Author

Minindu Weerakoon

Auburn UniversityORCID 0009-0007-0237-2376Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 3 Genomics· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Assay:scRNA-seq· 2 Research Focus:batch correction / integration· 1 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:dimensionality reduction· 1 Organism:human· 1

Frequent Co-Authors

Haynes HeatoniD· 4 shared Reza BehboudiiD· 2 shared Christopher T. SaundersiD· 1 shared Collin Ward· 1 shared Emily MitchelliD· 1 shared Hai VuiD· 1 shared Nathan Hunter· 1 shared Sami B. KanaaniD· 1 shared

Activity by Year

2025-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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4 shared papersBioinformatics

Haynes HeatonORCID

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Author profile →

4 papers

Recent·Most cited

Cellector: A tool to detect foreign genotype cells in scRNAseq data with applications in leukemia and microchimerism.

Haynes Heaton, Reza Behboudi, Collin Ward, Minindu Weerakoon, Sami B. Kanaan, Skylar Reichle, Nathan Hunter, Scott N. Furlan

Cellector detects rare foreign genotype cells in scRNAseq data, showing accuracy down to 0.05% microchimeric cells.

bioRxiv · Mar 30, 2026 · PreprintBioinformatics

Souporcell3: Robust Demultiplexing for High-Donor Single-Cell RNA-seq Datasets

Minindu Weerakoon, Hai Vu, Reza Behboudi, Haynes Heaton

Souporcell3 improves demultiplexing for high-donor scRNA-seq datasets by using K-Harmonic Means and iterative refinement, achieving higher accuracy than previous methods.

Bioinformatics · Feb 28, 2026Peer-reviewedBioinformatics

LCSKPOA: Enabling banded semi-global partial order alignments via efficient and accurate backbone generation through extended lcsk++

Minindu Weerakoon, Christopher T. Saunders, Haynes Heaton

The paper introduces an extended LCSk++ algorithm for graph-based alignment, improving memory and runtime efficiency for local and semi-global POA while maintaining alignment quality.

BMC Bioinformatics · Nov 25, 2025Peer-reviewedGenomics

TopoQual polishes circular consensus sequencing data and accurately predicts quality scores

Minindu Weerakoon, Sangjin Lee, Emily Mitchell, Haynes Heaton

TopoQual improves PacBio CCS reads by correcting errors and predicting more accurate quality scores, enabling reliable somatic variant calling.

BMC Bioinformatics · Jan 15, 2025Peer-reviewedBioinformatics