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GenomeDataLab.org
  • // home
  • / research interests
    • [1] DNA repair genomics
    • [2] mRNA quality control
    • [3] cancer evolution
    • [4] AI for DNA function
  • / the team
    • students
    • postdocs
    • PI Supek
  • / projects
    • ERC StG HYPER-INSIGHT
    • Horizon 2020 DECIDER
    • MICINN REPAIRSCAPE
    • CaixaResearch POTENT-IMMUNO
    • ERC CoG STRUCTOMATIC
  • / our publications
    • [1] DNA repair genomics
    • [2] mRNA quality control
    • [3a] cancer driver genes
    • [3b] mutational signatures
    • [4] AI for DNA function
    • Preprints
  • / code & data
    • / code
    • / data
  • / join us
GenomeDataLab.org
  • // home
  • / research interests
    • [1] DNA repair genomics
    • [2] mRNA quality control
    • [3] cancer evolution
    • [4] AI for DNA function
  • / the team
    • students
    • postdocs
    • PI Supek
  • / projects
    • ERC StG HYPER-INSIGHT
    • Horizon 2020 DECIDER
    • MICINN REPAIRSCAPE
    • CaixaResearch POTENT-IMMUNO
    • ERC CoG STRUCTOMATIC
  • / our publications
    • [1] DNA repair genomics
    • [2] mRNA quality control
    • [3a] cancer driver genes
    • [3b] mutational signatures
    • [4] AI for DNA function
    • Preprints
  • / code & data
    • / code
    • / data
  • / join us
  • More
    • // home
    • / research interests
      • [1] DNA repair genomics
      • [2] mRNA quality control
      • [3] cancer evolution
      • [4] AI for DNA function
    • / the team
      • students
      • postdocs
      • PI Supek
    • / projects
      • ERC StG HYPER-INSIGHT
      • Horizon 2020 DECIDER
      • MICINN REPAIRSCAPE
      • CaixaResearch POTENT-IMMUNO
      • ERC CoG STRUCTOMATIC
    • / our publications
      • [1] DNA repair genomics
      • [2] mRNA quality control
      • [3a] cancer driver genes
      • [3b] mutational signatures
      • [4] AI for DNA function
      • Preprints
    • / code & data
      • / code
      • / data
    • / join us

🤖🧬Genome Data Science laboratory


   // 🇩🇰 /  University of Copenhagen  /  Faculty of Health and Medical Sciences  /  Biotech Research & Innovation Centre  /  Supek group

// 🇪🇸  /   BIST  /  Institute for Research in Biomedicine (IRB Barcelona)  /  Cancer Science programme  /  @GenomeDataLab

[1] genomics of DNA repair failures
[2] transcriptome quality control
[3] predicting cancer evolution
[4] automated gene function inference

In the GenomeDataLab, we use statistical genomics and machine learning to study quality control that protects the integrity of information stored in the DNA and mRNA of the cell. We study how DNA repair and chromatin organization protect the human genome  from mutations, and how QC mechanisms operate on the transcriptome to prevent expression of mutated mRNAs. 

We perform large-scale bioinformatic studies of multi-omic data from human tumors (somatic mutations, and transcriptomes), human populations (germline variation) and metagenomes (incl. human microbiomes).

We study mechanisms for maintaining genome stability in human cells via statistical analyses of mutation patterns in cancer, which often result from deficient DNA repair [ 1 ].  Next, we are interested in how mRNA synthesis and turnover pathways shape genomes and transcriptomes in health and disease [ 2 ]. Finally, we combine experimental work and genomics to scan cancer genomes for drivers and genetic interactions to predict tumor evolution and identify novel synthetic lethalities [ 3 ].  More generally, we study novel approaches using artificial intelligence (AI) to infer DNA functionality from massive genomic data [ 4 ].

👉read more about our research interests >>>  

Some recent research 📜 from the GenomeDataLab:

Salvadores & Supek (2024) Nature Cancer
Mas-Ponte & Supek (2024) Nucleic Acids Research
Besedina & Supek (2024) Nature Comms

read more about our work on:  [1] genomic signatures of DNA repair failures;  [2] transcriptome quality control via NMD;  [3] predicting driver genes and cancer evolution; and [4] AI methods for DNA and gene function prediction.

Levatić, Salvadores, Fuster & Supek (2022) Nature Comms
Fito-Lopez, Salvadores, Alvarez & Supek (2023) BMC Biology
Mas-Ponte & Supek (2020) Nature Genetics

Meet the GenomeDataLab team:

PI: Fran Supek
(1) UCPH Professor & BRIC GL
(2) IRB group leader

more info on
team members:

👶students
🕺postdocs
🧛PI

on Twitter/X:
@genomeDataLab
on bluesky: @genomeDataLab

GenomeDataLab ❤️ collaborations:

  • Characterization of Somatic Mutations in Human tRNA Genes Reveals Tumor-Specific Mutational Loads, and the Generation of tRNA Variants that Alter the Genetic Code. 

  • M Murillo-Recio, M Salvadores [...], F Supek*, Ll Ribas* (2025) Genome Res (in press).

(w/ Lluis Ribas group at IRB Barcelona)

  • Dual inhibition of the nonsense mediated mRNA decay enhances tumour immunogenicity, drives immunoediting, and potentiates checkpoint blockade

  • I Zadra*, D Orsolic*, D Kounis, [...] F Supek*, A Janic* (2025) bioRxiv.

(w/ Ana Janic group at Uni Pompeu Fabra)

  • Genome-scale quantification and prediction of pathogenic stop codon readthrough by small molecules. 

  • I Toledano, F Supek*, B Lehner* (2024)  Nature Genetics.

(w/ Ben Lehner group, Sanger Institute/CRG)

  • Loss of the abasic site sensor HMCES is synthetic lethal with the activity of the APOBEC3A cytosine deaminase in cancer cells.

  • J Biayna, I Garcia-Cao, [...]
    F Supek*, T Stracker* (2021)
    PLOS Biology. 

(w/ Travis Stracker group, currently at NIH)

+ other great ongoing collaborations 🤝 

  • Roger Gomis group at IRB Barcelona, Spain.

  • Alexandra Avgustinova group at IRB Barcelona, Spain.

  • Irene Franco group at San Raffaelle Hospital, Milan, Italy.

  • Benedetta Bolognesi group at IBEC, Barcelona, Spain.

... interested in joint work?  Drop us a note (Fran's contact here)

We gratefully acknowledge our funders:

European Research Council ERC Consolidator Grant #101088342 STRUCTOMATIC "Mutational processes and impact of structural variants in somatic cells" 

CaixaResearch foundation "POTENT-IMMUNO" -Boosting immunotherapy by genomic prediction and NMD inhibitors.

EU H-2020 "DECIDER" Clinical Decision via Integrating Multiple Data Levels to Overcome Chemotherapy Resistance in High-Grade Serous Ovarian Cancer

Novo Nordisk Foundation Starting Package Grant 

We are further funded by the Horizon EU project "LUCIA" and the Danish Cancer Society.   More information on projects >>>

We are a part of the 🧱Biotech Research & Innovation Centre (BRIC) at University of Copenhagen; secondary affiliation of the lab is the 🏖️Institute for Research in Biomedicine (IRB Barcelona):

Other affiliations:

PI is tenured (on leave) via the ICREA Research Professor program of the Catalan government.

Fran Supek is a member of the EMBO Young Investigator programme.

"Prediction is very difficult, especially about the future." -- Niels Bohr.

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