Can We Replace Reads by Numeric Signatures? Lyndon Fingerprints as Representations of Sequencing Reads for Machine Learning. - Paola Bonizzoni; Clelia De Felice; Alessia Petescia; Yuri Pirola; Raffaella Rizzi; Jens Stoye; Rocco Zaccagnino; Rosalba Zizza (AlCoB, 2021)

KFinger: Capturing Overlaps Between Long Reads by Using Lyndon Fingerprints. - Paola Bonizzoni; Alessia Petescia; Yuri Pirola; Raffaella Rizzi; Rocco Zaccagnino; Rosalba Zizza (IWBBIO (2), 2022)

MARIA: Multiple-alignment r-index with aggregation. - Adrián Goga; Andrej Baláz; Alessia Petescia; Travis Gagie (CoRR, 2022)

Numeric Lyndon-based feature embedding of sequencing reads for machine learning approaches. - Paola Bonizzoni; Matteo Costantini; Clelia de Felice; Alessia Petescia; Yuri Pirola; Marco Previtali; Raffaella Rizzi; Jens Stoye; Rocco Zaccagnino; Rosalba Zizza (Inf. Sci., 2022)

Prefix-free Graphs and Suffix Array Construction in Sublinear Space. - Andrej Baláz; Alessia Petescia (ITAT, 2023)

Navigating the Explainable Molecular Graph: Best Practices for Representation Learning in Bioinformatics. - Rocco Zaccagnino; Gerardo Benevento; Gianpaolo Laurenzano; Delfina Malandrino; Alessia Petescia; Gianluca Zaccagnino (BIBE, 2024)

Wheeler Maps. - Andrej Baláz; Travis Gagie; Adrián Goga; Simon Heumos; Gonzalo Navarro 001; Alessia Petescia; Jouni Sirén (LATIN (1), 2024)