Author

Tiziana Castrignanò

Università degli Studi della TusciaORCID 0000-0002-0689-6720Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Approach:machine learning (classical)· 2 Approach:statistical model· 2 Research Focus:variant calling· 2 Research Focus:variant effect prediction· 2 Approach:Bayesian inference· 1 Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1

Frequent Co-Authors

Alessandro PetriniiD· 1 shared Daniel DanišiD· 1 shared Ernesto PicardiiD· 1 shared Giorgio ValentiniiD· 1 shared Giovanni ChillemiiD· 1 shared Giuliano GrossiiD· 1 shared Graziano PesoleiD· 1 shared Ilario TagliaferriiD· 1 shared

Activity by Year

2020-2020 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperBioinformatics

Alessandro PetriniORCID

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2 papers

Recent·Most cited

BioinformaticsBMC BioinformaticsPeer-reviewedAug 1, 2020

HPC-REDItools: a Novel HPC-aware Tool for Improved Large Scale RNA-editing Analysis

Tiziano Flati, Silvia Gioiosa, Nicola Spallanzani…·Tiziana Castrignanò

HPC-REDItools improves RNA-editing analysis by enabling faster processing of large datasets using MPI-based parallel computing.

77 citations

bulk RNA-seqstatistical model

BioinformaticsGigaSciencePeer-reviewedMay 1, 2020

parSMURF, a High Performance Computing tool for the genome-wide detection of pathogenic variants

Alessandro Petrini, Marco Mesiti, Max Schubach…·Giorgio Valentini

parSMURF is a parallel machine learning tool for detecting pathogenic variants in genomic data, achieving state-of-the-art results with an 80x speed-up over sequential versions.

15 citations

humanwhole-genome sequencing