Multiple Sequence Alignment as a Sequence-to-Sequence Learning Problem
Abstract:
The sequence alignment problem is one of the most fundamental problems in bioinformatics and a plethora of methods were devised to tackle it. Here we introduce BetaAlign, a methodology for aligning sequences using an NLP approach. BetaAlign accounts for the possible variability of the evolutionary process among different datasets by using an ensemble of transformers, each trained on millions… See the full description on the dataset page: https://huggingface.co/datasets/dotan1111/MSA-nuc-2-seq.
