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In the context of the SEMM course "Computational Approaches for Omics Data", Irene Farabella (IIT Genova) will give a seminar. Details are below.


​** 30/10/2026 - h. 14:00
Speaker: Irene Farabella, Italian Institute of Technology (IIT) Genova
title: Decoding Genome Folding with Chromatin Tracing
host: Francesco Ferrari & Martin Schaefer
location: IFOM Conference Room **

Abstract:
Recent advances in microscopy-based 3D genomics enable spatially resolved, single-cell analysis of genome organization in intact cells. Chromatin tracing approaches allow direct visualization of genomic loci across scales, providing insights into the relationship between genome structure and function. Here, we present Chromatin Imaging Analysis (CIMA), an open-source framework for standardized processing, quality control, and analysis of chromatin tracing data. Combined with combinatorial barcoding and seq-OligoSTORM, CIMA enables reconstruction of genome architecture at single-allele resolution, from kilobases to whole chromosomes, revealing heterogeneity in chromatin spatial organization and morphology across single cells.

Biosketch:
Irene Farabella received her MSc in Medical Biotechnology from the University of Milano-Bicocca in 2008. She earned her PhD in Structural Biology in 2013 at the Institute of Structural and Molecular Biology (ISMB), UCL and Birkbeck College, London. She pursued her postdoctoral training at the Centre Nacional d’Anàlisi Genòmica–Centre de Regulació Genòmica (CNAG-CRG) in Barcelona. In September 2022, she established her independent lab at the IIT in Genova, bringing together her expertise in structural biology, computational modelling, and genome architecture to investigate the functional relationships between the components of the nucleus.

Decoding Genome Folding with Chromatin Tracing

October 30, 2026 14:00

our last paper

Extensive genomic diversity in Desulfovibrio reveals species-specific functional traits associated with disease.

Extensive genomic diversity in Desulfovibrio reveals species-specific functional traits associated with disease.

Zheng T, Keidel I, Omer H, Joshipura A, Cenier A, Atay E, Tan YH, Wetzel D, Gacesa R, Zhao S, Mengoni C, Jin S, Co K, Peters C, Segata N, Ley RE, Yabal M, Weersma RK, Haller D, Schirmer M
Oct , 2026

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