Using a computational molecular evolution and phylogeny to study pathogenic proteins

Background: Studying bacterial physiology, adaptation, and pathogenicity through the lens of evolution requires delineating the phylogenetic history of bacterial proteins and genomes. Moreover, delineating this history of proteins is best done at all …

Making cool publication quality tables w/ R

RLadies+ featuring useR! meetup

This year useR! (https://user2021.r-project.org/) will be a global and entirely remote conference. One of the main goals is to encourage the participation of diverse people (considering diversity in all its forms and all its intersectionalities). The …

Using Tidyverse for Genomics

This workshop will present how to analyze & visualize processed genomics data. This workshop will be divided in 5 parts: Part 1: Getting started w/ readr Part 2: Reshaping data w/ tidyr Part 3: Data wrangling w/ dplyr Part 4: Visualizing tidy data …

MolEvolvR: a web-app for molecular evolution and phylogeny

We will discuss the alpha version of their new easy-to-use interactive webapp: MolEvolvR, for characterizing proteins using molecular evolution and phylogeny. We will begin by demonstrating the power of MolEvolvR using the panbacterial stress response system, PSP (phage shock protein), as an example. Then, we will anyone can use this app to study their protein(s) of interest. PSP app: jravilab.shinyapps.io/psp-evolution (bioRxiv 2020) MolEvolvR app: jravilab.org/molevolvr (currently, alpha-version)

RLEL Workshop on RMarkdown & Reproducible Research

RLEL Workshop on DataViz 2.0

Tidyverse for Genomics

Using Tidyverse for Genomics workshop

Tidyverse workshop