about
Sex-related alterations of gut microbiota composition in the BTBR mouse model of autism spectrum disorder.A distinct group of CpG islands shows differential DNA methylation between replicas of the same cell line in vitro.ampliMethProfiler: a pipeline for the analysis of CpG methylation profiles of targeted deep bisulfite sequenced amplicons.Tracking the evolution of epialleles during neural differentiation and brain development: D-Aspartate oxidase as a model geneModeling DNA methylation by analyzing the individual configurations of single molecules.INfORM: Inference of NetwOrk Response Modules.Integration of genome-wide mRNA and miRNA expression, and DNA methylation data of three cell lines exposed to ten carbon nanomaterialsMulti-omics analysis of ten carbon nanomaterials effects highlights cell type specific patterns of molecular regulation and adaptationeUTOPIA: solUTion for Omics data PreprocessIng and AnalysisFunMappOne: a tool to hierarchically organize and visually navigate functional gene annotations in multiple experimentsGenome-wide mapping of 8-oxo-7,8-dihydro-2'-deoxyguanosine reveals accumulation of oxidatively-generated damage at DNA replication origins within transcribed long genes of mammalian cellsDNA sequence context as a marker of CpG methylation instability in normal and cancer tissuesFeature set optimization in biomarker discovery from genome scale dataCholesteatoma vs granulation tissue: a differential diagnosis by DWI-MRI apparent diffusion coefficientPhosphorylation of NFATC1 at PIM1 target sites is essential for its ability to promote prostate cancer cell migration and invasionKnowledge Generation with Rule Induction in Cancer OmicsGain-of-function CEBPE mutation causes noncanonical autoinflammatory inflammasomopathy
P50
Q30843140-3371AD98-C4C7-489B-A6F6-341D8D2AAA80Q35012408-8CC1490E-383E-455B-9416-78D7BAF2C0CFQ36203427-E7C9B35F-E4F6-4806-8792-B185A40811E5Q41858309-B38F4012-1F9B-4CE3-BF91-650BA5019833Q42339448-09963DFC-C238-4D85-8508-FA7526FAB6A7Q50098916-FC0CCD6E-7466-43AC-B027-2504BD62C7A2Q58924479-BE24105C-E67E-45AF-AF97-A9DAF26FE9ADQ58924480-AE232EB6-90E6-42E8-837F-A3734823BBCEQ61807651-03D53300-1019-440C-BFC3-37BFE8BADF96Q64245566-854C3C61-1276-48F4-930B-F9098D23232AQ64388787-2B6E358C-4C57-44E8-BBFF-F4D6BA0D2EA2Q89518530-E3C920E6-2791-4706-90DE-8FF4F618E6EBQ89970942-E5D2D03F-A999-4F01-9C0F-CD16D71FF816Q90829653-36F0D1B6-923B-4F0E-9816-A3E7FCCED41CQ91295609-3C4E8B6B-EAE1-4B5E-971E-C3518E092F26Q92153663-738ED844-1575-42A2-BE06-810AF0E29D34Q92765236-A23B9AFA-069E-453D-AD0D-3EE93A515E2F
P50
description
researcher (ORCID 0000-0002-9037-1782)
@en
name
Giovanni Scala
@en
type
label
Giovanni Scala
@en
prefLabel
Giovanni Scala
@en
P31
P496
0000-0002-9037-1782