Online Training Resources

Online training resources in times of COVID-19

To help our students and post doctoral fellows we have put together a list of online resources available at the moment

Internal Resources

Online Image Analysis: (Karin Aumayr)

·     General information – VBC Corona Blog

Computational Biology Trainings by András Aszódi (VBCF)

Courses are available on computing skills (https://training.vbcf.ac.at/training/compskills.php), biostatistics / data analysis (https://training.vbcf.ac.at/training/datasci.php)  and reporting skills (https://training.vbcf.ac.at/training/report.php). Please visit https://training.vbcf.ac.at/training/schedule.php for the current schedule and registration, or https://training.vbcf.ac.at/training/ for a general overview.

Some selected external resources

Making Scientific Figures with Illustrator & Blender

https://www.youtube.com/watch?v=3IuoK07YDds

Nature Courses Onlines

https://masterclasses.nature.com/online-course-on-peer-review/16507836

PhD Collection - https://www.nature.com/collections/dhbegcaieb/

Mental Health Collection - https://www.nature.com/collections/gnlwffjgtr

Mentoring and Mentees - https://www.nature.com/collections/lhgrjpzydm

Scientific Data tips - https://www.nature.com/collections/bjacdafieh/

Educational and entertaining Biology talks online

https://www.ibiology.org/

Well-being in times of COVID-19 (from Desiree Dickerson)

  • Click here for general useful resources
  • A cheat sheet for PI's on how to check in with their lab group / staff / students - LinkedIn article here
  • 'Seven tips to manage your mental health and well-being during the COVID-19 outbreak.' Desiree’s latest piece in Nature

An interesting article about science at home: https://www.nature.com/articles/d41586-020-00935-3?WT.ec_id=NATURE-20200416&utm_source=nature_etoc&utm_medium=email&utm_campaign=20200416&sap-outbound-id=CEA03C0C70B5C7801991081E11D0EC16048BE90A

Selected online coding resources:

www.keepsciencegoing.org, resource collection and new tutorials specifically targeted to molecular biologists with little or no computational experience and focused on molecular data analysis (e.g. RNA-seq processing and analysis, Hi-C visualization, genomics portals, etc.). It also contains a list of interesting webinars and links to online conferences.

https://www.datacamp.com - Learn R, Python & Data Science Online

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