Author

Isai Salas-González

Universidad Nacional Autónoma de MéxicoORCID 0000-0002-0347-5058Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genomics· 2 Microbiology· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 Approach:statistical model· 2 Research Focus:variant calling· 2 Assay:whole-genome sequencing· 2 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1 Research Focus:host-pathogen & immune response· 1

Frequent Co-Authors

Victor WeigmaniD· 2 shared Aaron M. WengeriD· 1 shared Aaron W. AdamsoniD· 1 shared Alex R. HastieiD· 1 shared Alexander A Gooden· 1 shared Alison RojasiD· 1 shared Andrew Scott LissiD· 1 shared Ângela Moreno· 1 shared

Activity by Year

2022-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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2 shared papersGenomics

Victor WeigmanORCID

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3 papers

Recent·Most cited

Persistent legacy effects on soil microbiota facilitate plant adaptive responses to drought

Nichole A. Ginnan, Valéria Custódio, David Gopaulchan, Natalie Ford, Isai Salas-González, Dylan H. Jones, Darren M. Wells, Ângela Moreno, Gabriel Castrillo, Maggie R. Wagner

The paper shows that soil microbiota legacy effects from precipitation influence plant drought responses, benefiting native grasses but not maize.

Nature Microbiology · Oct 30, 2025Peer-reviewedMicrobiology

Development and extensive sequencing of a broadly-consented Genome in a Bottle matched tumor-normal pair

Jennifer McDaniel, Vaidehi Patel, Nathan D. Olson, Hua‐Jun He, Zhiyong He, Kenneth D. Cole, Alexander A Gooden, Anthony D. Schmitt, Kristin L Sikkink, Fritz Joachim Sedlazeck, HarshaVardhan Doddapaneni, Shalini N. Jhangiani, Donna Marie Muzny, Marie‐Claude Gingras, Heer Hemant Mehta, , Justin M. Zook

The paper describes a comprehensive genomic dataset from a tumor-normal pair with broad consent, generated using multiple sequencing technologies for benchmarking somatic variant detection.

Scientific Data · Jul 16, 2025Peer-reviewedGenomics

Unifying comprehensive genomics and transcriptomics in individual cells to illuminate oncogenic and drug resistance mechanisms

Jeffrey R. Marks, Jon S. Zawistowski, Isai Salas-González, Tia A. Tate, Tatiana V. Morozova, Jeff G. Blackinton, Durga M. Arvapalli, Swetha Devi Velivela, G. Harton, Charles Gawad, Victor Weigman, E. Shelley Hwang, Jay A. A. West

This study uses ResolveOME to analyze genomic and transcriptomic data in individual cells, revealing mutations and gene expression changes linked to drug resistance and oncogenic mechanisms.

bioRxiv · Apr 29, 2022 · PreprintGenomics