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Kim Rutherford

dblp:18/5820 · also Kim M. Rutherford · DBLP profile ↗
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6ranked-venue papers
2as first author
0since 2021 · last 2014
0000-0001-6277-726XORCID · verified

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

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

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
5 papers
Bioinformatics and computational biology · 100%
Databases, data mining, and information retrieval
1 paper
Data integration and cleaning · 50% Query processing and optimization · 50%

Topics — the 12 heaviest of 13, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › biocuration
literature curation
0.212014
Canto: an online tool for community literature curation · Bioinform. 2014
Bioinformatics and computational biology › data integration
biological data integration
0.112012
InterMine: a flexible data warehouse system for the integration and analysis of heterogeneous biological data · Bioinform. 2012
Bioinformatics and computational biology
comparative genomics
0.122005
ACT: the Artemis comparison tool · Bioinform. 2005
WebACT - an online companion for the Artemis Comparison Tool · Bioinform. 2005
Bioinformatics and computational biology › knowledge representation in biology › biomedical ontology
ontology curation
0.112014
Canto: an online tool for community literature curation · Bioinform. 2014
Bioinformatics and computational biology › genomics › genome visualization
genome alignment visualization
0.112005
ACT: the Artemis comparison tool · Bioinform. 2005
Bioinformatics and computational biology › comparative genomics › genome comparison
genome sequence comparison
0.112005
WebACT - an online companion for the Artemis Comparison Tool · Bioinform. 2005
Data integration and cleaning
heterogeneous data integration
0.012012
InterMine: a flexible data warehouse system for the integration and analysis of heterogeneous biological data · Bioinform. 2012
Bioinformatics and computational biology
genomics
0.012000
Artemis: sequence visualization and annotation · Bioinform. 2000
Bioinformatics and computational biology › genome annotation
sequence annotation visualization
0.012000
Artemis: sequence visualization and annotation · Bioinform. 2000
Bioinformatics and computational biology
genome annotation
0.012005
ACT: the Artemis comparison tool · Bioinform. 2005
Bioinformatics and computational biology › sequence analysis
sequence annotation
0.012005
ACT: the Artemis comparison tool · Bioinform. 2005
Bioinformatics and computational biology › genomics
genome analysis
0.012000
Artemis: sequence visualization and annotation · Bioinform. 2000

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

web services · 0.3reciprocal FASTA · 0.1TBLASTX · 0.1MUMmer · 0.1BLASTN · 0.1BLAST · 0.1
YearPublicationVenuePosition
2014 Canto: an online tool for community literature curation
abstract
MOTIVATION: Detailed curation of published molecular data is essential for any model organism database. Community curation enables researchers to contribute data from their papers directly to databases, supplementing the activity of professional curators and improving coverage of a growing body of literature. We have developed Canto, a web-based tool that provides an intuitive curation interface for both curators and researchers, to support community curation in the fission yeast database, PomBase. Canto supports curation using OBO ontologies, and can be easily configured for use with any species. AVAILABILITY: Canto code and documentation are available under an Open Source license from http://curation.pombase.org/. Canto is a component of the Generic Model Organism Database (GMOD) project (http://www.gmod.org/).
Kim Rutherford, Midori A. Harris, Antonia Lock, Stephen G. Oliver, Valerie Wood
Bioinform.1
2012 InterMine: a flexible data warehouse system for the integration and analysis of heterogeneous biological data
abstract
SUMMARY: InterMine is an open-source data warehouse system that facilitates the building of databases with complex data integration requirements and a need for a fast customizable query facility. Using InterMine, large biological databases can be created from a range of heterogeneous data sources, and the extensible data model allows for easy integration of new data types. The analysis tools include a flexible query builder, genomic region search and a library of 'widgets' performing various statistical analyses. The results can be exported in many commonly used formats. InterMine is a fully extensible framework where developers can add new tools and functionality. Additionally, there is a comprehensive set of web services, for which client libraries are provided in five commonly used programming languages. AVAILABILITY: Freely available from http://www.intermine.org under the LGPL license. CONTACT: [email protected] SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Richard N. Smith, Jelena Aleksic, Daniela Butano, Adrian Carr, Sergio Contrino, Fengyuan Hu, Mike Lyne, Rachel Lyne, Alex Kalderimis, Kim Rutherford, Radek Stepan, Julie M. Sullivan, Matthew Wakeling, Xavier Watkins, Gos Micklem
Bioinform.10
2005 WebACT - an online companion for the Artemis Comparison Tool
abstract
UNLABELLED: WebACT is an online resource which enables the rapid provision of simultaneous BLAST comparisons between up to five genomic sequences in a format amenable for visualization with the well-known Artemis Comparison Tool (ACT). Comparisons can be generated on-the-fly using sequences directly retrieved via EMBL database queries, or by entering or uploading user sequences. Furthermore, pre-computed comparisons are available between all publicly available, completed prokaryotic genomes and plasmids currently contained within the Genome Reviews database (372 sequences, representing 175 different species). The system is designed to minimize the volume of downloaded data and maximize performance. Genome sequences, annotation and pre-computed comparisons are stored in a relational database allowing flexible querying based on user-defined sequence regions, from whole genome to a defined region flanking a specified gene. Comparison and sequence files, whether computed online or retrieved from the database of pre-computed genome comparisons, can be viewed online using ACT and are available for download. AVAILABILITY: Freely accessible at http://www.webact.org. SUPPLEMENTARY INFORMATION: User guide and worked examples are available at http://www.webact.org/WebACT/docs.
J. C. Abbott, David M. Aanensen, Kim Rutherford, Sarah A. Butcher, Brian G. Spratt
Bioinform.3
2005 ACT: the Artemis comparison tool
abstract
The Artemis Comparison Tool (ACT) allows an interactive visualisation of comparisons between complete genome sequences and associated annotations. The comparison data can be generated with several different programs; BLASTN, TBLASTX or Mummer comparisons between genomic DNA sequences, or orthologue tables generated by reciprocal FASTA comparison between protein sets. It is possible to identify regions of similarity, insertions and rearrangements at any level from the whole genome to base-pair differences. ACT uses Artemis components to display the sequences and so inherits powerful searching and analysis tools. ACT is part of the Artemis distribution and is similarly open source, written in Java and can run on any Java enabled platform, including UNIX, Macintosh and Windows. Availability: ACT is freely available (under a GPL licence) for download from the Sanger Institute web site, http://www.sanger.ac.uk Contact: [email protected]
Tim J. Carver, Kim Rutherford, Matthew Berriman, Marie-Adèle Rajandream, Bart Barrell, Julian Parkhill
Bioinform.2
2003 Viewing and Annotating Sequence Data with Artemis
abstract
Artemis is a widely used software tool for annotating and viewing sequence data. No database is required to use Artemis. Instead, individual sequence data files can be analysed with little or no formatting, making it particularly suited to the study of small genomes and chromosomes, and straightforward for a novice user to get started. Since its release in 1999, Artemis has been used to annotate a diverse collection of prokaryotic and eukaryotic genomes, ranging from Streptomyces coelicolor to, more recently, a large proportion of the Plasmodium falciparum genome. Artemis allows annotated genomes to be easily browsed and makes it simple to add useful biological information to raw sequence data. This paper gives an overview of some of the features of Artemis and includes how it facilitates manual gene prediction and can provide an overview of entire chromosomes or small compact genomes--useful for uncovering unusual features such as pathogenicity islands.
Matthew Berriman, Kim Rutherford
Briefings Bioinform.2
2000 Artemis: sequence visualization and annotation
abstract
SUMMARY: Artemis is a DNA sequence visualization and annotation tool that allows the results of any analysis or sets of analyses to be viewed in the context of the sequence and its six-frame translation. Artemis is especially useful in analysing the compact genomes of bacteria, archaea and lower eukaryotes, and will cope with sequences of any size from small genes to whole genomes. It is implemented in Java, and can be run on any suitable platform. Sequences and annotation can be read and written directly in EMBL, GenBank and GFF format. AVAILABITLTY: Artemis is available under the GNU General Public License from http://www.sanger.ac.uk/Software/Artemis
Kim Rutherford, Julian Parkhill, James Crook, Terry Horsnell, Peter Rice, Marie-Adèle Rajandream, Bart Barrell
Bioinform.1