Demo Data from SIGIR 2026 / reviewers in the wild / expert
Tim J. Carver
dblp:94/4062 · also Tim Carver
· DBLP profile ↗
12ranked-venue papers
8as first author
0since 2021 · last 2018
0000-0003-1508-3091ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 12 · 8 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
11 papers |
Bioinformatics and computational biology · 100% | |
| Databases, data mining, and information retrieval
1 paper |
Data integration and cleaning · 100% | |
| Human-computer interaction and pervasive computing
1 paper |
User interface design and tools · 100% | |
| Computer graphics and multimedia
1 paper |
Visualization and visual analytics · 100% |
Topics — the 16 heaviest of 19, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › genomics
genome visualization |
0.3 | 3 | 2012 | Artemis: an integrated platform for visualization and analysis of high-throughput sequence-based experimental data · Bioinform. 2012 BamView: viewing mapped read alignment data in the context of the reference sequence · Bioinform. 2010 DNAPlotter: circular and linear interactive genome visualization · Bioinform. 2009 |
Bioinformatics and computational biology
genome annotation |
0.3 | 5 | 2012 | Chado Controller: advanced annotation management with a community annotation system · Bioinform. 2012 Artemis and ACT: viewing, annotating and comparing sequences stored in a relational database · Bioinform. 2008 Artemis: an integrated platform for visualization and analysis of high-throughput sequence-based experimental data · Bioinform. 2012 |
Bioinformatics and computational biology › epigenomics
chromatin interaction analysis |
0.2 | 1 | 2016 | CHiCP: a web-based tool for the integrative and interactive visualization of promoter capture Hi-C datasets · Bioinform. 2016 |
Bioinformatics and computational biology
genomics |
0.2 | 1 | 2016 | CHiCP: a web-based tool for the integrative and interactive visualization of promoter capture Hi-C datasets · Bioinform. 2016 |
Bioinformatics and computational biology › sequence analysis › sequence visualization
high-throughput sequencing data visualization |
0.1 | 1 | 2012 | Artemis: an integrated platform for visualization and analysis of high-throughput sequence-based experimental data · Bioinform. 2012 |
Bioinformatics and computational biology › sequence analysis › read mapping
read mapping visualization |
0.1 | 1 | 2010 | BamView: viewing mapped read alignment data in the context of the reference sequence · Bioinform. 2010 |
Visualization and visual analytics › biological data visualization
genomic data visualization |
0.1 | 1 | 2016 | CHiCP: a web-based tool for the integrative and interactive visualization of promoter capture Hi-C datasets · Bioinform. 2016 |
Bioinformatics and computational biology
comparative genomics |
0.1 | 1 | 2005 | ACT: the Artemis comparison tool · Bioinform. 2005 |
Bioinformatics and computational biology › genomics › genome visualization
genome alignment visualization |
0.1 | 1 | 2005 | ACT: the Artemis comparison tool · Bioinform. 2005 |
Bioinformatics and computational biology
bioinformatics workflow |
0.0 | 1 | 2004 | Taverna: a tool for the composition and enactment of bioinformatics workflows · Bioinform. 2004 |
Bioinformatics and computational biology › statistical genetics
genetic linkage analysis |
0.0 | 1 | 2004 | Pelican: pedigree editor for linkage computer analysis · Bioinform. 2004 |
Bioinformatics and computational biology › genomics › computational genomics
SNP detection |
0.0 | 1 | 2010 | BamView: viewing mapped read alignment data in the context of the reference sequence · Bioinform. 2010 |
Bioinformatics and computational biology › comparative genomics
genome comparison |
0.0 | 1 | 2008 | Artemis and ACT: viewing, annotating and comparing sequences stored in a relational database · Bioinform. 2008 |
Bioinformatics and computational biology › sequence analysis
sequence annotation |
0.0 | 1 | 2005 | ACT: the Artemis comparison tool · Bioinform. 2005 |
Services computing and microservices
service orchestration |
0.0 | 1 | 2004 | Taverna: a tool for the composition and enactment of bioinformatics workflows · Bioinform. 2004 |
Bioinformatics and computational biology › bioinformatics infrastructure
sequence analysis software |
0.0 | 1 | 2003 | The design of Jemboss: a graphical user interface to EMBOSS · Bioinform. 2003 |
Methods — techniques the papers use, named apart from their topics
scalable vector graphics · 0.7hierarchical layout · 0.7interactive visualization · 0.5annotation versioning · 0.3controlled vocabulary · 0.1controlled vocabularies · 0.1computational analysis · 0.1BAM format · 0.1artemis libraries · 0.1gene builder · 0.1chado schema · 0.1scientific workflow language · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2018 | pedigreejs: a web-based graphical pedigree editorabstractMotivation: The collection, management and visualization of clinical pedigree (family history) data is a core activity in clinical genetics centres. However, clinical pedigree datasets can be difficult to manage, as they are time consuming to capture, and can be difficult to build, manipulate and visualize graphically. Several standalone graphical pedigree editors and drawing applications exist but there are no freely available lightweight graphical pedigree editors that can be easily configured and incorporated into web applications. Results: We developed 'pedigreejs', an interactive graphical pedigree editor written in JavaScript, which uses standard pedigree nomenclature. Pedigreejs provides an easily configurable, extensible and lightweight pedigree editor. It makes use of an open-source Javascript library to define a hierarchical layout and to produce images in scalable vector graphics (SVG) format that can be viewed and edited in web browsers. Availability and implementation: The software is freely available under GPL licence (https://ccge-boadicea.github.io/pedigreejs/). Contact: [email protected]. Supplementary information: Supplementary data are available at Bioinformatics online. Tim J. Carver, Alex P. Cunningham, Chantal Babb de Villiers, Simon Hartley, Marc Tischkowitz, Fiona M. Walter, Douglas F. Easton, Antonis C. Antoniou |
Bioinform. | 1 |
| 2016 | CHiCP: a web-based tool for the integrative and interactive visualization of promoter capture Hi-C datasetsabstractUNLABELLED: Promoter capture Hi-C (PCHi-C) allows the genome-wide interrogation of physical interactions between distal DNA regulatory elements and gene promoters in multiple tissue contexts. Visual integration of the resultant chromosome interaction maps with other sources of genomic annotations can provide insight into underlying regulatory mechanisms. We have developed Capture HiC Plotter (CHiCP), a web-based tool that allows interactive exploration of PCHi-C interaction maps and integration with both public and user-defined genomic datasets. AVAILABILITY AND IMPLEMENTATION: CHiCP is freely accessible from www.chicp.org and supports most major HTML5 compliant web browsers. Full source code and installation instructions are available from http://github.com/D-I-L/django-chicp CONTACT: [email protected]. E. C. Schofield, Tim J. Carver, Premanand Achuthan, P. Freire-Pritchett, Mikhail Spivakov, John A. Todd, Oliver S. Burren |
Bioinform. | 2 |
| 2013 | BamView: visualizing and interpretation of next-generation sequencing read alignmentsabstractUNLABELLED: So-called next-generation sequencing (NGS) has provided the ability to sequence on a massive scale at low cost, enabling biologists to perform powerful experiments and gain insight into biological processes. BamView has been developed to visualize and analyse sequence reads from NGS platforms, which have been aligned to a reference sequence. It is a desktop application for browsing the aligned or mapped reads [Ruffalo, M, LaFramboise, T, Koyutürk, M. Comparative analysis of algorithms for next-generation sequencing read alignment. Bioinformatics 2011;27:2790-6] at different levels of magnification, from nucleotide level, where the base qualities can be seen, to genome or chromosome level where overall coverage is shown. To enable in-depth investigation of NGS data, various views are provided that can be configured to highlight interesting aspects of the data. Multiple read alignment files can be overlaid to compare results from different experiments, and filters can be applied to facilitate the interpretation of the aligned reads. As well as being a standalone application it can be used as an integrated part of the Artemis genome browser, BamView allows the user to study NGS data in the context of the sequence and annotation of the reference genome. Single nucleotide polymorphism (SNP) density and candidate SNP sites can be highlighted and investigated, and read-pair information can be used to discover large structural insertions and deletions. The application will also calculate simple analyses of the read mapping, including reporting the read counts and reads per kilobase per million mapped reads (RPKM) for genes selected by the user. AVAILABILITY: BamView and Artemis are freely available software. These can be downloaded from their home pages: http://bamview.sourceforge.net/; http://www.sanger.ac.uk/resources/software/artemis/. Requirements: Java 1.6 or higher. Tim J. Carver, Simon R. Harris, Thomas D. Otto, Matthew Berriman, Julian Parkhill, Jacqueline A. Keane |
Briefings Bioinform. | 1 |
| 2012 | Artemis: an integrated platform for visualization and analysis of high-throughput sequence-based experimental dataabstractMOTIVATION: High-throughput sequencing (HTS) technologies have made low-cost sequencing of large numbers of samples commonplace. An explosion in the type, not just number, of sequencing experiments has also taken place including genome re-sequencing, population-scale variation detection, whole transcriptome sequencing and genome-wide analysis of protein-bound nucleic acids. RESULTS: We present Artemis as a tool for integrated visualization and computational analysis of different types of HTS datasets in the context of a reference genome and its corresponding annotation. AVAILABILITY: Artemis is freely available (under a GPL licence) for download (for MacOSX, UNIX and Windows) at the Wellcome Trust Sanger Institute websites: http://www.sanger.ac.uk/resources/software/artemis/. Tim J. Carver, Simon R. Harris, Matthew Berriman, Julian Parkhill, Jacqueline A. Keane |
Bioinform. | 1 |
| 2012 | Chado Controller: advanced annotation management with a community annotation systemabstractSUMMARY: We developed a controller that is compliant with the Chado database schema, GBrowse and genome annotation-editing tools such as Artemis and Apollo. It enables the management of public and private data, monitors manual annotation (with controlled vocabularies, structural and functional annotation controls) and stores versions of annotation for all modified features. The Chado controller uses PostgreSQL and Perl. AVAILABILITY: The Chado Controller package is available for download at http://www.gnpannot.org/content/chado-controller and runs on any Unix-like operating system, and documentation is available at http://www.gnpannot.org/content/chado-controller-doc The system can be tested using the GNPAnnot Sandbox at http://www.gnpannot.org/content/gnpannot-sandbox-form CONTACT: [email protected]; [email protected] SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Valentin Guignon, Gaëtan Droc, Michael Alaux, Franc-Christophe Baurens, Olivier Garsmeur, Claire Poiron, Tim J. Carver, Mathieu Rouard, Stéphanie Bocs |
Bioinform. | 7 |
| 2010 | BamView: viewing mapped read alignment data in the context of the reference sequenceabstractSUMMARY: BamView is an interactive Java application for visualizing the large amounts of data stored for sequence reads which are aligned against a reference genome sequence. It supports the BAM (Binary Alignment/Map) format. It can be used in a number of contexts including SNP calling and structural annotation. BamView has also been integrated into Artemis so that the reads can be viewed in the context of the nucleotide sequence and genomic features. AVAILABILITY: BamView and Artemis are freely available (under a GPL licence) for download (for MacOSX, UNIX and Windows) at: http://bamview.sourceforge.net/ Tim J. Carver, Ulrike Böhme, Thomas D. Otto, Julian Parkhill, Matthew Berriman |
Bioinform. | 1 |
| 2009 | DNAPlotter: circular and linear interactive genome visualizationabstractUNLABELLED: DNAPlotter is an interactive Java application for generating circular and linear representations of genomes. Making use of the Artemis libraries to provide a user-friendly method of loading in sequence files (EMBL, GenBank, GFF) as well as data from relational databases, it filters features of interest to display on separate user-definable tracks. It can be used to produce publication quality images for papers or web pages. AVAILABILITY: DNAPlotter is freely available (under a GPL licence) for download (for MacOSX, UNIX and Windows) at the Wellcome Trust Sanger Institute web sites: http://www.sanger.ac.uk/Software/Artemis/circular/ Tim J. Carver, Nick R. Thomson, Alan J. Bleasby, Matthew Berriman, Julian Parkhill |
Bioinform. | 1 |
| 2008 | Artemis and ACT: viewing, annotating and comparing sequences stored in a relational databaseabstractMOTIVATION: Artemis and Artemis Comparison Tool (ACT) have become mainstream tools for viewing and annotating sequence data, particularly for microbial genomes. Since its first release, Artemis has been continuously developed and supported with additional functionality for editing and analysing sequences based on feedback from an active user community of laboratory biologists and professional annotators. Nevertheless, its utility has been somewhat restricted by its limitation to reading and writing from flat files. Therefore, a new version of Artemis has been developed, which reads from and writes to a relational database schema, and allows users to annotate more complex, often large and fragmented, genome sequences. RESULTS: Artemis and ACT have now been extended to read and write directly to the Generic Model Organism Database (GMOD, http://www.gmod.org) Chado relational database schema. In addition, a Gene Builder tool has been developed to provide structured forms and tables to edit coordinates of gene models and edit functional annotation, based on standard ontologies, controlled vocabularies and free text. AVAILABILITY: Artemis and ACT are freely available (under a GPL licence) for download (for MacOSX, UNIX and Windows) at the Wellcome Trust Sanger Institute web sites: http://www.sanger.ac.uk/Software/Artemis/ http://www.sanger.ac.uk/Software/ACT/ Tim J. Carver, Matthew Berriman, Adrian Tivey, Chinmay Patel, Ulrike Böhme, Bart Barrell, Julian Parkhill, Marie-Adèle Rajandream |
Bioinform. | 1 |
| 2005 | ACT: the Artemis comparison toolabstractThe 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. | 1 |
| 2004 | Pelican: pedigree editor for linkage computer analysisabstractSUMMARY: Linkage analysis software requires an input text file that describes the structure of the pedigrees to be analysed. Manual creation of these files is tedious and error-prone, and a graphical input tool is desirable. This is currently only available in commercial packages that include much greater functionality. We have therefore developed Pelican, a lightweight graphical pedigree editor for rapid construction of linkage pedigree files and diagrams. AVAILABILITY: The software runs on any Java-enabled machine (version 1.2 or higher). A Java Web Start launch, class files, a demonstration applet, source code and documentation are freely available at http://www.rfcgr.mrc.ac.uk/Software/PELICAN/ Frank Dudbridge, Tim J. Carver, Gary Williams 0001 |
Bioinform. | 2 |
| 2004 | Taverna: a tool for the composition and enactment of bioinformatics workflowsabstractMOTIVATION: In silico experiments in bioinformatics involve the co-ordinated use of computational tools and information repositories. A growing number of these resources are being made available with programmatic access in the form of Web services. Bioinformatics scientists will need to orchestrate these Web services in workflows as part of their analyses. RESULTS: The Taverna project has developed a tool for the composition and enactment of bioinformatics workflows for the life sciences community. The tool includes a workbench application which provides a graphical user interface for the composition of workflows. These workflows are written in a new language called the simple conceptual unified flow language (Scufl), where by each step within a workflow represents one atomic task. Two examples are used to illustrate the ease by which in silico experiments can be represented as Scufl workflows using the workbench application. Thomas M. Oinn, Matthew Addis, Justin Ferris, Darren Marvin, Martin Senger, Robert Mark Greenwood, Tim J. Carver, Kevin Glover, Matthew R. Pocock, Anil Wipat, Peter Li |
Bioinform. | 7 |
| 2003 | The design of Jemboss: a graphical user interface to EMBOSSabstractDESIGN: Jemboss is a graphical user interface (GUI) for the European Molecular Biology Open Software Suite (EMBOSS). It is being developed at the MRC UK HGMP-RC as part of the EMBOSS project. This paper explains the technical aspects of the Jemboss client-server design. The client-server model optionally allows that a Jemboss user have an account on the remote server. The Jemboss client is written in Java and is downloaded automatically to a user's workstation via Java Web Start using the HTML protocol. The client then communicates with the remote server using SOAP (Simple Object Access Protocol). A Tomcat server listens on the remote machine and communicates the SOAP requests to a Jemboss server, again written in Java. This Java server interprets the client requests and executes them through Java Native Interface (JNI) code written in the C language. Another C program having setuid privilege, jembossctl, is called by the JNI code to perform the client requests under the user's account on the server. The commands include execution of EMBOSS applications, file management and project management tasks. Jemboss allows the use of JSSE for encryption of communication between the client and server. The GUI parses the EMBOSS Ajax Command Definition language for form generation and maximum input flexibility. Jemboss interacts directly with the EMBOSS libraries to allow dynamic generation of application default settings. RESULTS: This interface is part of the EMBOSS distribution and has attracted much interest. It has been set up at many other sites globally as well as being used at the HGMP-RC for registered users. AVAILABILITY: The software, EMBOSS and Jemboss, is freely available to academics and commercial users under the GPL licence. It can be downloaded from the EMBOSS ftp server: http://www.uk.embnet.org/Software/EMBOSS/, ftp://ftp.uk.embnet.org/pub/EMBOSS/. Registered HGMP-RC users can access an installed server from: http://www.uk.embnet.org/Software/EMBOSS/Jemboss/ Tim J. Carver, Alan J. Bleasby |
Bioinform. | 1 |