Author

Susana Posada-Céspedes

SIB Swiss Institute of BioinformaticsORCID 0000-0002-7459-8186Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Genomics· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:variant calling· 2 Assay:whole-genome sequencing· 2 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1 Organism:human· 1 Organism:virus· 1

Frequent Co-Authors

Ivan TopolskyiD· 2 shared Kim Philipp JablonskiiD· 2 shared Niko BeerenwinkeliD· 2 shared Aashil A. BataviaiD· 1 shared Adrienn Volak· 1 shared Álvaro Herrero-NavarroiD· 1 shared Arthur DondiiD· 1 shared Botond RoskaiD· 1 shared

Activity by Year

2020-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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2 shared papersBioinformatics

Ivan TopolskyORCID

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Author profile →

3 papers

Recent·Most cited

Cell type-focused compound screen in human organoids reveals CK1 and MAPK11 inhibition protects cone photoreceptors from death

Stefan Erich Spirig, Álvaro Herrero-Navarro, Larissa Utz, Valeria J. Arteaga-Moreta, Zoltán Raics, Susana Posada-Céspedes, Stéphanie Chreng, Olaf Galuba, Inga Galuba, Isabelle Claerr, Steffen Renner, Miklos Boldogkoi, Verónica Moreno‐Juan, P. Timo Kleindienst, Adrienn Volak, , Botond Roska

The paper screens 2,707 compounds in human retinal organoids to identify those that protect or damage cone photoreceptors, finding CK1 and MAPK11 inhibitors as protective.

Neuron · Mar 30, 2026Peer-reviewedNeuroscience

V-pipe: a computational pipeline for assessing viral genetic diversity from high-throughput sequencing data

Susana Posada-Céspedes, David Seifert, Ivan Topolsky, Kim Philipp Jablonski, Karin Jutta Metzner, Niko Beerenwinkel

V-pipe is a computational pipeline that assesses viral genetic diversity from high-throughput sequencing data by integrating quality control, alignment, mutation calling, and haplotype inference.

Bioinformatics · Jan 8, 2021Peer-reviewedBioinformatics

Within-patient genetic diversity of SARS-CoV-2

Jack Kuipers, Aashil A. Batavia, Kim Philipp Jablonski, Fritz Bayer, Nico Borgsmüller, Arthur Dondi, Monica-Andreea Baciu-Drăgan, Pedro Ferreira, Katharina Jahn, Lisa Lamberti, Martin Pirkl, Susana Posada-Céspedes, Ivan Topolsky, Ina Nissen, Natascha Santacroce, , Niko Beerenwinkel

The paper examines SARS-CoV-2 genetic diversity within individual patients, finding that a small number of patients carry most of the diversity and that older patients tend to have more diverse viral variants.

bioRxiv · Oct 12, 2020 · PreprintGenomics