Source: MPI

Dr. Annalisa Marsico
Research Group Head

Building/Room: 58a / 119

Google Scholar Profile

ResearchGate Profile


Dr. Annalisa Marsico did her Diploma in Physics at the University of Bari, Italy (2003) and also obtained a master in Bioinformatics at the University of Siena (2005). At the end of 2005 she moved to Germany and obtained her PhD in Bioinformatics at the Technical University (TU) of Dresden as part of the International IMPRS PhD graduate school of the Max Planck Institute for Molecular Cell Biology Dresden (2009). After four years postdoc (2009-20013) at the Max Planck Institute for Molecular Genetics (MPIMG) Berlin (Vingron’s Department, Computational Biology), where Dr. Marsico was involved in Machine Learning and high-throughput genomic data analysis projects, in 2014 she took up a position as assistant professor at the Freie Universität Berlin (Faculty of mathematics and Computer Science) and at the same time led the RNA Bioinformatics junior group at MPIMG. In 2017 she successfully passed her intermediate evaluation as junior professor corresponding to the German habilitation towards full professorship. Since March 2019 Dr Marsico moved to Munich and is the group leader of the Computational RNA Biology team at the Institute of Computational Biology (Helmholtz Zentrum München).

In the past four years Dr. Marsico's group aimed at unraveling the mechanisms of RNA-mediated gene regulation in health and diseases by integrating heterogeneous omics data into supervised and unsupervised predictive models. The research of the group will further expand the development of machine learning methods to study post-transcriptional regulatory systems on a genome-wide scale, with an enhanced focus on systems biomedicine and clinical applications.


Selected Publications:

Schulte-Sasse R., Budach S., Hnisz D., Marsico A. Integration of multiomics data with graph convolutional networks to identify new cancer genes and their associated molecular mechanisms. Nature Machine Intelligence 3 (6), 513-526. 2021. 

Sousa L.*, Jonkers I.*, Syx L., Dunkel I., Chaumell J., Picard C., Foret B., Chen CJ,  Lis JT*, Heard E.*, Schulz EG*, Marsico A*. Kinetics of Xist-induced gene silencing can be predicted from combinations of epigenetic and genomic features. Genome research. 2019. * equal contributions

Ntini E, Louloupi A, Liz J, Muino JM, Marsico A, Ørom UAV. Long ncRNA A-ROD activates its target gene DKK1 at its release from chromatin. Nat Commun. 2018 Apr 24;9(1):1636.

Budach S, Marsico A. pysster: classification of biological sequences by learning sequence and structure motifs with convolutional neural networks. Bioinformatics. 2018 Sep 1;34(17):3035-3037.

Krakau S, Richard H, Marsico A. PureCLIP: capturing target-specific protein-RNA interaction footprints from single-nucleotide CLIP-seq data. Genome Biol. 2017 Dec 28;18(1):240.

Heller D, Krestel R, Ohler U, Vingron M, Marsico A. ssHMM: extracting intuitive sequence-structure motifs from high-throughput RNA-binding protein data. Nucleic Acids Res. 2017 Nov 2;45(19):11004-11018.

Conrad T*, Marsico A*, Gehre M, Orom UA. Microprocessor activity controls differential miRNA biogenesis In Vivo. Cell Rep. 2014 Oct 23;9(2):542-54. * Equal contributions

Marsico A, Huska MR, Lasserre J, Hu H, Vucicevic D, Musahl A, Orom U, Vingron M. PROmiRNA: a new miRNA promoter recognition method uncovers the complex regulation of intronic miRNAs. Genome Biol. 2013 Aug 16;14(8):R84.