Multiple Sequence Alignment via Dynamic Programming
Project description
Dil / Language: 🇹🇷 Türkçe · 🇬🇧 English
zehramsa — Çoklu Dizi Hizalama Kütüphanesi
zehramsa, Needleman-Wunsch dinamik programlama algoritması ve Center Star Alignment yaklaşımını kullanarak birden fazla DNA dizisini hizalayan, saf Python ile yazılmış bir kütüphanedir. Harici bağımlılık gerektirmez; pip ile kurulabilir.
Teknolojiler
- Python 3.9+
- Needleman-Wunsch — global pairwise hizalama (dinamik programlama)
- Center Star Alignment — çoklu dizi birleştirme stratejisi
- pyproject.toml — pip kurulum desteği
Özellikler
- İkili dizi hizalama (Needleman-Wunsch DP)
- 3+ dizi için Center Star tabanlı MSA
- Özelleştirilebilir puanlama (match / mismatch / gap)
- Hizalama skoru ve kimlik yüzdesi hesaplama
- Tip ve girdi doğrulama ile açık hata mesajları
Kurulum
pip install zehramsa
Kullanım
from zehramsa import align, SimpleScoring
result = align(["GATTACA", "GCATGCU", "GAGTACA"])
print(result)
result = align(["ACGT", "ACCT", "AGGT"], scoring=SimpleScoring(match=2.0, mismatch=-1.0, gap=-2.0))
print(result.center_sequence)
Süreç
Proje, dinamik programlama ile çoklu dizi hizalamasının sıfırdan uygulanmasına odaklanır. Önce Needleman-Wunsch algoritması ayrı bir modül olarak kuruldu; ardından 3+ dizi için Center Star stratejisi entegre edildi. Tüm çiftler için NW tek seferde çalıştırılıp cache'lenerek gereksiz hesaplama tekrarı engellendi. API kasıtlı olarak tek giriş noktasına (align()) indirgendi.
zehramsa — Multiple Sequence Alignment Library
zehramsa is a pure Python library that aligns multiple DNA sequences using the Needleman-Wunsch dynamic programming algorithm and Center Star Alignment strategy. No external dependencies required; installable via pip.
Technologies
- Python 3.9+
- Needleman-Wunsch — global pairwise alignment (dynamic programming)
- Center Star Alignment — multi-sequence merging strategy
- pyproject.toml — pip installation support
Features
- Pairwise sequence alignment (Needleman-Wunsch DP)
- MSA for 3+ sequences via Center Star approach
- Customizable scoring (match / mismatch / gap)
- Alignment score and identity percentage calculation
- Type and input validation with clear error messages
Installation
pip install zehramsa
Usage
from zehramsa import align, SimpleScoring
result = align(["GATTACA", "GCATGCU", "GAGTACA"])
print(result)
result = align(["ACGT", "ACCT", "AGGT"], scoring=SimpleScoring(match=2.0, mismatch=-1.0, gap=-2.0))
print(result.center_sequence)
The Process
The project focuses on implementing multiple sequence alignment from scratch using dynamic programming. Needleman-Wunsch was built as a standalone module first; Center Star strategy was then integrated for 3+ sequences. All pairwise NW results are computed once and cached to eliminate redundant computation. The public API was intentionally reduced to a single entry point (align()).
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