Author

Matthew Thomas Wayland

University of CambridgeORCID 0000-0002-8095-858XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:human· 2 Research Focus:variant effect prediction· 2 Assay:whole-genome sequencing· 2 Research Focus:differential expression· 1 Assay:DNA methylation· 1 Research Focus:gene regulatory network inference· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1

Frequent Co-Authors

Sudhakaran PrabakaraniD· 2 shared Adam Andreani· 1 shared Chaitanya EradyiD· 1 shared Cristina PinaiD· 1 shared David Chong· 1 shared Felix JacksoniD· 1 shared Jean Henri Nel· 1 shared Kathryn Susan LilleyiD· 1 shared

Activity by Year

2017-2019 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

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2 shared papersGenetics

Sudhakaran PrabakaranORCID

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2 papers

Recent·Most cited

Translational products encoded by novel ORFs may form protein-like structures and have biological functions

Chaitanya Erady, David Chong, Narendra Kumar Meena, Shraddha S. Puntambekar, Ruchi Chauhan, Yagnesh Umrania, Adam Andreani, Jean Henri Nel, Matthew Thomas Wayland, Cristina Pina, Kathryn Susan Lilley, Sudhakaran Prabakaran

The paper shows that novel ORFs can produce protein-like structures with biological functions relevant to disease, challenging the view that they are inconsequential.

bioRxiv · Mar 5, 2019 · PreprintGenetics

Identification And Prioritisation Of Variants In The Short Open-Reading Frame Regions Of The Human Genome

Felix Jackson, Matthew Thomas Wayland, Sudhakaran Prabakaran

The paper evaluates variant calling tools and introduces sORF-c, a machine learning model to prioritize variants in short open-reading frame regions of the human genome.

bioRxiv · May 3, 2017 · PreprintGenetics