Author

Steven M. Mussmann

University of Arkansas at FayettevilleORCID 0000-0002-5237-5088Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2 Genetics· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Assay:whole-genome sequencing· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Research Focus:database / resource· 1 Assay:DNA methylation· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Marlis R. DouglasiD· 3 shared Michael Edward DouglasiD· 3 shared Tyler K. ChafiniD· 2 shared David D. Oakey· 1 shared

Activity by Year

2020-2024 · peak 2/yr

Co-Author Collaboration Network

4 top collaborators · 5 mutual co-author links

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3 shared papersBioinformatics

Marlis R. DouglasORCID

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3 papers

Recent·Most cited

autoStreamTree: Genomic variant data fitted to geospatial networks

Tyler K. Chafin, Steven M. Mussmann, Marlis R. Douglas, Michael Edward Douglas

autoStreamTree fits genomic variation to geospatial networks, demonstrating its use in analyzing genetic variation in Speckled Dace.

The Journal of Open Source Software · Mar 27, 2024Peer-reviewedBioinformatics

Defining Relictual Biodiversity: Conservation Units in Speckled Dace (Cyprinidae: Rhinichthys osculus) of the Greater Death Valley Ecosystem

Steven M. Mussmann, Marlis R. Douglas, David D. Oakey, Michael Edward Douglas

The paper uses genetic data to define conservation units in speckled dace, identifying four putative ESUs and highlighting hybridization and relic populations in the Death Valley ecosystem.

Ecology and Evolution · Sep 1, 2020Peer-reviewedGenetics

ADMIXPIPE: Population analyses in ADMIXTURE for non-model organisms

Steven M. Mussmann, Marlis R. Douglas, Tyler K. Chafin, Michael Edward Douglas

ADMIXPIPE processes large non-model organism datasets to infer population structure and optimal K-values for ADMIXTURE analysis.

BMC Bioinformatics · Jul 29, 2020Peer-reviewedBioinformatics