Author

Tristan Clark

University College London

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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Bioinformatics· 3

Signature Assays, Organisms & Methods

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Research Focus:database / resource· 2 Approach:statistical model· 2 Research Focus:gene regulatory network inference· 1 Approach:graph neural network· 1 Research Focus:protein design· 1 Assay:protein sequence· 1 Research Focus:variant calling· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Alessia FiorentinoiD· 2 shared Alison J. HardcastleiD· 2 shared Andrea Hilary NemethiD· 2 shared Andrew R. WebsteriD· 2 shared Chris F. InglehearniD· 2 shared David S Gregory· 2 shared Gavin ArnoiD· 2 shared Graeme Charles M. BlackiD· 2 shared

Activity by Year

2017-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersBioinformatics

Alessia FiorentinoORCID

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3 papers

Recent·Most cited

A Method for Computationally Constructing Eukaryotic Synthetic Signal Peptide Sequences

Tom Johnsten, Aishwarya Prakash, Grant T. Daly, Ryan Benton, Tristan Clark

The paper presents a computational method to generate synthetic eukaryotic signal peptides using building blocks, validated by Signal-BLAST showing 88% of generated sequences were identified as signal peptides.

ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM-BCB) · Jul 28, 2022Peer-reviewedBioinformatics

Pheno4J: A Gene To Phenotype Graph Database

Sajid Mughal, Ismail Moghul, Jing Yu, UKIRDC, Graeme Charles M. Black, Georgina Hall, Stuart Ingram, Rachel L. Gillespie, Forbes D. C. Manson, Panagiotis I. Sergouniotis, Chris F. Inglehearn, Carmel Toomes, Manir Ali, Martin McKibbin, James A. Poulter, , David S Gregory

Pheno4J stores and queries genetic and phenotypic data in a graph database to improve efficiency for clinical genetic research.

Bioinformatics · Jun 13, 2017Peer-reviewedBioinformatics

Phenopolis: an open platform for harmonization and analysis of sequencing and phenotype data

Nikolas Pontikos, Jing Yu, Ismail Moghul, Lucy Withington, Fiona Blanco‐Kelly, Tom Vulliamy, Tsz Lun Ernest Wong, Cian Murphy, Valentina Cipriani, Alessia Fiorentino, Gavin Arno, Daniel J. Greene, Julius O.B. Jacobsen, Tristan Clark, David S Gregory, , Vincent Plagnol

Phenopolis provides an open platform for integrating and analyzing sequencing and phenotype data to aid in clinical diagnosis and gene discovery.

Bioinformatics · Mar 14, 2017Peer-reviewedBioinformatics