C
Cathal Seoighe
Researcher at National University of Ireland, Galway
Publications - 114
Citations - 8223
Cathal Seoighe is an academic researcher from National University of Ireland, Galway. The author has contributed to research in topics: Gene & Genome. The author has an hindex of 37, co-authored 108 publications receiving 7381 citations. Previous affiliations of Cathal Seoighe include University College Dublin & South African National Bioinformatics Institute.
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Journal ArticleDOI
Rapid, complex adaptation of transmitted HIV-1 full-length genomes in subtype C-infected individuals with differing disease progression.
Melissa-Rose Abrahams,Florette K. Treurnicht,Nobubelo K. Ngandu,Sarah Goodier,Jinny C. Marais,Helba Bredell,Ruwayhida Thebus,Debra de Assis Rosa,Koleka Mlisana,Cathal Seoighe,Salim S. Abdool Karim,Clive M. Gray,Carolyn Williamson +12 more
TL;DR: There was rapid virus adaptation following transmission, predominantly driven by CTL pressure, with most changes occurring during high viremia, which provides further challenges for vaccine protection.
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Inhibition of Human BK Polyomavirus Replication by Small Noncoding RNAs
TL;DR: Small replication-regulating RNAs (srRNAs) are reported that specifically inhibit DNA replication of the human BK polyomavirus (BKV) in vitro and in vivo and suggest the design of synthetic agents for inhibiting replication ofpolyomaviruses and possibly other viruses.
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Duplication of the Asymmetric Leaves1/Rough Sheath 2/Phantastica (ARP) Gene Precedes the Explosive Radiation of the Ruschioideae
Nicola Illing,Cornelia Klak,Cheryl Johnson,Denise Brito,Nuria Negrao,Fiona Baine,Victoria van Kets,Kayshinee Rye Ramchurn,Cathal Seoighe,Laura C. Roden +9 more
TL;DR: The recent duplication and subsequent selected gene loss of the ARP transcription factor correlates with the rapid diversification of plant forms in the Ruschioideae.
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Maximum likelihood inference of imprinting and allele-specific expression from EST data
TL;DR: A set of statistical models in a maximum likelihood framework that can make highly efficient use of public transcript data to identify genes with unequal representation of alternative alleles in cDNA libraries are developed and evidence that there are undiscovered imprinted genes in known imprinted regions is reported.
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Epitope Discovery with Phylogenetic Hidden Markov Models
TL;DR: A mutation–selection model of T-cell epitope evolution that allows the human leukocyte antigen (HLA) genotype of the host to influence the evolutionary process and a hidden Markov model to identify contiguous amino acid positions that appear to evolve under immune pressure in the presence of specific host immune alleles and that therefore represent potential epitopes are developed.