Author

M. D. Sanderford

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Evolutionary Biology· 2

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Research Focus:phylogenetics / evolution· 1 Research Focus:polygenic risk· 1 Research Focus:variant calling· 1 Research Focus:variant effect prediction· 1 Organism:virus· 1

Frequent Co-Authors

S. Kumar· 2 shared A. Platt· 1 shared B. S. Gilksberg· 1 shared J. T. Dudley· 1 shared K. Tamura· 1 shared K. Xu· 1 shared L. B. Scheinfeldt· 1 shared M. Caraballo· 1 shared

Activity by Year

2018-2020 · peak 1/yr

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10 top collaborators · 31 mutual co-author links

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2 shared papersEvolutionary Biology

S. Kumar

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2 papers

Recent·Most cited

Evolutionary BiologybioRxivSep 24, 2020

An evolutionary portrait of the progenitor SARS-CoV-2 and its dominant offshoots in COVID-19 pandemic

S. Kumar, Q. Tao, S. Weaver…·S. Miura

The paper reconstructs the progenitor SARS-CoV-2 genome and traces its evolution and spread globally, showing multiple dominant strains and lineage replacements in different regions.

DOI 10.1093/molbev/msab118

virusstatistical model

𝕏 PostBluesky

Evolutionary BiologybioRxivMar 14, 2018

Adaptive landscape of protein variation in human exomes

R. Patel, M. D. Sanderford, T. R. Lanham…·S. Kumar

The paper develops an Evolutionary Probability Approach (EPA) to identify candidate adaptive polymorphisms in human exomes, finding thousands of missense variants likely under beneficial selection.

DOI 10.1093/molbev/msy107

humanwhole-exome sequencing

𝕏 PostBluesky