Bioinformatics and Data Skills using R, Python, Mega and Galaxy
From 15 £ /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.
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
Availability of a typical week
(GMT -05:00)
New York
Mon
Tue
Wed
Thu
Fri
Sat
Sun
00-04
04-08
08-12
12-16
16-20
20-24
Good-fit Instructor Guarantee