Bioinformatics and Data Skills using R, Python, Mega and Galaxy

From 16.36 Fr /h

Dive into the exciting world of bioinformatics, where biology meets data science! This class equips you with essential bioinformatics and data analysis skills to explore and analyze biological data effectively. You will learn how to manage, visualize, and interpret complex datasets using tools like R or Python, understand sequence alignment and annotation techniques, and delve into topics like genomics, transcriptomics, and proteomics.

What You'll Learn:

Data Handling: Fundamentals of working with large biological datasets, including cleaning, formatting, and preprocessing data.
Programming Skills: Basics of R or Python for bioinformatics applications, including scripting and automating analyses.
Genomic Analysis: Sequence alignment, gene annotation, and exploring genomic databases.
Statistical Analysis: Applying statistical techniques to identify patterns and draw meaningful conclusions.
Visualization: Creating clear and informative plots for biological data.
Applications:

Perform differential gene expression analysis to understand disease mechanisms.
Analyze genetic variants to study evolutionary patterns or predict disease risks.
Explore protein structures and functions for drug discovery.
Use bioinformatics pipelines to support cutting-edge research in academia or industry.
Whether you're aspiring to work in biotech, academia, or data science, this class provides the foundation you need to bridge biology and technology, opening doors to a range of exciting opportunities.

Extra information

All you need is a laptop and stable internet connection.

Location

Online from United Kingdom

Age

Teenagers (13-17 years old)

Adults (18-64 years old)

Student level

Beginner

Duration

60 minutes

The class is taught in

English

Skills

Biology

Computer programming

Database

Availability of a typical week

(GMT -04:00)

New York

Online via webcam

Mon

Tue

Wed

Thu

Fri

Sat

Sun

00-04

04-08

08-12

12-16

16-20

20-24

4.85

(13)

Hello, I am a doctoral student in electrical engineering and associate professor in engineering sciences, experienced in the field of electrical engineering, I offer support courses in the subjects of engineering sciences (Electronics, automatics, electrical engineering, automation, programming).

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Associate professor provides support courses in electrical engineering

Mr.

4.85

(13)

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