Author

Mohammad-Hadi Foroughmand-Araabi

Helmholtz Centre for Infection ResearchORCID 0000-0002-9976-1138Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:clustering· 1 Assay:scRNA-seq· 1 Research Focus:variant calling· 1 Organism:virus· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Alice Carolyn McHardyiD· 2 shared Sama GoliaeiiD· 2 shared Frank KlawonniD· 1 shared Gary RobertsoniD· 1 shared Katrina NorwoodiD· 1 shared Martin HölzeriD· 1 shared Susanne ReimeringiD· 1 shared Zhi-Luo DengiD· 1 shared

Activity by Year

2022-2025 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 28 mutual co-author links

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2 shared papersBioinformatics

Alice Carolyn McHardyORCID

Mutual co-authors in cluster

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2 papers

Recent·Most cited

In silico genomic surveillance by CoVerage predicts and characterizes SARS-CoV-2 Variants of Interest

Katrina Norwood, Zhi-Luo Deng, Susanne Reimering, Gary Robertson, Mohammad-Hadi Foroughmand-Araabi, Sama Goliaei, Martin Hölzer, Frank Klawonn, Alice Carolyn McHardy

CoVerage predicts and characterizes SARS-CoV-2 Variants of Interest by analyzing lineage frequency dynamics and antigenic changes from GISAID data.

Nature Communications · Jul 8, 2025Peer-reviewedBioinformatics

Scelestial: fast and accurate single-cell lineage tree inference based on a Steiner tree approximation algorithm

Mohammad-Hadi Foroughmand-Araabi, Sama Goliaei, Alice Carolyn McHardy

Scelestial infers single-cell lineage trees using a Steiner tree approximation algorithm, outperforming existing methods in accuracy and speed on simulated and real tumor data.

PLoS Computational Biology · Aug 11, 2022Peer-reviewedBioinformatics