Award Winners

Yannik Schälte, Helmholtz Zentrum München, Germany
Efficient Exact Inference for Dynamical Systems with Noisy Measurements using Sequential Approximate Bayesian Computation

Aya Narunsky, Yale University, United States
How proteins evolved to recognize an ancient nucleotide?

Benjamin Meckiff, La Jolla Institute for Immunology, United States
Single-cell transcriptomic analysis of SARS-CoV-2 reactive CD4+ T cells

Nathan Lawlor, The Jackson Laboratory, United States
Dissecting the heterogeneity of protein and transcriptional responses in human blood derived immune cells after T- and monocyte-specific activation

Sd Lam, Universiti Kebangsaan, Malaysia
SARS-CoV-2 spike protein predicted to bind strongly to host receptor protein orthologues from mammals, but not fish, birds or reptiles

Katrin Schöning-Stierand, Universität Hamburg - Center for Bioinformatics (ZBH), Germany

Runar Reve, King Abdullah University Of Science and Technology, Saudi Arabia
Applying GWAS on UK Biobank by using enhanced phenotype information based on Ontology-Wide Association Study

Toshiyuki T. Yokoyama, The University of Tokyo, Japan
Simon Heumos, Quantitative Biology Center (QBiC) Tübingen, University of Tübingen, Germany
Semantic Variation Graphs: Ontologies for Pangenome Graphs

Kari Lavikka, University of Helsinki, Finland
Grammar-Based Interactive Genome Visualization

Cory Gardner, Saint Louis University, United States
Metagenomic Data Analysis with Probability-Based Reduced Dataset Representation

Carlos Loucera, Clinical Bioinformatics Area (FPS), Spain
Towards a metagenomics interpretable model for understanding the transition from adenoma to colorectal cancer

Maria Peña-Chilet, CIBERER, Spain
Mechanistic models of CMap drug perturbation functional profiles

Matthew The, KTH Stockholm, Sweden
Focus on the spectra that matter by clustering of quantification data in shotgun proteomics

Kai Dührkop, Friedrich-Schiller-University Jena, Germany
Classes for the masses: Systematic classification of unknowns using fragmentation spectra

Steven Eschrich, H. Lee Moffitt Cancer Center and Research Institute, United States
Artificial Intelligence-Based TMT Experiment Planning Tool

Joe Wandy, University of Glasgow, United Kingdom
Advancing fragmentation strategies development in LC-MS metabolomics

Avital Sharir-Ivry, McGill University, Israel
On quantifying evolutionary importance of protein sites: A tale of two measures

Linda K. Sundermann, University of Toronto, Canada
Reconstructing Tumor Evolutionary Histories and Clone Trees in Polynomial-time with SubMARine

Xuecong Fu, Carnegie Mellon University, United States
Joint clustering of single cell sequencing and fluorescent in situ hybridization data to infer tumor copy number phylogenies

Karn Jongnarangsin, Michigan State University, United States
A Pangenome and Comparative Pathogenomics Workflow for Bacterial Pathogens

Gurmeet Kaur, NCBI, NIH, United States
Highly-regulated and diverse NTP-based biological conflict systems with implications for emergence of multicellularity

Samuel Chen, Michigan State University, United States
A Computational Molecular Evolutionary Approach to Characterize Bacterial Proteins

Robin Aguilar, University of Washington Department of Genome Sciences, United States
Tigerfish: A Software Tool to Design Genome-Scale Oligonucleotide Hybridization Probes to Visualize Satellite DNA

Ying Chen, Genome Institute of Singapore, Singapore
Reference-guided transcript discovery and quantification for long read RNA-Seq data

Torsten Gross, IRI Life Sciences, Humboldt University, Berlin, Germany Identifiability and experimental design in perturbation studies

Ina Maria Deutschmann, Institute of Marine Sciences (ICM-CSIC), Spain
Dynamic Microbial Association Networks in the Ocean

Chaitra Sarathy, Maastricht University, Netherlands
Identifying characteristic features of metabolic states using Genome-Scale Metabolic Models


Narasimhan Balakrishnan, Northwestern University, United States Model reduction and optimal control for multicellular biological oscillator systems

Aurelien Pelissier, IBM Research, Switzerland Computational model reveals a stochastic mechanism behind germinal center clonal bursts

Ahmed Metwally, Stanford University, United States
Longitudinal multi-omics profiling reveals two biological seasonal patterns in California


Jannis Born, ETH Zurich, Switzerland POCOVID-Net: Automatic Detection of COVID-19 From a New Lung Ultrasound Imaging Dataset (POCUS)

Yu-Chiao Chiu, University of Texas Health Science Center at San Antonio, United States A deep transfer learning model for extending in vitro CRISPR-Cas9 viability screens to tumors

Jonas Béal, Institut Curie, Paris, France
Emulating clinical trials for precision medicine with causal inference: application to PDX data


Jasleen Kaur Grewal, Canada's Michael Smith Genome Sciences Centre, Vancouver, British Columbia, Canada Single-sample pathway analysis using Pathway Impact Evaluation (PIE) of machine-learning based cancer classifiers

Murih Pusparum, Hasselt University & Flemish Institute for Technological Research (VITO), From Population to Subject-Specific Reference Intervals