The following Rmd files shows a quick pipeline into cleaning up raw txt files to be more readable. The txt file is read in and undergoes transformation so the exported dataframe is more legible.

This tutorial is a small peak into variable types. It goes through some basic functions of converting variable types, such as characters and integers, and converting them to factors for the purpose of data visualization.

Using a dataset from Kaggle that combines RNA expression datasets from yeast undergoing different conditions was used to show practice in transforming and filtering datasets. A specific treatment groups was picked from the large dataset to be filtered out and transformed and the product was then used to visualize expression data.

A markdown file that shows RNA expression data of a 90-year-old Alzheimer's patient. The practice was to look at significance in expression data as well as using different visualization techniques using R

Basic functions of reading FASTA and FASTQ files into R and taking a text VCF file and transforming it into a dataframe for R manipulation