Official git repository for Biopython (originally converted from CVS)
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Updated
Feb 7, 2025 - Python
Official git repository for Biopython (originally converted from CVS)
Comparative Genomics Toolkit 3
Neural Networks for Protein Sequence Alignment
MSA(Multiple Sequence Alignment) visualization python package for sequence analysis
Efficient implementations of Needleman-Wunsch and other sequence alignment algorithms written in Rust with Python bindings via PyO3.
Universal Transcript Archive: comprehensive genome-transcript alignments; multiple transcript sources, versions, and alignment methods; available as a docker image
An easy to use and comprehensive python package which aids in the analysis and visualization of orthologous genes. 🐵
Scoring multiple sequence alignments with Python
Straightforward & minimalistic removal of poorly aligned regions in sequence alignments.
Script for removing or counting invariant sites for the RAxML ascertainment bias corrections
plotnineSeqSuite: a Python package for visualizing sequence data using ggplot2 style
Implementation of Needleman-Wunsch algorithm in Python Using Nested Functions.
A Python module to calculate alignment between two sequences using EMBOSS' needle, stretcher, and water
A python library for decomposing and visualizing tandem repeat sequences
Papillomavirus genome annotation tool
The research of accuracy of searching cycles methods in symbolic sequences (time series) with presence of random noises.
Automatically Adjudicate Any And All Arbitrary Annotations, Astutely Adjoin Abutting Alignments, And Also Amputate Anything Amiss (AAAAAAAAAAAAAAAA)
Less-wrong single-file Numba-accelerated Python implementation of Gotoh affine gap penalty extensions for the Needleman–Wunsch, Smith-Waterman, and Levenshtein algorithms for sequence alignment
MIGA is a Python package that provides a MSA (Multiple Sequence Alignment) mutual information genetic algorithm optimizer. It sorts two MSAs in a way that maximize or minimize their mutual information. The genetic algorithm solvers may run on both CPU and Nvidia GPUs.
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