Author

Amanda N. Shelton

Carnegie Institution for ScienceORCID 0000-0001-9296-8331Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Microbiology· 1

Signature Assays, Organisms & Methods

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Assay:metagenomics· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Approach:experimental assay· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1

Frequent Co-Authors

Arthur Robert GrossmaniD· 1 shared Carlos RojasiD· 1 shared Devaki BhayaiD· 1 shared Feiqiao Brian YuiD· 1 shared Jorjeta G. Jetcheva· 1 shared Mary Markart· 1 shared Sophia Yuan· 1 shared Stephanie Chau· 1 shared

Activity by Year

2024-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperMicrobiology

Arthur Robert GrossmanORCID

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2 papers

Recent·Most cited

Abundant and active community members respond to the diel cycle in hot spring phototrophic mats

Amanda N. Shelton, Feiqiao Brian Yu, Arthur Robert Grossman, Devaki Bhaya

The paper analyzes metagenomic and metatranscriptomic data from hot spring microbial mats to show diel gene expression patterns in key taxa.

The ISME Journal · Jan 1, 2025Peer-reviewedMicrobiology

Comparison between ribosomal assembly and machine learning tools for microbial identification of organisms with different characteristics

Stephanie Chau, Carlos Rojas, Jorjeta G. Jetcheva, Mary Markart, Sudha Vijayakumar, Sophia Yuan, Vincent Stowbunenko, Amanda N. Shelton, William Andreopoulos

The paper compares metagenomic assembly tools and machine learning models for organism identification, finding that ensembling improves performance for organisms with specific characteristics.

Current Bioinformatics · Jul 29, 2024Peer-reviewedBioinformatics