

from20.53USD/ h
Bioinformatics and Data Skills using R, Python, Mega and Galaxy
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 via webcam
General info
Age: | Teenagers (13-17 years old) Adults (18-64 years old) |
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Student level: | Beginner |
Duration: | 60 minutes |
The class is taught in: | English |
About Me
I am currently in Liverpool, studying at the University of Liverpool. I am currently doing my Masters in Bioinformatics. I love learning just about most things, but I am mostly interested in Biology, Computers, Physics and Math.I love doing anything art related as well. I am very passionate about those things so I am willing to get into long debates about these as well. So ask me anything you like.
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Send a message explaining your needs and Shishir Shreyas will reply soon:
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from $20.53Online via webcam
100% Satisfaction Guarantee
Good-fit Instructor Guarantee
If you are not satisfied after your first lesson, Apprentus will find you another instructor or will refund your first lesson.
Online reputation
- Instructor since January 2025
- Google connected
Availability of a typical week
(GMT -04:00) New York
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from $20.53Online via webcam
Good-fit Instructor Guarantee
If you are not satisfied after your first lesson, Apprentus will find you another instructor or will refund your first lesson.
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