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A brief analysis of different Covid variants for the top 20 countries with the most COVID-19 cases according to the John Hopkins Coronavirus Resource Center.

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COVID-19 Variants Analysis

This is a two-part project for analyzing genetic variations in SARS-CoV-2, a virus responsible for COVID-19/Coronavirus. The project was done with R, and it focuses on sequences across samples from different countries.

Target

  1. Analyze and compare gene sequence from differente SARS-CoV-2 samples.
  2. Identify mutations across individual and country-level samples.
  3. Visualize the similarities and differences using R tools.

Project Structure

  • Evidencia1: This contains the individual sequence analysis.
  • Evidencia2: This contains the comparations of the sequence analysis between countries.

Tools & Packages

This project was developed using R and requires the following packages:

  • Biostrings
  • tidyverse
  • ggplot2
  • msa
  • ape
  • ggtree

How to Run Evidencia1

Prerequisites

Make sure you have R and RStudio installed. Then install the required packages (if not already installed):


install.packages("tidyverse")
install.packages("ggplot2")
if (!requireNamespace("BiocManager", quietly = TRUE))
    install.packages("BiocManager")
BiocManager::install(c("Biostrings", "msa", "ggtree", "ape"))

  1. Open ev01.Rmd in RStudio.
  2. Click "Knit" to generate the HTML report.
  3. Alternatively, run Evidencia1_codigo.R line by line to step through the analysis.

How to Run Evidencia2

  1. Open ev02.Rmd in RStudio.
  2. Click "Knit" to generate the HTML report.

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A brief analysis of different Covid variants for the top 20 countries with the most COVID-19 cases according to the John Hopkins Coronavirus Resource Center.

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