Python for Bioinformatics
Welcome to Rebioin AI! In this video, you'll learn how Python is used in Bioinformatics to analyze biological data, automate research tasks, and solve real-world problems in genomics, proteomics, and computational biology. We cover Python basics, essential libraries, sequence analysis, data processing, and practical applications in biotechnology and life science research.
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00:00 – Introduction: Python in Life Sciences
02:53 – The 6 Building Blocks of a Bio-Data Pipeline
06:23 – Setting up Google Colab
09:37 – Your First Command: "Hello World"
11:05 – Variables
16:53 – Loops
20:41 – Functions
24:45 – File Handling
25:40 – NumPy: Fast Mathematical Calculations
30:05 – Pandas: Data Tables
36:25 – Biopython: DNA, RNA, and Protein sequences
40:35 – Calculating GC Content
46:27 – DNA Translation and Transcription
48:18 – Data Visualization: Matplotlib & Seaborn
50:00 – Importing and Analyzing an Excel/CSV file
01:03:15 – Generating Bar Charts
01:10:05 – Generating Box Plots
01:12:15 – Statistics: T-tests and P-value calculations
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