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Umberto Ferraro Petrillo

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IEEE Transactions on Computational Biology and Bioinformatics|August 14, 2025
Efficient and Scalable Alignment-Free Distributed Genotyping of SNPs and Short IndelsLorenzo Di Rocco, Umberto Ferraro Petrillo
Plos Computational Biology|July 20, 2023
Ten quick tips for bioinformatics analyses using an Apache Spark distributed computing environmentDavide Chicco, Umberto Ferraro Petrillo, Giuseppe Cattaneo
BMC Bioinformatics|February 16, 2022
Correction to: FASTA/Q data compressors for MapReduce-Hadoop genomics: space and time savings made easyUmberto Ferraro Petrillo, Francesco Palini, Giuseppe Cattaneo, et al.
Bioinformatics (Oxford, England)|January 18, 2018
Informational and linguistic analysis of large genomic sequence collections via efficient Hadoop cluster algorithmsUmberto Ferraro Petrillo, Gianluca Roscigno, Giuseppe Cattaneo, et al.
Bioinformatics (Oxford, England)|January 18, 2017
FASTdoop: a versatile and efficient library for the input of FASTA and FASTQ files for MapReduce Hadoop bioinformatics applicationsUmberto Ferraro Petrillo, Gianluca Roscigno, Giuseppe Cattaneo, et al.
Bioinformatics (Oxford, England)|January 20, 2021
Alignment-free Genomic Analysis via a Big Data Spark PlatformUmberto Ferraro Petrillo, Francesco Palini, Giuseppe Cattaneo, et al.
BMC Bioinformatics|November 11, 2022
DIAMIN: a software library for the distributed analysis of large-scale molecular interaction networksLorenzo Di Rocco, Umberto Ferraro Petrillo, Simona E Rombo
BMC Bioinformatics|March 23, 2021
FASTA/Q data compressors for MapReduce-Hadoop genomics: space and time savings made easyUmberto Ferraro Petrillo, Francesco Palini, Giuseppe Cattaneo, et al.
Bioinformatics (Oxford, England)|October 31, 2021
The power of word-frequency-based alignment-free functions: a comprehensive large-scale experimental analysisGiuseppe Cattaneo, Umberto Ferraro Petrillo, Raffaele Giancarlo, et al.
BMC Bioinformatics|April 20, 2019
Analyzing big datasets of genomic sequences: fast and scalable collection of k-mer statisticsUmberto Ferraro Petrillo, Mara Sorella, Giuseppe Cattaneo, et al.
Pageof 2

Showing results (1-10 of 15) with videos related to

Sort By:
Pageof 2
IEEE Transactions on Computational Biology and Bioinformatics|August 14, 2025
Efficient and Scalable Alignment-Free Distributed Genotyping of SNPs and Short IndelsLorenzo Di Rocco, Umberto Ferraro Petrillo
Plos Computational Biology|July 20, 2023
Ten quick tips for bioinformatics analyses using an Apache Spark distributed computing environmentDavide Chicco, Umberto Ferraro Petrillo, Giuseppe Cattaneo
BMC Bioinformatics|February 16, 2022
Correction to: FASTA/Q data compressors for MapReduce-Hadoop genomics: space and time savings made easyUmberto Ferraro Petrillo, Francesco Palini, Giuseppe Cattaneo, et al.
Bioinformatics (Oxford, England)|January 18, 2018
Informational and linguistic analysis of large genomic sequence collections via efficient Hadoop cluster algorithmsUmberto Ferraro Petrillo, Gianluca Roscigno, Giuseppe Cattaneo, et al.
Bioinformatics (Oxford, England)|January 18, 2017
FASTdoop: a versatile and efficient library for the input of FASTA and FASTQ files for MapReduce Hadoop bioinformatics applicationsUmberto Ferraro Petrillo, Gianluca Roscigno, Giuseppe Cattaneo, et al.
Bioinformatics (Oxford, England)|January 20, 2021
Alignment-free Genomic Analysis via a Big Data Spark PlatformUmberto Ferraro Petrillo, Francesco Palini, Giuseppe Cattaneo, et al.
BMC Bioinformatics|November 11, 2022
DIAMIN: a software library for the distributed analysis of large-scale molecular interaction networksLorenzo Di Rocco, Umberto Ferraro Petrillo, Simona E Rombo
BMC Bioinformatics|March 23, 2021
FASTA/Q data compressors for MapReduce-Hadoop genomics: space and time savings made easyUmberto Ferraro Petrillo, Francesco Palini, Giuseppe Cattaneo, et al.
Bioinformatics (Oxford, England)|October 31, 2021
The power of word-frequency-based alignment-free functions: a comprehensive large-scale experimental analysisGiuseppe Cattaneo, Umberto Ferraro Petrillo, Raffaele Giancarlo, et al.
BMC Bioinformatics|April 20, 2019
Analyzing big datasets of genomic sequences: fast and scalable collection of k-mer statisticsUmberto Ferraro Petrillo, Mara Sorella, Giuseppe Cattaneo, et al.
Pageof 2