Author

Alexandra Essebier

The University of QueenslandORCID 0000-0002-6640-9699Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:gene regulatory network inference· 2 Approach:statistical model· 2 Assay:ATAC-seq· 1 Research Focus:benchmarking· 1 Assay:ChIP-seq· 1 Research Focus:differential expression· 1 Research Focus:protein design· 1 Assay:protein sequence· 1

Frequent Co-Authors

Brad BaldersoniD· 2 shared Mikael Bodén AiD· 2 shared Rhys Newell· 2 shared Ariane MoraiD· 1 shared Boštjan KobeiD· 1 shared Burkhard RostiD· 1 shared Connie M. RossiD· 1 shared Dietmar HaltrichiD· 1 shared

Activity by Year

2021-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersBioinformatics

Brad BaldersonORCID

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2 papers

Recent·Most cited

Engineering indel and substitution variants of diverse and ancient enzymes using Graphical Representation of Ancestral Sequence Predictions (GRASP)

Gabriel Foley, Ariane Mora, Connie M. Ross, Scott Bottoms, Leander Sützl, Marnie L. Lamprecht, Julian Zaugg, Alexandra Essebier, Brad Balderson, Rhys Newell, Raine E. S. Thomson, Boštjan Kobe, Ross Thomas Barnard, Luke W. Guddat, Gerhard Schenk, , Mikael Bodén A

The paper introduces GRASP, a method for ancestral sequence reconstruction that handles large datasets and indels, demonstrating its ability to generate biologically active enzyme ancestors.

PLoS Computational Biology · Oct 24, 2022Peer-reviewedBioinformatics

ChIP-R: Assembling reproducible sets of ChIP-seq and ATAC-seq peaks from multiple replicates

Rhys Newell, Richard Pienaar, Brad Balderson, Michael Piper, Alexandra Essebier, Mikael Bodén A

ChIP-R improves the reproducibility of ChIP-seq and ATAC-seq peak calls by statistically combining replicates, outperforming existing methods in recovering transcription factor binding sites.

Genomics · Apr 18, 2021Peer-reviewedBioinformatics