Author

Robert Sugar

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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Genomics· 2 Genetic & Genomic Medicine· 1

Signature Assays, Organisms & Methods

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Research Focus:differential expression· 2 Organism:human· 2 Approach:statistical model· 2 Assay:whole-genome sequencing· 2 Approach:deep learning· 1 Assay:DNA methylation· 1 Research Focus:drug response / drug discovery· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Alfred Wong· 1 shared Andrey KarailieviD· 1 shared Anjeet Jhutty· 1 shared Anna SchuhiD· 1 shared Anthony Cutts· 1 shared Antonio RuedaiD· 1 shared Archa JainiD· 1 shared Arihant Kamdar· 1 shared

Activity by Year

2015-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperGenomics

Alfred Wong

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Human whole-epigenome modelling for clinical applications with Pleiades

Pouya Niki, Christoforos Nalmpantis, Javkhlan-Ochir Ganbat, Donal Byrne, Pooja Kathail, Ching Fang, Alfred Wong, Andrey Karailiev, Husam A. Babikir, Anjeet Jhutty, Luca Giacomoni, Francisco M. Martín-Zamora, Arihant Kamdar, Nicholas K. Wang, Will P. M. Rowe, , Ravi Solanki

Pleiades, a whole-genome epigenetic model, detects Alzheimer's and Parkinson's disease from plasma cell-free DNA with high accuracy.

bioRxiv · Jul 16, 2025 · PreprintGenomics

Multimodal cell-free DNA whole-genome analysis combined with TET-Assisted Pyridine Borane Sequencing is sensitive and reveals specific cancer signals

Dimitris V. Vavoulis, Anthony Cutts, Nishita Thota, Jordan A. Brown, Robert Sugar, Antonio Rueda, Arman Ardalan, Flavia Matos Santo, Thippesh Sannasiddappa, Bronwen Miller, Stephen Ash, Yibin Liu, Chun‐Xiao Song, Brian David Nicholson, Helene Marie-Pierre Dreau, , Anna Schuh

This paper develops a bioinformatics pipeline combining TAPS and whole-genome sequencing to detect ctDNA in cancer patients, achieving 85.2% sensitivity with 100% specificity.

medRxiv · Sep 29, 2023 · PreprintGenetic & Genomic Medicine

GOTHiC, a simple probabilistic model to resolve complex biases and to identify real interactions in Hi-C data

Borbala Mifsud, Inigo Martincorena, Elodie Darbo, Robert Sugar, Stefan Schoenfelder, Peter Fraser, Nicholas M. Luscombe

GOTHiC introduces a simple probabilistic model to correct biases and identify significant interactions in Hi-C data, outperforming existing methods.

bioRxiv · Sep 23, 2015 · PreprintGenomics