Author

Tavish Eenjes

Australian National University

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Organism:fungi (other)· 2 Assay:long-read sequencing· 2 Assay:metagenomics· 2 Research Focus:cell type annotation· 1 Research Focus:database / resource· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1

Frequent Co-Authors

Benjamin SchwessingeriD· 2 shared Eric A. StoneiD· 2 shared John Paul RathjeniD· 2 shared László IrinyiiD· 2 shared Minh Thuy Vi Hoang· 2 shared Wieland MeyeriD· 2 shared Yiheng HuiD· 2 shared Abigail GraetziD· 1 shared

Activity by Year

2021-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 43 mutual co-author links

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2 shared papersBioinformatics

Benjamin SchwessingerORCID

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2 papers

Recent·Most cited

Inferring species compositions of complex fungal communities from long- and short-read sequence data

Yiheng Hu, László Irinyi, Minh Thuy Vi Hoang, Tavish Eenjes, Abigail Graetz, Eric A. Stone, Wieland Meyer, Benjamin Schwessinger, John Paul Rathjen

The paper compares methods for identifying fungal species from sequencing data and finds that aligning sequences to a fungi-specific database with coverage cutoffs improves accuracy.

mBio · Apr 11, 2022Peer-reviewedBioinformatics

Linked machine learning classifiers improve species classification of fungi when using error-prone long-reads on extended metabarcodes

Tavish Eenjes, Yiheng Hu, László Irinyi, Minh Thuy Vi Hoang, Leon M. A. Smith, Celeste C. Linde, Andrew Milgate, Wieland Meyer, Eric A. Stone, John Paul Rathjen, Benjamin S. Mashford, Benjamin Schwessinger

This paper demonstrates that linked machine learning classifiers improve species classification of fungi using error-prone long-reads on extended metabarcodes, achieving high recall and low false positives.

bioRxiv · May 1, 2021 · PreprintBioinformatics