The problem
A sequence-wide composition count can hide local regions dominated by a small set of bases. Those regions need a windowed view.
Science systems / 2026
EntropySeq
Analyze DNA sequence complexity across sliding windows and export low-entropy regions.
My role
Sequence-analysis logic, interactive profile, and export workflow.
What I built
- Sliding-window entropy profile
- Low-entropy window table
- FASTA and CSV exports
The result
A runnable sequence-analysis tool for locating and exporting regions with low compositional entropy.
Statusactive
Evidencerunnable
Record reviewed
Implementation
How it works
Paste or upload DNA, choose window and step sizes, and calculate Shannon entropy from base frequencies. Inspect the profile and low-entropy windows, then export the table or extracted sequences.
Technical context and methods
The project includes a Streamlit application and CLI alongside the runnable browser route. The browser supports sequence input, windowed profiles, low-entropy extraction, and FASTA/CSV export.
- Python
- Streamlit
- Sequence parsing
- Sliding windows
- Shannon entropy
- Plotting / visualization
- Genomic region comparison