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kerchner authored Jul 8, 2024
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---
site: sandpaper::sandpaper_site
base_url: gwu-libraries.github.io
---

Data Carpentry's aim is to teach researchers basic concepts, skills, and tools for working
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| Lesson | Overview |
| ----------------------------------------------------------------------------------------- | ------------------------------------------------------------------------------------------ |
| [Project organization and management](https://{{page.base_url}}/organization-genomics/) | Learn how to structure your metadata, organize and document your genomics data and bioinformatics workflow, and access data on the NCBI sequence read archive (SRA) database. |
| [Introduction to the command line](https://{{page.base_url}}/shell-genomics/) | Learn to navigate your file system, create, copy, move, and remove files and directories, and automate repetitive tasks using scripts and wildcards. |
| [Data wrangling and processing](https://{{page.base_url}}/wrangling-genomics/) | Use command-line tools to perform quality control, align reads to a reference genome, and identify and visualize between-sample variation. |
| [Introduction to cloud computing for genomics](https://{{page.base_url}}/cloud-genomics/) | Learn how to work with Amazon AWS cloud computing and how to transfer data between your local computer and cloud resources. |
| [Project organization and management](https://gwu-libraries.github.io/organization-genomics/) | Learn how to structure your metadata, organize and document your genomics data and bioinformatics workflow, and access data on the NCBI sequence read archive (SRA) database. |
| [Introduction to the command line](https://gwu-libraries.github.io/shell-genomics/) | Learn to navigate your file system, create, copy, move, and remove files and directories, and automate repetitive tasks using scripts and wildcards. |
| [Data wrangling and processing](https://gwu-libraries.github.io/wrangling-genomics/) | Use command-line tools to perform quality control, align reads to a reference genome, and identify and visualize between-sample variation. |
| [Introduction to cloud computing for genomics](https://gwu-libraries.github.io/cloud-genomics/) | Learn how to work with Amazon AWS cloud computing and how to transfer data between your local computer and cloud resources. |

# Optional Additional Lessons

| Lesson | Overview |
| ----------------------------------------------------------------------------------------- | ------------------------------------------------------------------------------------------ |
| [Intro to R and RStudio for Genomics](https://{{page.base_url}}/genomics-r-intro/) | Use R to analyze and visualize between-sample variation. |
| [Intro to R and RStudio for Genomics](https://gwu-libraries.github.io/genomics-r-intro/) | Use R to analyze and visualize between-sample variation. |

# Teaching Platform

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### Schedule A (2 days OR 4 half days)

- Half-day 1: [Project organization and management](https://datacarpentry.github.io/organization-genomics/) \& [Introduction to the command line](https://datacarpentry.github.io/shell-genomics/)
- Half-day 2: [Introduction to the command line](https://datacarpentry.github.io/shell-genomics/) (continued).
- Half-day 3 \& 4 : [Data wrangling and processing](https://datacarpentry.github.io/wrangling-genomics/)
- Half-day 1: [Project organization and management](https://gwu-libraries.github.io/organization-genomics/) \& [Introduction to the command line](https://gwu-libraries.github.io/shell-genomics/)
- Half-day 2: [Introduction to the command line](https://gwu-libraries.github.io/shell-genomics/) (continued).
- Half-day 3 \& 4 : [Data wrangling and processing](https://gwu-libraries.github.io/wrangling-genomics/)

### Schedule B (2 days OR 4 half days)

- Half-day 1: [Project organization and management](https://datacarpentry.github.io/organization-genomics/) \& [Introduction to the command line](https://datacarpentry.github.io/shell-genomics/)
- Half-day 2: [Introduction to the command line](https://datacarpentry.github.io/shell-genomics/) (continued)
- Half-day 3 \& 4: [Intro to R and RStudio for Genomics](https://datacarpentry.org/genomics-r-intro/)
- Half-day 1: [Project organization and management](https://gwu-libraries.github.io/organization-genomics/) \& [Introduction to the command line](https://gwu-libraries.github.io/shell-genomics/)
- Half-day 2: [Introduction to the command line](https://gwu-libraries.github.io/shell-genomics/) (continued)
- Half-day 3 \& 4: [Intro to R and RStudio for Genomics](https://gwu-libraries.github.io/genomics-r-intro/)

### Schedule C (3 days OR 6 half days)

- Half-day 1: [Project organization and management](https://datacarpentry.github.io/organization-genomics/) \& [Introduction to the command line](https://datacarpentry.github.io/shell-genomics/)
- Half-day 2: [Introduction to the command line](https://datacarpentry.github.io/shell-genomics/) (continued)
- Half-day 3 \& 4 : [Data wrangling and processing](https://datacarpentry.github.io/wrangling-genomics/)
- Half-day 5 \& 6: [Intro to R and RStudio for Genomics](https://datacarpentry.org/genomics-r-intro/)
- Half-day 1: [Project organization and management](https://gwu-libraries.github.io/organization-genomics/) \& [Introduction to the command line](https://gwu-libraries.github.io/shell-genomics/)
- Half-day 2: [Introduction to the command line](https://gwu-libraries.github.io/shell-genomics/) (continued)
- Half-day 3 \& 4 : [Data wrangling and processing](https://gwu-libraries.github.io/wrangling-genomics/)
- Half-day 5 \& 6: [Intro to R and RStudio for Genomics](https://gwu-libraries.github.io/genomics-r-intro/)


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