Author

Timothy M. Freeman

Genomics EnglandORCID 0000-0002-4497-681XUnclaimed ORCID profile · follow to get notified of new preprints

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Timothy M. Freeman1 paper

Biology Disciplines

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Bioinformatics· 1 Cancer Biology· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 Research Focus:variant calling· 2 Approach:deep learning· 1 Assay:long-read sequencing· 1 Approach:statistical model· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Adam P GiessiD· 1 shared Adrienne Margaret FlanaganiD· 1 shared Alistair G. RustiD· 1 shared Alona SosinskyiD· 1 shared Ângela AfonsoiD· 1 shared Carolin M. SaueriD· 1 shared Cláudia C. FariaiD· 1 shared David T. MilleriD· 1 shared

Activity by Year

2020-2025 · peak 1/yr

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10 top collaborators · 36 mutual co-author links

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1 shared paperCancer Biology

Adam P GiessORCID

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2 papers

Recent·Most cited

Cancer BiologyNature MethodsPeer-reviewedMay 28, 2025

SAVANA: reliable analysis of somatic structural variants and copy number aberrations in clinical samples using long-read sequencing

Hillary Elrick, Carolin M. Sauer, Jose Espejo Valle-Inclán…·Isidro Cortés‐Ciriano

SAVANA improves detection of somatic structural variants and copy number aberrations in cancer using long-read sequencing with higher sensitivity and specificity than existing tools.

43 citationstop 1%

humanlong-read sequencing

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BioinformaticsGenome ResearchPeer-reviewedMar 1, 2020

Genomic loci susceptible to systematic sequencing bias in clinical whole genomes

Timothy M. Freeman, Dennis Y.Q. Wang, Jason Harris

The paper identifies genomic loci with systematic sequencing bias in clinical whole genomes and proposes a statistical method to flag suspect variants for quality control.

12 citations

humanwhole-genome sequencing

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