Author

Shandukani Mulaudzi

Harvard UniversityORCID 0000-0003-3019-972XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Assay:whole-genome sequencing· 2 Organism:bacteria (other)· 1 Approach:benchmark study· 1 Research Focus:benchmarking· 1 Research Focus:database / resource· 1 Approach:experimental assay· 1 Organism:mouse· 1

Frequent Co-Authors

Jon Mitchell AmbleriD· 1 shared Maha R FarhatiD· 1 shared Maximillian G. MariniD· 1 shared Nicola MulderiD· 1 shared Sanjana G. KulkarniiD· 1 shared

Activity by Year

2019-2026 · peak 1/yr

Co-Author Collaboration Network

5 top collaborators · 4 mutual co-author links

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1 shared paperBioinformatics

Jon Mitchell AmblerORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintJun 1, 2026

Benchmarking within-sample minority variant detection with short-read sequencing in M. tuberculosis

Shandukani Mulaudzi, Sanjana G. Kulkarni, Maximillian G. Marin, Maha R Farhat

This study benchmarks seven variant callers for detecting low-frequency variants in M. tuberculosis using simulated short-read data, finding FreeBayes performs best and introducing an error model to filter false positives.

DOI 10.64898/2026.02.13.704885

mousewhole-genome sequencing

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BioinformaticsBMC BioinformaticsPeer-reviewedOct 25, 2019

GenGraph: a python module for the simple generation and manipulation of genome graphs.

Jon Mitchell Ambler, Shandukani Mulaudzi, Nicola Mulder

GenGraph generates genome graphs using multiple sequence alignments and provides tools for manipulation in Python, enabling flexible genomic analysis.

8 citations

bacteria (other)whole-genome sequencing

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