activity
20162024
most citedAlgorithms to compute the Burrows-Wheeler Similarity Distribution

18 citations · 38 across the 6 of their papers we have counts for

collaborators

6 papers

cs.DS2024

Comparative genomics with succinct colored de Bruijn graphs

Lucas P. Ramos, Felipe A. Louza, Guilherme P. Telles

DNA technologies have evolved significantly in the past years enabling the sequencing of a large number of genomes in a short time. Nevertheless, the underlying computational probl…

cs.DS2019★ 6 cited

Inducing the Lyndon Array

Felipe A. Louza, Sabrina Mantaci, Giovanni Manzini +2

In this paper we propose a variant of the induced suffix sorting algorithm by Nong (TOIS, 2013) that computes simultaneously the Lyndon array and the suffix array of a text in $O(n…

cs.DS2019★ 18 cited

Algorithms to compute the Burrows-Wheeler Similarity Distribution

Felipe A. Louza, Guilherme P. Telles, Simon Gog +1

The Burrows-Wheeler transform (BWT) is a well studied text transformation widely used in data compression and text indexing. The BWT of two strings can also provide similarity meas…

cs.DS2018

External memory BWT and LCP computation for sequence collections with applications

Lavinia Egidi, Felipe A. Louza, Giovanni Manzini +1

We propose an external memory algorithm for the computation of the BWT and LCP array for a collection of sequences. Our algorithm takes the amount of available memory as an input p…

cs.DS2017★ 5 cited

Lyndon Array Construction during Burrows-Wheeler Inversion

Felipe A. Louza, W. F. Smyth, Giovanni Manzini +1

In this paper we present an algorithm to compute the Lyndon array of a string of length as a byproduct of the inversion of the Burrows-Wheeler transform of . Our algorit…

cs.DS2016★ 9 cited

Burrows-Wheeler transform and LCP array construction in constant space

Felipe A. Louza, Travis Gagie, Guilherme P. Telles

In this article we extend the elegant in-place Burrows-Wheeler transform (BWT) algorithm proposed by Crochemore et al. (Crochemore et al., 2015). Our extension is twofold: we first…