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Contributors: Unsworth, Kathryn (type: Ed...  or Hogg, Carolyn (type: Superv...  or Christine Hallinan 


WEBINAR: Getting started with command line bioinformatics

This record includes training materials associated with the Australian BioCommons webinar ‘Getting started with command line bioinformatics’. This webinar took place on 22 June 2021. 

Bioinformatics skills are in demand like never before and biologists are stepping up to the challenge of...

Keywords: Bioinformatics, Command line, Workflows, Bash, Computational biology

WEBINAR: Getting started with command line bioinformatics https://dresa.org.au/materials/webinar-getting-started-with-command-line-bioinformatics-248027d1-0773-485a-b511-831e2fd4cc64 This record includes training materials associated with the Australian BioCommons webinar ‘Getting started with command line bioinformatics’. This webinar took place on 22 June 2021.  Bioinformatics skills are in demand like never before and biologists are stepping up to the challenge of learning to analyse large and ever growing datasets. Learning how to use the command line can open up many options for data analysis but getting started can be a little daunting for those without a background in computer science. Parice Brandies and Carolyn Hogg have recently put together ten simple rules for getting started with command-line bioinformatics to help biologists begin their computational journeys. In this webinar Parice walks you through their hints and tips for getting started with the command line. She covers topics like learning tech speak, evaluating your data and workflows, assessing computational requirements, computing options, the basics of software installation, curating and testing scripts, a bit of bash and keeping good records. The webinar will be followed by a short Q&A session. The slides were created by Parice Brandies and are based on the publication ‘Ten simple rules for getting started with command-line bioinformatics’ (https://doi.org/10.1371/journal.pcbi.1008645). The slides are shared under a Creative Commons Attribution 4.0 International unless otherwise specified and were current at the time of the webinar. 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. Getting started with command line bioinformatics - slides (PDF): Slides presented during the webinar Materials shared elsewhere: A recording of the webinar is available on the Australian BioCommons YouTube Channel https://youtu.be/p7pA4OLB2X4 Melissa Burke (melissa@biocommons.org.au) Hogg, Carolyn (type: Supervisor) Bioinformatics, Command line, Workflows, Bash, Computational biology
ARDC digital research capabilities and skills framework

This informational flyer outlines the value of skills frameworks and describes at a high level the various elements of the ARDC's Capabilities and Skills Framework.

Capabilities and Skills Landscape
Glossary - Framework terminology
Data and Digital Research roles
Skills/Role...

Keywords: training material, skills framework, ARDC skills framework, ARDC capabilities framework, national skills framework

ARDC digital research capabilities and skills framework https://dresa.org.au/materials/ardc-digital-research-capabilities-and-skills-framework-3b376311-87dd-470f-bb8d-e99459434c97 This informational flyer outlines the value of skills frameworks and describes at a high level the various elements of the ARDC's Capabilities and Skills Framework. Capabilities and Skills Landscape Glossary - Framework terminology Data and Digital Research roles Skills/Role profiles Learning paths Skills/Data roles matrix contact@ardc.edu.au Savill, Jo (type: Editor) Duncan, Ian (type: Editor) Unsworth, Kathryn (type: Editor) Murphy, Paul (type: Editor) training material, skills framework, ARDC skills framework, ARDC capabilities framework, national skills framework
Fluoroquinolone antibiotics and Aortic Aneurysm or Dissection 

The main objective of this project was to provide education on the use of data translated to the OMOP common data model. We aimed to showcase how the Atlas interface tool could be used to generate evidence for a highly relevant and significant research question. The clinical question that was...

Keywords: OMOP, Aortic Aneurysm, Fluoroquinolone antibiotics

Fluoroquinolone antibiotics and Aortic Aneurysm or Dissection  https://dresa.org.au/materials/fluoroquinolone-antibiotics-and-aortic-aneurysm-or-dissection The main objective of this project was to provide education on the use of data translated to the OMOP common data model. We aimed to showcase how the Atlas interface tool could be used to generate evidence for a highly relevant and significant research question. The clinical question that was used to demonstrate the process revolved around investigating the potential association between the use of fluoroquinolones to treat urinary tract infection and the risk of experiencing aortic aneurysm and dissection within 30 days, 3 months, or 12 months of treatment initiation compared to other commonly used antibiotics. The workshop aimed to describe how data are translated to the OMOP CDM, how cohorts can be derived in these data, how to execute a robust analysis, and lastly, how to interpret the results of the study. Specifically, we described the process of translating Australian medicines dispensing data to the OMOP CDM, including the translation of the Australia Pharmaceutical Benefits Schedule data to the international RxNorm standard vocabulary. The outcome of the project is an on-line training resource that highlights the process of study execution from start to finish. This training package will serve as an exemplar for researchers in Australia to unlock the value of their data that has been translated into the OMOP CDM. The audience for this project was database programmers, researchers, and decision-makers, and all those interested in using data to inform healthcare. Roger Ward, Nicole Pratt Christine Hallinan OMOP, Aortic Aneurysm, Fluoroquinolone antibiotics
ARDC digital research capabilities and skills framework

This informational flyer outlines the value of skills frameworks and describes at a high level the various elements of the ARDC's Capabilities and Skills Framework.

Capabilities and Skills Landscape
Glossary - Framework terminology
Data and Digital Research roles
Skills/Role...

Keywords: training material, skills framework, ARDC skills framework, ARDC capabilities framework, national skills framework

ARDC digital research capabilities and skills framework https://dresa.org.au/materials/ardc-digital-research-capabilities-and-skills-framework-e0acf524-0666-466c-ac93-f13c133b03cf This informational flyer outlines the value of skills frameworks and describes at a high level the various elements of the ARDC's Capabilities and Skills Framework. Capabilities and Skills Landscape Glossary - Framework terminology Data and Digital Research roles Skills/Role profiles Learning paths Skills/Data roles matrix contact@ardc.edu.au Savill, Jo (type: Editor) Duncan, Ian (type: Editor) Unsworth, Kathryn (type: Editor) Murphy, Paul (type: Editor) training material, skills framework, ARDC skills framework, ARDC capabilities framework, national skills framework
ARDC digital research capabilities and skills framework

This informational flyer outlines the value of skills frameworks and describes at a high level the various elements of the ARDC's Capabilities and Skills Framework.

Capabilities and Skills Landscape
Glossary - Framework terminology
Data and Digital Research roles
Skills/Role...

Keywords: training material, skills framework, ARDC skills framework, ARDC capabilities framework, national skills framework

ARDC digital research capabilities and skills framework https://dresa.org.au/materials/ardc-digital-research-capabilities-and-skills-framework This informational flyer outlines the value of skills frameworks and describes at a high level the various elements of the ARDC's Capabilities and Skills Framework. Capabilities and Skills Landscape Glossary - Framework terminology Data and Digital Research roles Skills/Role profiles Learning paths Skills/Data roles matrix Kathryn Unsworth (kathryn.unsworth@ardc.edu.au) Savill, Jo (type: Editor) Duncan, Ian (type: Editor) Unsworth, Kathryn (type: Editor) Murphy, Paul (type: Editor) training material, skills framework, ARDC skills framework, ARDC capabilities framework, national skills framework
WEBINAR: Getting started with command line bioinformatics

This record includes training materials associated with the Australian BioCommons webinar ‘Getting started with command line bioinformatics’. This webinar took place on 22 June 2021. 

Bioinformatics skills are in demand like never before and biologists are stepping up to the challenge of...

Keywords: Bioinformatics, Command line, Workflows, Bash, Computational biology

WEBINAR: Getting started with command line bioinformatics https://dresa.org.au/materials/webinar-getting-started-with-command-line-bioinformatics-a1426275-7f44-457e-94a3-298d9121fb20 This record includes training materials associated with the Australian BioCommons webinar ‘Getting started with command line bioinformatics’. This webinar took place on 22 June 2021.  Bioinformatics skills are in demand like never before and biologists are stepping up to the challenge of learning to analyse large and ever growing datasets. Learning how to use the command line can open up many options for data analysis but getting started can be a little daunting for those without a background in computer science. Parice Brandies and Carolyn Hogg have recently put together ten simple rules for getting started with command-line bioinformatics to help biologists begin their computational journeys. In this webinar Parice walks you through their hints and tips for getting started with the command line. She covers topics like learning tech speak, evaluating your data and workflows, assessing computational requirements, computing options, the basics of software installation, curating and testing scripts, a bit of bash and keeping good records. The webinar will be followed by a short Q&A session. The slides were created by Parice Brandies and are based on the publication ‘Ten simple rules for getting started with command-line bioinformatics’ (https://doi.org/10.1371/journal.pcbi.1008645). The slides are shared under a Creative Commons Attribution 4.0 International unless otherwise specified and were current at the time of the webinar. **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. - Getting started with command line bioinformatics - slides (PDF): Slides presented during the webinar **Materials shared elsewhere:** A recording of the webinar is available on the Australian BioCommons YouTube Channel https://youtu.be/p7pA4OLB2X4 Melissa Burke (melissa@biocommons.org.au) Hogg, Carolyn (type: Supervisor) Bioinformatics, Command line, Workflows, Bash, Computational biology