Major

Bioinformatics

Anticipated Graduation Year

2023

Access Type

Open Access

Abstract

Modern computers increase our ability to make data clear and reproducible. By changing parts of our workflow, we can create a self-contained project that anyone can access and understand. To achieve this, we should follow three guidelines for every project. 1: Create a clear, self-contained directory to house our scripts and data. 2: Create an explicit outline that follows the planned outline for the manuscript. 3: Thoroughly comment each chunk of code. By keeping the project simple yet thorough, we ensure that it is easy to see where our data comes from and the process of generating it.

Faculty Mentors & Instructors

Yoel E. Stuart, Professor, Biology

Creative Commons License

Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 License.

Share

COinS
 

Approaching Clarity and Reproducibility in Coding and Data Sharing

Modern computers increase our ability to make data clear and reproducible. By changing parts of our workflow, we can create a self-contained project that anyone can access and understand. To achieve this, we should follow three guidelines for every project. 1: Create a clear, self-contained directory to house our scripts and data. 2: Create an explicit outline that follows the planned outline for the manuscript. 3: Thoroughly comment each chunk of code. By keeping the project simple yet thorough, we ensure that it is easy to see where our data comes from and the process of generating it.