
This record includes training materials associated with the Australian BioCommons webinar ‘What exactly is bioinformatics?' This webinar took place on 7 August 2024. Event description ‘Doing’ bioinformatics to extract, process, analyse, and interpret experimental results is something that all life scientists do as part of their research. But what exactly is bioinformatics? And is there a right (or a wrong) way to do it? In this webinar, Dr Georgie Samaha welcomes you to the vast world of bioinformatics. Georgie will illuminate key concepts including: What does a typical experiment look like? What kind of data will I work with? What is involved in data-preprocessing? What’s involved in data analysis? Where can I do bioinformatics? We explore common experimental use cases and share essential - but easy to overlook - practical tips for accessing data, software, and computing resources you need to get your research done. Materials are shared under a Creative Commons Attribution 4.0 International agreement unless otherwise specified and were current at the time of the event. Speaker: Dr Georgie Samaha - Product Owner of the Australian BioCommons BioCLI Project and Bioinformatics Group Lead at the Sydney Informatics Hub, The University of Sydney. Host: Dr Patrick Capon, Australian BioCommons Training materials Files and materials included in this record: Event metadata (PDF): Information about the event including, description, event URL, learning objectives, prerequisites, technical requirements etc. Index of training materials (PDF): List and description of all materials associated with this event including the name, format, location and a brief description of each file. Samaha_2024_what_is_bioinformatics_webinar: A PDF copy of the slides presented during the webinar. Materials shared elsewhere: A recording of this webinar is available on the Australian BioCommons YouTube Channel: https://youtu.be/wmy2C-S-rMU
FOS: Computer and information sciences, Bioinformatics
FOS: Computer and information sciences, Bioinformatics
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
