Author

E. Saputra

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

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Research Focus:phylogenetics / evolution· 2 Approach:statistical model· 2 Assay:ChIP-seq· 1 Research Focus:chromatin & epigenetic regulation· 1 Approach:deep learning· 1 Assay:DNA methylation· 1 Organism:mouse· 1 Organism:multiple species· 1

Frequent Co-Authors

M. Chikina· 2 shared N. Clark· 2 shared A. Kowalczyk· 1 shared L. Cusick· 1 shared W. Mao· 1 shared

Activity by Year

2020-2022 · peak 1/yr

Co-Author Collaboration Network

5 top collaborators · 8 mutual co-author links

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2 shared papersEvolutionary Biology

M. Chikina

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2 papers

Recent·Most cited

Prediction of local convergent shifts in evolutionary rates with phyloConverge characterizes the phenotypic associations and modularity of regulatory elements

E. Saputra, W. Mao, N. Clark, M. Chikina

This paper introduces phyloConverge, a method to analyze local convergence in regulatory elements, showing it identifies rate-accelerated CNEs linked to ocular tissues in subterranean mammals.

bioRxiv · May 2, 2022 · PreprintEvolutionary Biology

Phylogenetic Permulations: a statistically rigorous approach to measure confidence in associations between phenotypes and genetic elements in a phylogenetic context

E. Saputra, A. Kowalczyk, L. Cusick, N. Clark, M. Chikina

This paper introduces phylogenetic permulations to calculate accurate p-values for phylogenetic analyses, improving statistical confidence in phenotype-genetic element associations.

bioRxiv · Oct 14, 2020Evolutionary Biology