README.Rmd

---
output: github_document
---

```{r, echo = FALSE}
knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  fig.path = "README-"
)
```

# Practical Biological Data Analysis with R/RStudio

[![Build Status](https://travis-ci.org/IDPT7810/practical-data-analysis.svg?branch=master)](https://travis-ci.org/IDPT7810/practical-data-analysis) [![Build status](https://ci.appveyor.com/api/projects/status/nmsmgqp6nr1898wq?svg=true)](https://ci.appveyor.com/project/kriemo/practical-data-analysis)

## Syllabus

This short course teaches you to analyze and visualize large, complex biological data sets use the R statistical programming language, RStudio, and new tools available in the "tidyverse". We use common biological experiments to illustrate analysis strategies including studies of mRNA expression, histone post-translational modification in the context of chromatin, and cell-type characterization using single cell approaches.

### Course number

IDPT 7810 006

### Dates and Times

The course (2 credit hours) consists of 13 2 hour classes held Mon through Fri from Nov 28 through Dec 14 in P28-1202 (P28-2301 on Dec 6, 7, and 12) from 1:00-3:00 pm. Building P28 is Education 2 North.

We have dedicated office hours on Thurs from 2:30-4pm in RC1 South 9th floor in the main office (behind the glass walls). Come with questions, problems, etc. Please send an email to `rbi.fellows@ucdenver.edu` to let us know you're coming.

### Instructor

Jay Hesselberth (jay.hesselberth@gmail.com)

### Co-instructors

Austin Gillen (austin.gillen@ucdenver.edu)

Kent Riemondy (kent.riemondy@ucdenver.edu) 

Rui Fu (rui.fu@ucdenver.edu)

## Course marks

See [Grading and Assignments](https://idpt7810.github.io/practical-data-analysis/articles/assignments.html).

## Installation

You can install the course package from github with:

```{r gh-installation, eval = FALSE}
# install.packages("devtools")
devtools::install_github("idpt7810/practical-data-analysis")
```