Richard John Edwards
Affiliations: | University of Southampton, Southampton, England, United Kingdom |
Area:
Bioinformatics, Molecular evolutionGoogle:
"Richard Edwards"Cross-listing: Computational Biology Tree
Parents
Sign in to add mentorJohn F.Y. Brookfield | grad student | Nottingham | |
Denis C. Shields | post-doc | University College Dublin (Computational Biology Tree) |
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Publications
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Edwards RJ, Paulsen K, Aguilar Gomez CM, et al. (2020) Computational Prediction of Disordered Protein Motifs Using SLiMSuite. Methods in Molecular Biology (Clifton, N.J.). 2141: 37-72 |
Davey NE, Babu MM, Blackledge M, et al. (2019) An intrinsically disordered proteins community for ELIXIR. F1000research. 8 |
Holland SI, Edwards RJ, Ertan H, et al. (2019) Whole genome sequencing of a novel, dichloromethane-fermenting from an enrichment culture. Peerj. 7: e7775 |
Idrees S, Pérez-Bercoff Å, Edwards RJ. (2018) Correction: SLiMEnrich: computational assessment of protein-protein interaction data as a source of domain-motif interactions. Peerj. 6 |
Idrees S, Pérez-Bercoff Å, Edwards RJ. (2018) SLiM-Enrich: computational assessment of protein-protein interaction data as a source of domain-motif interactions. Peerj. 6: e5858 |
Edwards R, Amos T, Tang J, et al. (2018) Pseudodiploid pseudo-long-read whole genome sequencing and assembly of Pseudonaja textilis (eastern brown snake) and Notechis scutatus (mainland tiger snake) F1000research. 7 |
Skipp PJ, Hughes C, McKenna T, et al. (2016) Quantitative Proteomics of the Infectious and Replicative Forms of Chlamydia trachomatis. Plos One. 11: e0149011 |
Olorin E, O'Brien KT, Palopoli N, et al. (2015) SLiMScape 3.x: a Cytoscape 3 app for discovery of Short Linear Motifs in protein interaction networks. F1000research. 4: 477 |
Palopoli N, Lythgow KT, Edwards RJ. (2015) QSLiMFinder: improved short linear motif prediction using specific query protein data. Bioinformatics (Oxford, England). 31: 2284-93 |
Edwards RJ, Palopoli N. (2015) Computational prediction of short linear motifs from protein sequences. Methods in Molecular Biology (Clifton, N.J.). 1268: 89-141 |