activity
20092023
most citedInducing the Lyndon Array

6 citations · 26 across the 22 of their papers we have counts for

collaborators

29 papers

cs.DS2023

The landscape of compressibility measures for two-dimensional data

Lorenzo Carfagna, Giovanni Manzini

In this paper we extend to two-dimensional data two recently introduced one-dimensional compressibility measures: the measure defined in terms of the smallest string attractor,…

cs.DS2023

Computing matching statistics on Wheeler DFAs

Alessio Conte, Nicola Cotumaccio, Travis Gagie +3

Matching statistics were introduced to solve the approximate string matching problem, which is a recurrent subroutine in bioinformatics applications. In 2010, Ohlebusch et al. [SPI…

cs.DS2022

Teaching the Burrows-Wheeler Transform via the Positional Burrows-Wheeler Transform

Travis Gagie, Giovanni Manzini, Marinella Sciortino

The Burrows-Wheeler Transform (BWT) is often taught in undergraduate courses on algorithmic bioinformatics, because it underlies the FM-index and thus important tools such as Bowti…

cs.DS2022

A New Class of String Transformations for Compressed Text Indexing

Raffaele Giancarlo, Giovanni Manzini, Antonio Restivo +2

Introduced about thirty years ago in the field of Data Compression, the Burrows-Wheeler Transform (BWT) is a string transformation that, besides being a booster of the performance…

cs.DS2022★ 1 cited

Improving Matrix-vector Multiplication via Lossless Grammar-Compressed Matrices

Paolo Ferragina, Travis Gagie, Dominik Köppl +4

As nowadays Machine Learning (ML) techniques are generating huge data collections, the problem of how to efficiently engineer their storage and operations is becoming of paramount…

cs.DS2020

PHONI: Streamed Matching Statistics with Multi-Genome References

Christina Boucher, Travis Gagie, Tomohiro I +6

Computing the matching statistics of patterns with respect to a text is a fundamental task in bioinformatics, but a formidable one when the text is a highly compressed genomic data…