Microbiome and Bioinformatics
What you'll learn
- Understand importance of the microbiome
- Learn basic concepts in microbiome and bioinformatics
- Analyze microbiome sequencing data
- Use free, online, no-coding bioinformatics software
Requirements
- High school level knowledge of biology and ability to use web browser.
- No programming experience required.
Description
This course aims to build a foundation for understanding the background and methods involved in microbiome analysis projects.
The course kicks off with an introductory practice test intended to gauge the student's background knowledge and set a baseline to estimate progress following course completion. It proceeds to introduce students to the value and relevance of this field of research. It will acquaint students with the basic underlying concepts of related disciplines such as molecular biology and sequencing.
Students will also be introduced to the theory of sequencing techniques such as barcoding, multiplexing and demultiplexing. Various analyses methods and metrics commonly encountered in microbiome analysis will be discussed, such as taxonomic abundance and assignment, and diversity analysis. The theory segment wraps up with some helpful tips and suggestions on designing one’s own microbiome experiment.
After reviewing the theory, students will then have the opportunity to use a free online tool, EasyMap, to conduct their own microbiome analysis using demo data. The hands-on segment aims to solidify the concepts learnt over the theory lectures and also point students to an easy to use online resource to experiment and learn with.
Finally, the course concludes with a comprehensive test that will evaluate the knowledge acquired by the students over the course.
Any opinions expressed are solely our own and do not express the views or opinions of our employers.
Who this course is for:
- People interested to learn about microbiome and/or interested to analyze microbiome sequencing data using free online software without using any programming.
- Beginners looking for a short course that will provide the necessary theory and hands-on tutorial.
Instructors
- 4.0 Instructor Rating
- 45 Reviews
- 153 Students
- 1 Course
I am a skilled data scientist with interdisciplinary research experience and a proven publication record. I am proficient in multiple programming languages (R, python, perl, and Java) with over 10 years of experience in biological data analyses.
Studied host-microbial ecology in:
- Medicine: gut of humans and mice in diabetes and cancer
- Agriculture: nodules of soybean, rhizosphere of switchgrass and invasive plants
- Environment: gut of honey bees and soils of different ages (chronosequences)
- 4.0 Instructor Rating
- 45 Reviews
- 153 Students
- 1 Course
I'm a Bioinformatics professional with 15+ years of experience on a vast variety of projects, including extensive work with 16S microbiome, metagenome and related analyses.
My experience spanned tracking and managing projects through their respective life-cycles, such as:
• Microbiome analysis using 16S sequencing on the Illumina MiSeq platform
• Metagenomic analysis on the Illumina Nextgen and NovaSeq platform
I also enjoyed the dissemination of information and education of collaborators regarding techniques and protocols, as well as assisting them with writing manuscripts and publishing data