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future Intermediate 21 lessons

Bioinformatics & DNA

Decode the genome. Master DNA sequencing analysis, genomic data visualization, and biological data processing using Python and Biopython.

Biology is becoming a data science. This course teaches the computational tools used to analyze the building blocks of life. You will learn to parse FASTA/FASTQ files, perform DNA sequence alignment (BLAST), and analyze protein structures. We use the Biopython library to automate the processing of genomic data, preparing you for roles in the booming biotech and personalized medicine industries where code meets cells.

✅ 100% Free & Lifetime Access
⏱️ 5-Minute Lessons (Bite-sized learning)
🚀 21-Lesson Path (Independent modules)
📱 Mobile Friendly (Learn anywhere)
Bio Tech
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Complete Course Syllabus

  • 1
    DNA as Data
    Representing nucleotides (ATCG) as strings in Python.
  • 2
    Biopython Intro
    Parsing file formats and fetching data from NCBI.
  • 3
    Sequence Alignment
    Comparing strands to find mutations and homology.
  • 4
    Protein Structures
    Analyzing 3D folding data files (PDB).
  • 5
    Visualization
    Plotting gene density and chromosome maps.

Estimated completion time: 21 lessons • Self-paced learning • Lifetime access

Career Outlook

Estimated Salary
$100k - $150k

Career Paths

Bioinformatics Scientist $110k-$160k
Computational Biologist $100k-$150k
Genomic Analyst $90k-$130k

What You Will Learn

Analyze DNA and protein sequences using Python scripts
Perform sequence alignments to identify genetic similarities
Parse standard biological formats like FASTA and GenBank
Visualize genomic data structures and mutations
Utilize Biopython for automated biological computation

Skills You Will Gain

Bioinformatics Biopython Genomics Data Analysis Python

Who Is This For

Biologists learning code
Devs entering Biotech
Data Scientists

Prerequisites

Python Basics
Biology 101

Bioinformatics & DNA FAQs

Lab work?

No, this is purely computational (Dry Lab).

Biology degree?

Helpful, but we explain the necessary concepts.

Python?

Yes, it is the standard language for this field.

Real data?

Yes, using public datasets from the Human Genome.

Need more info?
All Reork courses are 100% free, self-paced, and fully accessible on mobile devices. No prior experience is required. Read our full Platform FAQ.

Tech Stack & Tools

Biopython
BLAST
Jupyter
IGV (Viewer)

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