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For First Responders · Sequence Alignment

Sequence Alignment for a bacterial growth

Built for first responders planning or training for real incidents. Run fast what-if scenarios for response planning and training — no software to install in the field. Simulate a bacterial growth live below — adjust the inputs and watch it respond, right in your browser.

Sequence Alignment (Needleman-Wunsch)Live

global DNA alignment

Controls

Sequence ASequence B

Presets

MatchMismatchGap

The Needleman-Wunsch algorithm finds the optimal global alignment of two sequences by dynamic programming, filling a scoring matrix and tracing back the best path. It is the foundation of bioinformatics — comparing genes, proteins, and genomes. The heatmap shows the accumulated score matrix.

▶ Run in Python

Data Inspector

Alignment score0

Identity0%

Length0

Governing equation

F_{i, j} = max (F_{i - 1, j - 1} + s, F_{i - 1, j} + d, F_{i, j - 1} + d), d = - 2, score = 0

Reading this result: Low similarity: only 0% of columns match (score 0). The optimal alignment leans on -2-penalty gaps and mismatches, so the sequences share little common structure.

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Frequently asked questions

Is this good for first responders?: Yes — this version of "Sequence Alignment for a bacterial growth" is framed for first responders planning or training for real incidents. Run fast what-if scenarios for response planning and training — no software to install in the field.
Do I need to install anything?: No. It runs in any modern browser, free, with no account required.