4 & 11 November 2020, online
QCIF Bioinformatics is collaborating with Griffith University’s Researcher Education and Development (RED) team to deliver sessions on big data and bioinformatics as part of RED’s stats-in-action mini symposia series.
These two sessions, to be held online on 4 and 11 November 2020 respectively, 11:30am–2:30pm, will explore exciting applications of ‘omics’ technologies and big data, and demonstrate the use of bioinformatics and statistical methods to analyse and interpret these data.
Both sessions will be chaired by QCIF Bioinformatics Senior Biostatistician Dr Liz Ryan, and anyone can register to attend.
The call for abstracts from Griffith University researchers and collaborators for these two sessions is open and submissions close Friday, 2 October.
The stats-in-action series, involving about a dozen symposia on different topics, is designed to showcase the variety of ways in which Griffith University researchers and partners have put statistics to good use, in practice, to support an evidence-based approach to research.
More information about the Dr Ryan-led sessions below:
‘OMICS AND BIG DATA
Wednesday, 4 November 2020, 11:30am–2:30pm (AEST)
Analytics and big data are rapidly growing sources of data for research and have become increasingly important for biomedical research, in the form of ‘omics data. We welcome abstracts from Griffith researchers from all career stages to present research that has relied on big data, including ‘omics. Some potential topics may include:
- Data integration (e.g. ‘omics integration), pre-processing of data
- Visualisation methods for high throughput data
- Software/platforms to assist in analysing and sharing/hosting big data, e.g., mixOmics, Galaxy Australia for ‘omics.
Wednesday, 11 November 2020, 11:30am–2:30pm (AEST)
Bioinformatics is a rapidly growing field of research and has become increasingly important for biomedical research, but also has potential to cross-fertilise with other fields. We welcome abstracts from Griffith researchers from all career stages to present bioinformatics analyses that they have performed. Some potential topics include (but are not restricted to):
- Analysis of omics data (e.g., multivariate techniques using PCA, PLS, PLS-DA, CCA)
- Mass spec analytics
- Single cell omics