Author

Izaak Coleman

Columbia University Irving Medical CenterORCID 0000-0003-4697-6079Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 3

Signature Assays, Organisms & Methods

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Assay:metagenomics· 3 Research Focus:benchmarking· 2 Organism:human· 2 Approach:benchmark study· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Approach:statistical model· 1

Frequent Co-Authors

Tal KoremiD· 3 shared Aya Brown KaviD· 2 shared Gordon QianiD· 2 shared Amanda SimkhovichiD· 1 shared Andrey ZaznaeviD· 1 shared Anne‐Catrin UhlemanniD· 1 shared Aviya LitmaniD· 1 shared Ayushi SharmaiD· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 38 mutual co-author links

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3 shared papersBioinformatics

Tal KoremORCID

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Author profile →

3 papers

Recent·Most cited

End-to-end evaluation of pipelines for metagenome-assembled genomes reveals hidden performance gaps

Izaak Coleman, Jiong Ma, Gordon Qian, Y. Jiang, Aya Brown Kav, Tal Korem

The paper evaluates MAG pipelines using MAG-E, revealing performance gaps in assembly, binning, and quality control for the human gut microbiome.

bioRxiv · Apr 9, 2026 · PreprintBioinformatics

Comparative metagenomics using pan-metagenomics graphs

Izaak Coleman, Natalya Mametyarova, Andrey Zaznaev, Peiwen Cai, Lisa X Yu, Yoli Meydan, Aviya Litman, Ayushi Sharma, Lily He, Amanda Simkhovich, Dwayne Seeram, Heekuk Park, Yael R. Nobel, Aya Brown Kav, Itsik Pe’er, , Tal Korem

This paper introduces copangraph, a framework for comparative metagenomic analysis using sequence graphs, showing improved accuracy and computational efficiency in capturing genomic variation across microbial communities.

bioRxiv · Nov 24, 2025 · PreprintBioinformatics

Metagenomic coverage bias at transcription start sites is correlated with gene expression

Gordon Qian, Izaak Coleman, Tal Korem, Joshua W. K. Ho

The paper identifies coverage bias at transcription start sites in metagenomic data that correlates with gene expression, independent of GC bias and sequencing artifacts.

bioRxiv · May 9, 2024 · PreprintBioinformatics