Author

Lauren J. McIver

Broad InstituteORCID 0000-0002-2199-4310Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 3 Approach:statistical model· 3 Assay:metagenomics· 2 Organism:bacteria (other)· 1 Research Focus:cell-cell communication· 1 Research Focus:database / resource· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Curtis HuttenhoweriD· 3 shared Eric A. FranzosaiD· 3 shared Francesco AsnicariD· 2 shared Kelsey N. ThompsoniD· 2 shared Michal PunčochářiD· 2 shared Nicola SegataiD· 2 shared Aaron M. WalshiD· 1 shared Adrian TettiD· 1 shared

Activity by Year

2022-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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3 shared papersBioinformatics

Curtis HuttenhowerORCID

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Author profile →

3 papers

Recent·Most cited

Evaluating metagenomic analyses for undercharacterized environments: what's needed to light up the microbial dark matter?

William A. Nickols, Lauren J. McIver, Aaron M. Walsh, Yancong Zhang, Jacob T. Nearing, Francesco Asnicar, Michal Punčochář, Nicola Segata, Long H. Nguyen, Erica Marie Hartmann, Eric A. Franzosa, Curtis Huttenhower, Kelsey N. Thompson

The paper evaluates metagenomic analysis methods in simulated and real environmental data, finding that newer marker-based methods perform better at lower taxonomic levels.

bioRxiv · Nov 8, 2024 · PreprintMicrobiology

Extending and improving metagenomic taxonomic profiling with uncharacterized species with MetaPhlAn 4

Aitor Blanco‐Míguez, Francesco Beghini, Fabio Cumbo, Lauren J. McIver, Kelsey N. Thompson, Moreno Zolfo, Paolo Manghi, Léonard Dubois, Kun D. Huang, Andrew Maltez Thomas, Gianmarco Piccinno, Elisa Piperni, Michal Punčochář, Mireia Valles‐Colomer, Adrian Tett, , Nicola Segata

Marker genes for 26,970 species-level genome bins, 4,992 defined only by metagenome-assembled genomes, let MetaPhlAn 4 quantify uncharacterized species and beat MetaPhlAn 3, mOTUs and Bracken on synthetic benchmarks.

bioRxiv · Aug 22, 2022 · PreprintBioinformatics✦ In-depth digest

High-sensitivity pattern discovery in large, paired multi-omic datasets

Andrew R. Ghazi, Kathleen Sucipto, Ali Rahnavard, Eric A. Franzosa, Lauren J. McIver, Jason Lloyd‐Price, Emma Schwager, George Weingart, Yo Sup Moon, Xochitl C. Morgan, Levi Waldron, Curtis Huttenhower

This paper introduces HAllA, a method for discovering associations in multi-omic datasets, showing it outperforms existing approaches and identifies new biological relationships.

Bioinformatics · Apr 26, 2022Peer-reviewedBioinformatics