Author

Darlan Conterno Minussi

The University of Texas MD Anderson Cancer CenterORCID 0000-0001-8856-4625Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2 Genomics· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Approach:statistical model· 3 Research Focus:clustering· 2 Research Focus:differential expression· 2 Research Focus:gene regulatory network inference· 2 Assay:scRNA-seq· 2 Assay:whole-genome sequencing· 2 Research Focus:benchmarking· 1

Frequent Co-Authors

Nicholas E. NaviniD· 3 shared Aislyn P. SchalckiD· 1 shared Alejandro ContrerasiD· 1 shared Alexander DavisiD· 1 shared Bora LimiD· 1 shared Charles SwantoniD· 1 shared Cheng PengiD· 1 shared David Hui· 1 shared

Activity by Year

2021-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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3 shared papersBioinformatics

Nicholas E. NavinORCID

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3 papers

Recent·Most cited

BioinformaticsGenome biologyPeer-reviewedNov 14, 2022

MEDICC2: whole-genome doubling aware copy-number phylogenies for cancer evolution

Tom L. Kaufmann, Marina Petković, Thomas B.K. Watkins…·Roland F. Schwarz

MEDICC2 infers cancer phylogenies from copy-number data, accounting for whole-genome doubling and parallel evolution, and performs well on simulated and real datasets.

123 citationstop 1%

humanwhole-genome sequencing

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GenomicsbioRxivPreprintMar 9, 2022

Resolving clonal substructure from single cell genomic data using CopyKit

Darlan Conterno Minussi, Emi Sei, Junke Wang…·Nicholas E. Navin

CopyKit is a computational tool that resolves clonal substructure and reconstructs genetic lineages in tumors using single cell copy number data.

16 citations

humanscATAC-seq

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BioinformaticsGenome biologyPeer-reviewedFeb 23, 2021

Single-cell copy number lineage tracing enabling gene discovery

Fang Wang, Qihan Wang, Vakul Mohanty…·Ken Chen

The paper introduces MEDALT and LSA to reconstruct copy number lineage trees from single-cell data and identify fitness-associated genes, showing improved accuracy over phylogenetics methods in cancer datasets.

40 citations

humanscRNA-seq

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