Name: RLadies October Meetup - "R-omics": Using R for bioinformatics
Start: 2023-10-30T18:00:00-04:00
End: 2023-10-30T20:00:00-04:00
Location: 1275 Av. des Canadiens-de-Montréal

Join us on October 30th for our second meetup of the 2023-24 season!

**Agenda:**

* Settling in and and request for talks
* Speaker
* Networking / practical coding time

**Topic:**
This month we'll be discussing how to use R for bioinformatics. Bioinformatics is a rapidly evolving field that combines aspects of data science, biostatistics, and natural sciences in order to analyze biological datasets. Many research areas can fall under the umbrella of bioinformatics, from modelling the 3D structure of proteins to identifying gene mutations associated with disease.

This session, we will work through exercises related to:

* essential resources for working with genomic data, like Bioconductor packages
* visualizing high-dimensional data such as spatial transcriptomics
* calling command-line tools from R

While some biology background will be helpful for this session, everyone is welcome.

**What to bring:**
Bring your laptop if you'd like to follow along with the examples. We recommend installing the latest version of [R](https://www.r-project.org/) and [RStudio](https://posit.co/products/open-source/rstudio/) before you arrive.

**Other:**
R-Ladies events always have been and will always be free to attend! RSVPs are not required, but do help us plan space requirements.

**Questions?**
Please comment or message the organizers with any questions.

Rhiannon

Monica Cella

Kathryn Morrison

R-Ladies Montreal

R-Ladies

Technology

Statistical Computing

Data Analytics

Programming in R

R Project for Statistical Computing

Data Science

Women Programmers

Data Science using R

Alex Bambata

Milica Miocevic

Sophie S.

Za K

Corinne Riddell

Jennifer

Vicki Tran

Rhiannon Kamstra is a Monteal-based data scientist who has worked as a consultant in the pharmaceutical industry for the past 8 years. Rhiannon uses her training in epidemiology and computational chemistry to address her clients' research needs across the product life-cycle, from early-stage drug development to real-world evidence. She has been using R since 2015 and also works with other tools like SAS and Python.

Rhiannon Kamstra

RLadies October Meetup - "R-omics": Using R for bioinformatics

1275 Av. des Canadiens-de-Montréal

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R-Ladies Montreal

RLadies October Meetup - "R-omics": Using R for bioinformatics

R-Ladies Montreal

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