Author

Julia Anstett

University of British ColumbiaORCID 0000-0002-0789-871XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2 Evolutionary Biology· 2

Signature Assays, Organisms & Methods

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Organism:plant (other)· 2 Approach:statistical model· 2 Assay:whole-genome sequencing· 2 Research Focus:chromatin & epigenetic regulation· 1 Research Focus:database / resource· 1 Research Focus:development & morphogenesis· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Aditi N. NallaniD· 2 shared Daniel N. AnstettiD· 2 shared Ryan J. McLaughliniD· 2 shared Steven HallamiD· 2 shared Abdur Rahman M. A. BasheriD· 1 shared Acer VanWallendaeliD· 1 shared Adam C. SchneideriD· 1 shared Adrián Lázaro‐LoboiD· 1 shared

Activity by Year

2020-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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2 shared papersBioinformatics

Aditi N. NallanORCID

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Author profile →

4 papers

Recent·Most cited

Evolutionary rescue during extreme drought

Daniel N. Anstett, Julia Anstett, Seema N. Sheth, Dylan R. Moxley, Haley A. Branch, Mojtaba Jahani, Kaichi Huang, Marco Todesco, Rebecca Jordan, José M. Lázaro-Guevara, Loren H. Rieseberg, Amy Lauren Angert

This study shows evolutionary rescue in wild populations during extreme drought by linking genetic variation to population recovery.

Science · Mar 12, 2026Peer-reviewedEvolutionary Biology

Structural variants underlie parallel adaptation following global invasion

Paul Battlay, Brandon Thomas Hendrickson, Jonas I Mendez-Reneau, James S. Santangelo, Lucas J. Albano, Jonathan Wilson, Aude E. Caizergues, Nevada King, Adriana Puentes, Amelia Tudoran, Cyrille Violle, François Vasseur, Courtney M. Patterson, Michael Joshua Foster, Caitlyn Stamps, , Nicholas J. Kooyers

This study identifies large structural variants as drivers of parallel adaptation in Trifolium repens during global invasion.

Nature Ecology & Evolution · Jul 8, 2025Peer-reviewedEvolutionary Biology

MetaPathways v3.5: Modularity and Scalability Improvements for Pathway Inference from Environmental Genomes

Ryan J. McLaughlin, Tony X. Liu, Tomer Altman, Aditi N. Nallan, Aria S Hahn, Julia Anstett, Connor Morgan‐Lang, Kishori M. Konwar, Steven Hallam

The paper improves the MO_SCPLOWETAC_SCPLOWPO_SCPLOWATHWAYSC_SCPLOW pipeline for pathway inference from environmental genomes, enhancing usability and performance through code refactoring and algorithm updates.

bioRxiv · Jun 4, 2024 · PreprintBioinformatics

leADS: improved metabolic pathway inference based on active dataset subsampling

Abdur Rahman M. A. Basher, Aditi N. Nallan, Ryan J. McLaughlin, Julia Anstett, Steven Hallam

leADS improves metabolic pathway inference by using active dataset subsampling to address class imbalance in training data.

bioRxiv · Sep 14, 2020 · PreprintBioinformatics