Balanced DNA Interpolation Improves Learning of Genetic Distance-Informed Embeddings

Zenodo (CERN European Organization for Nuclear Research) 2026 Dataset Open access

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Authors: Lara M. Kösters, Kevin Karbstein, Ladislav Hodač, Laura Albreht, Elvira Sahuquillo, Daniel Botello, Olivier J. Hardy, Phebian Temitope Odufuwa, Eva Pardo Otero, Aireen Phang, Manuel Pimentel, Rosalía Piñeiro Portela
+4 more James F. Smith, Peter Wilkie, Patrick Mäder, Jana Wäldchen
DOI: 10.5281/zenodo.18510310
Cited by: 0

Abstract

This repository contains the data needed to run DNAInterpolator.Within the repository you will find:- The record files of the four datasets used for the study "Balanced DNA Interpolation Improves Learning of Genetic Distance-Informed Embeddings", named $TAXON_train.csv since they correspond to the training split of the original data. - A data folder containing the locus alignments for each of the taxa.

Fields of Study & Subjects

Genomics and Phylogenetic Studies Fractal and DNA sequence analysis Machine Learning in Bioinformatics

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
6 February 2026
Document type
Dataset