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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.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…