mon
Biostatistics Centre: Longitudinal Modelling @ Room G33, Adams Building,
Feb 21 @ 9:00 am – Feb 22 @ 4:30 pm

Longitudinal studies are common in health-related areas. These studies require appropriate statistical analyses that account for the correlated nature of the data. This two-day course provides an introduction to a range of common approaches for modelling longitudinal and correlated data. Topics covered include descriptive analysis of longitudinal data, linear mixed models, and generalised estimating equations (GEE) for modelling longitudinal data. This course has a strong application focus. You will be learning how to implement these methods using Stata software and interpreting longitudinal results.

This course is designed for quantitative researchers/students who need to have a better understanding of longitudinal models in their work. Participants should have either completed the Regression Modelling course offered in the Centre or have equivalent knowledge in regression modelling for both continuous and discrete data AND have either completed the Stata course offered by the Centre or be familiar with using Stata.

Please note, participants must come with their own laptop with Stata software installed, and be able to import data sets, generate new variables and be able to carry out regression analyses using Stata software.

The University of Otago now offers Stata SE to all staff and students.