Sequence alignments are often used to analyze genomic data. However, such alignments are often only calculated and compared on small sequence intervals for analysis purposes. When comparing longer ...

The project was carried out as part of Jean Feydy's Geometric data analysis course in the Master MVA (ENS Paris Saclay). We studied and re-implemented from scratch the "Wassertein-based graph ...

Interactive graph visualization of AI Alignment Research High-Quality LLM-based segementation of papers Search for papers by title, author, or abstract Filter by year, source, and category Click on a ...

The estimation of large multiple sequence alignments (MSAs) is a basic bioinformatics challenge. Divide-and-conquer is a useful approach that has been shown to improve the scalability and accuracy of ...

Abstract: Sequence-to-graph alignment is a critical component of pan-genome-based read alignment and represents the most computationally intensive step in this process. To address this challenge, we ...

Abstract: Graph alignment aims at finding the vertex correspondence between two correlated graphs, a task that frequently occurs in graph mining applications such as social network analysis.

Alignment of protein sequences (MPSA) is the starting point for a multitude of applications in molecular biology. Here, we present a novel MPSA program based on the SeqAn sequence alignment library.