activity
20182021
most citedAlignment-free Genomic Analysis via a Big Data Spark Platform

12 citations · 12 across the 5 of their papers we have counts for

collaborators

5 papers

q-bio.GN2021

The Power of Word-Frequency Based Alignment-Free Functions: a Comprehensive Large-scale Experimental Analysis -- Version 3

Giuseppe Cattaneo, Umberto Ferraro Petrillo, Raffaele Giancarlo +2

Motivation: Alignment-free (AF) distance/similarity functions are a key tool for sequence analysis. Experimental studies on real datasets abound and, to some extent, there are also…

eess.IV2020

On the Reliability of the PNU for Source Camera Identification Tasks

Andrea Bruno, Giuseppe Cattaneo, Paola Capasso

The PNU is an essential and reliable tool to perform SCI and, during the years, became a standard de-facto for this task in the forensic field. In this paper, we show that, althoug…

cs.DC2020

FASTA/Q Data Compressors for MapReduce-Hadoop Genomics:Space and Time Savings Made Easy -- Version 1

Umberto Ferraro Petrillo, Francesco Palini, Giuseppe Cattaneo +1

Motivation: Storage of genomic data is a major cost for the Life Sciences, effectively addressed mostly via specialized data compression methods. For the same reasons of abundance…

cs.DC2020★ 12 cited

Alignment-free Genomic Analysis via a Big Data Spark Platform

Umberto Ferraro Petrillo, Francesco Palini, Giuseppe Cattaneo +1

Motivation: Alignment-free distance and similarity functions (AF functions, for short) are a well established alternative to two and multiple sequence alignments for many genomic,…

cs.DC2018

Analyzing Big Datasets of Genomic Sequences: Fast and Scalable Collection of k-mer Statistics

Umberto Ferraro Petrillo, Mara Sorella, Giuseppe Cattaneo +2

Distributed approaches based on the map-reduce programming paradigm have started to be proposed in the bioinformatics domain, due to the large amount of data produced by the next-g…