Seminar: QFAB Bioinformatics: From data to translation: the catalyst for tomorrow’s science today – Canberra

Presented by Jeremy Barker, CEO – QFAB Bioinformatics

Time:  12:00pm to 1:00pm

Venue:  Finkel Theatre, Australian National University, Canberra

QFAB provides bioinformatics and biostatistics services for life science researchers to analyse and manage large-scale in-field, geonomics, proteomics and clinical datasets.

Located at the University of Queensland and engaged with medical and translational research institutes, QFAB supports the production of high quality bioinformatics and biostatistics outcomes which deliver those high impact publications and patents faster.

We will highlight recent case studies around data exploration, management and integration in a translational research and medicine context.

For more details, please contact Mathilde Desselle on:

Phone: 07 3346 2635

Email:  [email protected]

Workshop: Bioinformatics and Quantitative Bioscience get together in Hobart

If you are working in and around bioinformatics or other areas of quantitative bioscience and you are going to be in Hobart next Tuesday, please come along and meet folks like you at this seminar and discussion forum.

Who? When? Where? RSVP?

• Who? Speaker and forum facilitator: David Lovell
• When? 11am for an 11.10 start, Tuesday 29 October 2013
• Where? Auditorium of CSIRO’s Hobart Laboratories
• RSVP: Please drop us a line if you’re coming so we can have enough chocolate biscuits on hand!

What?

This get together has two main parts: one which is overtly scientific (on the analysis of relative abundance data), the other which is about building and strengthening communities of scientists and researchers.

Part 1: Have you got things in proportion? A practical strategy for exploring association in relative abundance data
Abstract: In molecular bioscience, measurements of relative abundance are, well… abundant. However, appreciation of the need to analyse and interpret these data differently to measurements of absolute abundance is scarce. I will show the problems that arise when relative abundance data is treated using standard analysis methods, especially correlation. I wall also describe a new way to handle observations that carry only relative information so that our conclusions are about the systems under study, not about artefacts of working with relative information.

Part 2: Bioinformatics in Hobart, Australia and beyond…
Abstract: This is a chance to find out about the Australian Bioinformatics Network, and to build and strengthen connections with regional, national and maybe even international bioinformatics communities. It’s also a chance to share and explore some of the issues and challenges we face in delivering even more benefit from bioinformatics, using a format similar to that used at AMATA recently.

Cytoscape workshop, melbourne

Cytoscape is an open source software platform for visualizing molecular interaction networks and biological pathways and
integrating these networks with annotations, gene expression
profiles and other state data.   Cytoscape is currently the primary package used throughout the world for visualizing and analyzing Biological networks of many types.  The Cytoscape consortium recently released the first major revision of Cytoscape in 10 years: Cytoscape 3.0 and the next release, Cytoscape 3.1 was just released in beta and promises several new, exciting features for integration and visualization of biological networks.

Places limited!

Click to read more…

HealthHack: A DataHack for Medical Research Problems

The organisers of HealthHack, a weekend datahack for medical research problems, are looking for medical research scientists to bring their existing data and/or IT problems to be part of the event.

Researchers would act as problem ‘custodians’ or ‘clients’, working with the team to shape solutions, or act as data mentors without necessarily having aims in mind. In the case of GovHack, a weekend datahack of government data, there were no specific problems to solve – the data was simply available, which resulted in some stunning visualisations.

The event is likely have 6-10 teams of IT specialists and novices working over a weekend to see what solutions they can come up with. (If you want to be one of those participants, please register!)
 
To get you thinking, the organisers have envisioned some example problems in the medical research domain:

• I use multiple online data sets to search for genetic and epigenetic variations of a certain type, but I don’t have a good way of knowing when I have looked at all the available information. I’d like an intuitive search panel that allows me to select exactly what I need, and report back all the relevant results
• I generate vast quantities of data; I would like a visualisation panel that lets me quickly and easily compare multiple data sets against each other
• I regularly search for information about disease occurrence; I’d like a tool that reports on aspects of previous research, e.g. statistical significance, number of patients, number of trials.

In another domain entirely, GovHack has given rise to

• Unlockd, a new platform for automatically loading and visualising government data normally hidden in PDFs and spreadsheets
• 3DZed, immersive 3D data visualisations
• Deathmatch, a game of risk analysis using ABS data of leading causes of death
• TransMap, showing where & how people in regional NSW travel

Here are links to all the winning entries for GovHack 2013.
 
Click here for more details…

Genomics Virtual Laboratory Workshop

The Genomics Virtual Laboratory (GVL) is a combination of scalable compute infrastructure, genomics analysis platforms, and support, available at multiple physical nodes around Australia. Research groups or institutes can deploy, manage, and tailor their own instance of the genomics analysis platform on national cloud infrastructure (the NeCTAR Research Cloud).

Mark Crowe of QFAB and Ron Horst of GVL will take attendees through the deployment, tailoring and use of the Galaxy and Cluster-on-the-cloud functionalities of a GVL instance on the Research Cloud in real time.

Click to read more…