What will you in the Python for Genomic Data Science Course
Fundamentals of Python programming tailored for genomic data analysis
Utilization of Jupyter Notebooks for interactive coding and data exploration
Implementation of core programming constructs: data structures, conditionals, loops, and functions
Application of Python in processing and analyzing genomic datasets
Development of scripts to automate genomic data workflows
Program Overview
Module 1: Introduction to Python Programming
Duration: 2 hours
Overview of Python’s relevance in genomic data science
Setting up the programming environment with Jupyter Notebooks
Writing and executing basic Python scripts
Understanding variables, data types, and simple operations
Module 2: Data Structures and Control Flow
Duration: 1 hour
Exploration of Python data structures: lists, dictionaries, tuples
Implementing control flow using if statements and loops
Practical exercises on manipulating genomic sequences
Module 3: Functions, Modules, and Packages
Duration: 1 hour
Defining and invoking functions for code modularity
Importing and utilizing Python modules and packages
Applying functions to perform repetitive genomic data tasks
Module 4: Working with Genomic Data
Duration: 4 hours
Reading and writing genomic data files (e.g., FASTA, FASTQ)
Parsing and processing real genomic datasets
Automating data analysis pipelines for genomic research
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Job Outlook
Bioinformaticians: Enhance programming skills for genomic data analysis
Molecular Biologists: Integrate computational tools into laboratory research
Data Scientists: Apply Python to biological data challenges
Students and Researchers: Build a foundation in computational genomics
Specification: Python for Genomic Data Science
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