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Paul J. Kersey

dblp:52/11254 · also Paul Julian Kersey · DBLP profile ↗
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6ranked-venue papers
1as first author
2since 2021 · last 2026
0000-0002-7054-800XORCID · verified

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 6 · 1 first-author · 2 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
3 papers
Bioinformatics and computational biology · 100%

Topics — the 4 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › genomics
plant genomics
1.012026
Integrating plant phenotypic and genotypic data in the AGENT project: a BrAPI service implementation · Bioinform. 2026
Bioinformatics and computational biology
comparative genomics
0.012002
Interactive InterPro-based comparisons of proteins in whole genomes · Bioinform. 2002
Bioinformatics and computational biology › proteomics
proteome comparison
0.012002
Interactive InterPro-based comparisons of proteins in whole genomes · Bioinform. 2002
Bioinformatics and computational biology › biological database
protein sequence database
0.012000
VARSPLIC: alternatively-spliced protein sequences derived from SWISS-PROT and TrEMBL · Bioinform. 2000

Methods — techniques the papers use, named apart from their topics

BrAPI proxy · 1.0API integration · 1.0interpro analysis · 0.0sequence similarity search · 0.0
YearPublicationVenuePosition
2026 Integrating plant phenotypic and genotypic data in the AGENT project: a BrAPI service implementation
abstract
MOTIVATION: The AGENT project established a network of actively cooperating European genebanks, integrating genomic and phenotypic data from accessions of wheat and barley. Due to specific storage demands for phenotypic and genotypic data, the project used separate database instances and backend technologies to manage integrated phenotypic and genotypic data. RESULTS: We discuss the challenges encountered when integrating dispersed data to serve through a single interface such as the Plant Breeding Application Programming Interface, BrAPI. We examine how the consistent mappability of genebank data to the BrAPI model can enable the implementation of effective services. The advantages of BrAPI in transparently linking distributed data entities through embedded, unique identifiers are highlighted. We present a technical solution involving a BrAPI proxy, which combines and merges separate BrAPI endpoints. Finally, we demonstrate the AGENT BrAPI implementation with an illustrative example that validates a suggested SNP for a trait from the literature by linking phenotypic, genotypic and passport data. AVAILABILITY AND IMPLEMENTATION: The BrAPI proxy implementation and documentation is available at the Python Package Index (https://pypi.org/project/brapi-proxy) and archived in Zenodo (doi: 10.5281/zenodo.19436445). SUPPLEMENTARY INFORMATION: A Jupyter Notebook file for the validation example using a marker-trait relationship found in the literature.
Matthijs Brouwer, Jens Bauernfeind, Gouripriya Davuluri, Jorge García Brizuela, Patrick König, Matthias Lange 0001, Stephan Weise, Erik Wijnker, Cyril Pommier, Joseph Ruff, Paul J. Kersey
Bioinform.12
2023 MitoHiFi: a python pipeline for mitochondrial genome assembly from PacBio high fidelity reads
abstract
BACKGROUND: PacBio high fidelity (HiFi) sequencing reads are both long (15-20 kb) and highly accurate (> Q20). Because of these properties, they have revolutionised genome assembly leading to more accurate and contiguous genomes. In eukaryotes the mitochondrial genome is sequenced alongside the nuclear genome often at very high coverage. A dedicated tool for mitochondrial genome assembly using HiFi reads is still missing. RESULTS: MitoHiFi was developed within the Darwin Tree of Life Project to assemble mitochondrial genomes from the HiFi reads generated for target species. The input for MitoHiFi is either the raw reads or the assembled contigs, and the tool outputs a mitochondrial genome sequence fasta file along with annotation of protein and RNA genes. Variants arising from heteroplasmy are assembled independently, and nuclear insertions of mitochondrial sequences are identified and not used in organellar genome assembly. MitoHiFi has been used to assemble 374 mitochondrial genomes (368 Metazoa and 6 Fungi species) for the Darwin Tree of Life Project, the Vertebrate Genomes Project and the Aquatic Symbiosis Genome Project. Inspection of 60 mitochondrial genomes assembled with MitoHiFi for species that already have reference sequences in public databases showed the widespread presence of previously unreported repeats. CONCLUSIONS: MitoHiFi is able to assemble mitochondrial genomes from a wide phylogenetic range of taxa from Pacbio HiFi data. MitoHiFi is written in python and is freely available on GitHub ( https://github.com/marcelauliano/MitoHiFi ). MitoHiFi is available with its dependencies as a Docker container on GitHub (ghcr.io/marcelauliano/mitohifi:master).
Marcela Uliano-Silva, João Gabriel R. N. Ferreira, Ksenia Krasheninnikova, Mark L. Blaxter, Nova Mieszkowska, Neil Hall, Peter Holland, Richard Durbin, Thomas Richards, Paul J. Kersey, Peter Hollingsworth, Willie Wilson, Alex Twyford, Ester Gaya, Mara Lawniczak, Owen Lewis, Gavin Broad, Fergal Martin, Michelle Hart, Ian Barnes, Giulio Formenti, Linelle Abueg, James W. Torrance, Eugene W. Myers, Shane A. McCarthy
BMC Bioinform.10
2002 Applications of InterPro in Protein Annotation and Genome Analysis
abstract
The applications of InterPro span a range of biologically important areas that includes automatic annotation of protein sequences and genome analysis. In automatic annotation of protein sequences InterPro has been utilised to provide reliable characterisation of sequences, identifying them as candidates for functional annotation. Rules based on the InterPro characterisation are stored and operated through a database called RuleBase. RuleBase is used as the main tool in the sequence database group at the EBI to apply automatic annotation to unknown sequences. The annotated sequences are stored and distributed in the TrEMBL protein sequence database. InterPro also provides a means to carry out statistical and comparative analyses of whole genomes. In the Proteome Analysis Database, InterPro analyses have been combined with other analyses based on CluSTr, the Gene Ontology (GO) and structural information on the proteins.
Margaret Biswas, Joseph F. O'Rourke, Evelyn Camon, Gillian Fraser, Alexander Kanapin, Youla Karavidopoulou, Paul J. Kersey, Evgenia V. Kriventseva, Virginie Mittard, Nicola J. Mulder, Isabelle Phan, Florence Servant, Rolf Apweiler
Briefings Bioinform.7
2002 Interactive InterPro-based comparisons of proteins in whole genomes
abstract
Abstract Motivation: The SWISS-PROT group at the EBI has developed the Proteome Analysis Database utilizing existing resources and providing comprehensive and integrated comparative analysis of the predicted protein coding sequencesof the complete genomes of bacteria, archaea and eukaryotes. The Proteome Analysis Database is accompanied by a program that has been designed to carry out interactive InterPro proteome comparisons for any one proteome against any other one or more of the proteomes in the database. Availability: http://www.ebi.ac.uk/proteome/comparisons.html Contact: [email protected]; [email protected] * To whom all correspondence should be addressed.
Alexander Kanapin, Rolf Apweiler, Margaret Biswas, Wolfgang Fleischmann, Youla Karavidopoulou, Paul J. Kersey, Evgenia V. Kriventseva, Virginie Mittard, Nicola J. Mulder, Thomas M. Oinn, Isabelle Phan, Florence Servant, Evgeny M. Zdobnov
Bioinform.6
2001 Technical comment to "Database verification studies of SWISS-PROT and GenBank" by Karp et al
abstract
Rolf Apweiler, Paul Kersey, Viv Junker, Amos Bairoch; Technical comment to “Database verification studies of SWISS-PROT and GenBank” by Karp et al., Bioinformat
Rolf Apweiler, Paul J. Kersey, Vivien Junker, Amos Bairoch
Bioinform.2
2000 VARSPLIC: alternatively-spliced protein sequences derived from SWISS-PROT and TrEMBL
abstract
UNLABELLED: The program varsplic.pl uses information present in the SWISS-PROT and TrEMBL databases to create new records for alternatively spliced isoforms. These new records can be used in similarity searches. AVAILABILITY: The program is available at ftp://ftp.ebi.ac.uk/pub/software/swissprot/, together with regularly updated output files. CONTACT: [email protected]
Paul J. Kersey, Henning Hermjakob, Rolf Apweiler
Bioinform.1