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A physical, genetic and functional sequence assembly of the barley genomeCombinatorial pooling enables selective sequencing of the barley gene spaceA mathematical-biological joint effort to investigate the tumor-initiating ability of Cancer Stem Cells.Optimizing a massive parallel sequencing workflow for quantitative miRNA expression analysis.Large disclosing the nature of computational tools for the analysis of next generation sequencing data.Multi-level model for the investigation of oncoantigen-driven vaccination effect.State of art fusion-finder algorithms are suitable to detect transcription-induced chimeras in normal tissues?A versatile mathematical work-flow to explore how Cancer Stem Cell fate influences tumor progression.Alternative splicing detection workflow needs a careful combination of sample prep and bioinformatics analysis.Sequencing of 15 622 gene-bearing BACs clarifies the gene-dense regions of the barley genome.Dissecting the genomic activity of a transcriptional regulator by the integrative analysis of omics data.Peculiar Genes Selection: A new features selection method to improve classification performances in imbalanced data setsThe molecular landscape of colorectal cancer cell lines unveils clinically actionable kinase targets.A computational analysis of S-(2-succino)cysteine sites in proteins.State-of-the-art fusion-finder algorithms sensitivity and specificityChimera: a Bioconductor package for secondary analysis of fusion products.HashClone: a new tool to quantify the minimal residual disease in B-cell lymphoma from deep sequencing data.SeqBox: RNAseq/ChIPseq reproducible analysis on a consumer game computer.Luminal breast cancer-specific circular RNAs uncovered by a novel tool for data analysis.Modeling Clinical Guidelines through Petri NetsThe GreatSPN toolAnalysis of Timed Properties Using the Jump-Diffusion ApproximationApproximate analysis of biological systems by hybrid switching jump diffusionAnalysis of Petri Net Models through Stochastic Differential EquationsA Mean Field Based Methodology for Modeling Mobility in Ad Hoc NetworksA computational approach based on the colored Petri net formalism for studying multiple sclerosisrCASC: reproducible classification analysis of single-cell sequencing data
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description
hulumtues
@sq
onderzoeker
@nl
researcher
@en
հետազոտող
@hy
name
Marco Beccuti
@ast
Marco Beccuti
@en
Marco Beccuti
@es
Marco Beccuti
@sl
type
label
Marco Beccuti
@ast
Marco Beccuti
@en
Marco Beccuti
@es
Marco Beccuti
@sl
prefLabel
Marco Beccuti
@ast
Marco Beccuti
@en
Marco Beccuti
@es
Marco Beccuti
@sl
P106
P1153
8285239400
P21
P2456
P31
P496
0000-0001-6125-9460