Data visualization lessons from Hackseq

We are sharing what was accomplished during Hackseq19. During that hackathon we worked on a project on visualizing bioinformatic trends (https://github.com/hackseq/hs19-trends) using maps, racing bar graphs and bigrams. No previous bioinformatics knowledge necessary!

A little bit about our speakers:

Diana Lin:
I’m a first-year graduate student at the University of British Columbia (UBC) in Vancouver, BC. In July 2019, I started my Master of Science in Bioinformatics. In 2018, I finished my Bachelor of Science in Physiology at McGill University. Following my graduation, I completed an 8-month internship at the Bioinformatics Technology Lab. My work is currently on assembling and annotating various transcriptomes and datamining these transcriptomes for antimicrobial peptides sequences.

Emma Garlock:
I am a first year Masters Student in Dr. Fiona Brinkman’s lab at Simon Fraser University in the MBB department. I am part of the SFU/UBC joint bioinformatics program. I am originally from Halifax, and completed my BSc. Honours Biochemistry at Mount Allison University in May 2019. While on the east coast my research focused on using SNPs to identify potential virulence factors in lobster pathogens. My current research focuses on identifying correlations between early life exposures and dysbioisis of the gut microbiome.

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About the workshop & instructions:

-Please expect a hands-on session in a friendly and laid-back atmosphere where we all encouraged to learn together.

• All levels are welcome, but be prepared that we created this with beginners in mind. You should be familiar with R and RStudio.

• Install R: https://mirror.its.sfu.ca/mirror/CRAN/

• Install RStudio (choose the Desktop version): https://www.rstudio.com/products/rstudio/download/#download

• Pack your laptop, drink and a snack

Thank you to Dialpad for hosting us.

IMPORTANT**

1. Get a ticket via eventbrite to guarantee a spot. Feel free to RSVP here, but we use eventbrite for spot bookings. Get your ticket here: https://www.eventbrite.com/e/data-visualizations-tickets-79923215489

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2. Bring your LAPTOP

3. If this is your first R-Ladies event, please take a moment to review our R-Ladies Global code of conduct: https://github.com/rladies/starter-kit/wiki/Code-of-Conduct

4. Who is this allowed to attend the workshop?
   Everyone is welcome to join us at our events and to be a part of our mission to empower gender minorities with the skills and knowledge to code in one of the top programming language in data science, which is R.

To fulfill this mission we do ask participants to respect a focus on the encouragement and support for women and non-binary people during our events.

See you there!

Anna, Raissa, Lucia, Jasmine, & Lisa