This lesson is being piloted (Beta version)
If you teach this lesson, please tell the authors and provide feedback by opening an issue in the source repository

Project Organization and Management for Metagenomics

Good data organization is the foundation of any research project. It not only sets you up well for an analysis, but it also makes it easier to come back to the project later and share with collaborators, including your most important collaborator - future you.

Organizing a project that includes sequencing involves many components. There’s the experimental setup and conditions metadata, measurements of experimental parameters, sequencing preparation and sample information, the sequences themselves and the files and workflow of any bioinformatics analysis. So much of the information of a sequencing project is digital, and we need to keep track of our digital records in the same way we have a lab notebook and sample freezer. In this lesson, we’ll go through the project organization and documentation that will make an efficient bioinformatics workflow possible. Not only will this make you a more effective bioinformatics researcher, it also prepares your data and project for publication, as grant agencies and publishers increasingly require this information.

In this lesson, we’ll be using data from a study of experimental evolution using data from Cuatro Ciénegas Basin. In this study there are several types of files:

Throughout the analysis, we’ll also generate files from the steps in the bioinformatics pipeline and documentation on the tools and parameters that we used.

In this lesson you will learn:

Getting Started

This lesson assumes no prior experience with the tools covered in the workshop. However, learners are expected to have familiarity with some biological concepts, such as that each living organism has a genome, and what can be obtained from DNA sequencing. Participants should bring their laptops and plan to participate actively.

This lesson is part of a workshop that uses data hosted on an Amazon Machine Instance (AMI). Workshop participants will be given information on how to log-in to the AMI during the workshop. Learners using these materials for self-directed study will need to set up their own AMI. Information on setting up an AMI and accessing the required data is provided on the Metagenomics Workshop Setup page.

For Instructors

If you are teaching this lesson in a workshop, please see the Instructor notes.

This is the first lesson of the Metagenomics Workshop comprised of four lessons in total.

Lesson Reference

This page and the three episodes in this lesson are adapted from the lesson Project Organization and Management for Genomics.

Schedule

Setup Download files required for the lesson
00:00 1. Data Tidiness What metadata should I collect?
How should I structure my sequencing data and metadata?
00:15 2. Planning for NGS Projects How do I plan and organize a genome sequencing project?
What information does a sequencing facility need?
What are the guidelines for data storage?
00:35 3. Examining Data on the NCBI SRA Database How do I access public sequencing data?
00:55 Finish

The actual schedule may vary slightly depending on the topics and exercises chosen by the instructor.