What experience level is required for UCSanDiegoX: Graph Algorithms in Genome Sequencing?

This course is aimed at the Intermediate level. Having some basic understanding of the topic will help you get the most out of the curriculum.

How long does it take to complete UCSanDiegoX: Graph Algorithms in Genome Sequencing?

The total duration of the course is approximately 3 weeks. Since it is generally self-paced, completion time depends entirely on your learning schedule and availability.

Is this course more theory-focused or project-focused?

This course provides a strong mix of conceptual theory and practical application to ensure a comprehensive understanding of the subject matter.

Do I get a certificate after completing UCSanDiegoX: Graph Algorithms in Genome Sequencing?

Yes, a certificate of completion is included, which you can add to your professional profile or resume to showcase your newly acquired skills.

Biology & Life Sciences

UCSanDiegoX: Graph Algorithms in Genome Sequencing

Name: UCSanDiegoX: Graph Algorithms in Genome Sequencing
Price: 12450 INR
Availability: InStock

Learn how graphs are used to assemble millions of pieces of DNA into a contiguous genome and use these genomes to construct a Tree of Life.

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Course Insight

Suitable for intermediate learners. Works well as a continuation after mastering Biology & Life Sciences fundamentals. It bridges the gap toward advanced, production-level engineering.

Intermediate FriendlyCertification IncludedSelf-Paced Learning

SKILLS TO
MASTER

Biology & Life Sciences Basics

Fundamental principles and concepts

Practical Application

Real-world project implementation

Best Practices

Industry standard workflows and guidelines

Problem Solving

Core Concepts

Implementation

Workflow Integration

Optimization

Careers:Relevant for professionals pursuing roles within Biology & Life Sciences.

Quick Facts

3 weeks

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What You’ll Learn

Graph algorithms.
Algorithms for genome assembly.
Phylogenetics.

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Description

In this course, part of the Algorithms and Data Structures MicroMasters program, you will learn how graph algorithms are used in two fundamental problems in modern biology:

How do we sequence a genome?

How do we construct an evolutionary “Tree of Life?"

In the first part of the course, you will learn how genome sequencing relies on using a graph to assemble millions of tiny DNA fragments into a contiguous genome. We will then shift gears and learn how to construct an evolutionary tree of life from genome data.

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