Biology & Life Sciences Basics
Fundamental principles and concepts
UCSanDiegoX: Analyze Your Genome!
Learn how to use existing tools and pipelines to analyze next generation sequencing (NGS) data.
₹4067
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Course Insight
Suitable for beginner learners. This course serves as an entry point into Biology & Life Sciences, building foundational knowledge before moving on to advanced frameworks or specialized paths.
Beginner FriendlyCertification IncludedSelf-Paced Learning
SKILLS TO
MASTER
Practical ApplicationTrending
Real-world project implementationBest Practices
Industry standard workflows and guidelinesCareers:Relevant for professionals pursuing roles within Biology & Life Sciences.
Quick Facts
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What You’ll Learn
Are you interested in analyzing biological datasets but don’t have a strong computational background? Do you want to focus on the biology and learn how to use modern best-practice pipelines that use existing tools? This Beginner course, geared towards non-computational biologists, will introduce a specific biological problem each week centered around next generation sequencing and teach you how to use Illumina’s BaseSpace platform to run workflows conveniently and in a user-friendly manner.You will learn current best-practice workflows for Genome Assembly, Variant Calling, Trio Analysis, and Differential Expression Analysis as well as the types of biological problems that motivate them.
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Outcomes
- How to reconstruct a genome by stringing together its tiny fragments using popular genome assembly tools to sequence a pathogen.
- How to find mutations in your genome and how to test whether they are linked to genetic diseases..
- Investigate the genetic makeup of a "trio" (mother, father, and child) to figure out whether the child inherited the disease from the parents or unluckily developed the genetic disease through de novo mutations.
- How to analyze gene expressions.
- How to investigate what genes are turned on or off in various tissues in order to figure out which genes are important for each cell type and which genes are over-expressed in cancer and other diseases..
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