Source
https://www.udemy.com/course/bioinformatics-scripting-python-r-linux-for-data-analysis/
Category
File Size
8 GB
Publisher
udemy
Updated
March 04, 2024
Description
- Fundamentals of Python, R, and Bash scripting: Learn the basics of these scripting languages, including syntax, data types, variables, and control structures.
- Data parsing and manipulation: Understand how to parse and manipulate various biological data types, such as DNA sequences, protein structures, and gene express
- Data visualization: Learn how to visualize biological data using Python and R, including creating plots, charts, and graphs to gain insights from the data.
- Statistical analysis: Explore statistical analysis techniques in R for analyzing biological datasets, including hypothesis testing, regression analysis, and clu
- Automation and pipeline development: Learn how to automate repetitive tasks and build efficient data processing pipelines using Bash scripting.
- Real-life data analysis projects: Apply the skills learned throughout the course to real-life biological datasets, gaining hands-on experience in bioinformatics
- Best practices in bioinformatics scripting: Learn best practices for writing clean, efficient, and maintainable scripts for bioinformatics analysis.
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