2021_BRE

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Repository for Coriell Institute's 2021 Bioinformatics Research Experience

View the Project on GitHub Coriell-BRE/2021_BRE

Coriell Bioinformatics Research Experience 2021

The Bioinformatics Research Experience is a four-week research training program for undergraduate students interested in learning scientific biological data analysis. The previous year’s material can be seen here: 2020


Schedule

calendar

Talks and Lecture Topics


Getting Started

Programs to Install

  1. Zoom https://zoom.us/download
  2. Slack https://slack.com/. If you’re familiar with Slack, our slack name is coriellbioinf-se37156. Otherwise you can follow the attached directions in slack_intructions.pdf.
  3. Download and install TeamViewer https://www.teamviewer.com/en-us/. This will allow the research experience team to screen share with your computer to assist with technical problems.
  4. R. If you don’t already have it installed, go to R Cloud https://cloud.r-project.org/ to download and install R.
  5. RStudio. Go to RStudio’s website https://rstudio.com/products/rstudio/download/ and download the FREE version.

BRE Material

Journal Club

During the Bioinformatics Research Experience you will give two Journal Clubs, one on one of the papers listed below and the other on a paper of your choosing. Your choice of second paper is due by Friday, 7/16.


Daily Lecture Material

July 06: Welcome and Introduction to Rmarkdown and RStudio


Today’s Assignment: Rmarkdown Practice Rmarkdown and the ANSWER KEY in Rmarkdown and html


July 07: Introduction to Data Wrangling with dplyr


Today’s Assignment: Data Wrangling Rmarkdown, ANSWER KEY in Rmarkdown


July 08: Introduction to Data Visualization with ggplot2


Today’s Assignment: Data Visualization Rmarkdown, ANSWER KEY in Rmarkdown


July 09: Reading Data with readr and Tidying Data with tidyr


Today’s Assignment: Reading in and Tidying Data Rmarkdown and the data, ANSWER KEY in Rmarkdown


July 13: Statistics Review and Tidying R Statistical Tests with broom


Today’s Assignment: Statistics and broom Rmarkdown and the data, ANSWER KEY in Rmarkdown


July 14: Clustering Data


Today’s Assignment: Clustering Rmarkdown and the data, ANSWER KEY in Rmarkdown


July 15: Statistics 2: Linear Models


Today’s Assignment: Linear Models Rmarkdown and the data, ANSWER KEY in Rmarkdown


July 16: Exploratory Data Analysis


Today’s Assignment: Exploratory Data Analysis assignment and the template


July 20: Introduction to RNA-seq


Today’s Assignment: Read in RNA-seq Data Rmd and the data, , ANSWER KEY in Rmarkdown


July 21: Clustering RNA-seq and Differential Expression Testing


Today’s Assignment: Read in RNA-seq Data Rmd and the same data and the ANSWER KEY in Rmarkdown


July 22: Wrangling and Visualizing RNA-seq Results


Today’s Assignment: Read in RNA-seq Data Rmd and you’ll use for data the differential expression table you created with yesterday’s assignment and here’s the ANSWER KEY in Rmarkdown


July 23: Review Day


July 27: Gene Set Enrichment Analysis


Differential Expression Assignment


July 28 Regular Expressions (RegEx)


July 29 Example RNA-seq Results Presentation