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multiple-sequence-alignment
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Making Protein folding accessible to all!
Generation of protein sequences and evolutionary alignments via discrete diffusion models
A tool for automated alignment trimming in large-scale phylogenetic analyses. Development version: 2.0
Algorithm for ultra-scale multiple sequence alignments (3M protein sequences in 5 minutes and 24 GB of RAM)
MSA(Multiple Sequence Alignment) visualization python package for sequence analysis
abPOA: an SIMD-based C library for fast partial order alignment using adaptive band
A Julia package to analyze protein sequences, structures, and evolutionary information
Implementation of Neural Distance Embeddings for Biological Sequences (NeuroSEED) in PyTorch (NeurIPS 2021)
Exploring Evolution-aware & free protein language models as protein function predictors
Scalable long read self-correction and assembly polishing with multiple sequence alignment
Fast and accurate protein structure prediction
Cython bindings and Python interface to FAMSA, an algorithm for ultra-scale multiple sequence alignments.
🧬 MSABrowser: dynamic and fast visualization of sequence alignments, variations, and annotations
Improved RNA Secondary Secondary Structure Prediction using Evolutionary Profile, Mutational Coupling and Two-dimensional Transfer Learning
TideHunter: efficient and sensitive tandem repeat detection from noisy long reads using seed-and-chain
Multiple sequence alignment visualizer
Cython bindings and Python interface to trimAl, a tool for automated alignment trimming. Now with SIMD!
Talleres Internacionales de Bioinformática - Centro de Ciencias Genómicas, UNAM, Cuernavaca, México
Differentiable Pairing using Alignment-based Language Models