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Jon C. Ison

dblp:80/195 · DBLP profile ↗
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9ranked-venue papers
4as first author
0since 2021 · last 2020
0000-0001-6666-1520ORCID · verified

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

Applied, interdisciplinary, general and emerging computing · 8 · 4 first-authorSoftware engineering, systems software and programming languages · 3

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 · 71% Computational science and engineering · 29%

Topics — the 5 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology
proteomics
0.412019
Automated workflow composition in mass spectrometry-based proteomics · Bioinform. 2019
Computational science and engineering › scientific workflow
workflow composition
0.412019
Automated workflow composition in mass spectrometry-based proteomics · Bioinform. 2019
Bioinformatics and computational biology › biomedical text mining
semantic annotation
0.212013
EDAM: an ontology of bioinformatics operations, types of data and identifiers, topics and formats · Bioinform. 2013
Bioinformatics and computational biology › genome annotation
ontology-based annotation
0.112019
Automated workflow composition in mass spectrometry-based proteomics · Bioinform. 2019
Bioinformatics and computational biology
data integration
0.112010
BioXSD: the common data-exchange format for everyday bioinformatics web services · Bioinform. 2010

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

workflow benchmarking · 0.4semantic annotation · 0.4ontology engineering · 0.2XML Schema · 0.1EDAM ontology · 0.1
YearPublicationVenuePosition
2020 Community curation of bioinformatics software and data resources
abstract
The corpus of bioinformatics resources is huge and expanding rapidly, presenting life scientists with a growing challenge in selecting tools that fit the desired purpose. To address this, the European Infrastructure for Biological Information is supporting a systematic approach towards a comprehensive registry of tools and databases for all domains of bioinformatics, provided under a single portal (https://bio.tools). We describe here the practical means by which scientific communities, including individual developers and projects, through major service providers and research infrastructures, can describe their own bioinformatics resources and share these via bio.tools.
Jon C. Ison, Hervé Ménager, Bryan Brancotte, Erik Jaaniso, Ahto Salumets, Tomás Racek, Anna-Lena Lamprecht, Magnus Palmblad, Matús Kalas, Piotr Chmura, John M. Hancock, Veit Schwämmle, Hans-Ioan Ienasescu
Briefings Bioinform.1
2019 Automated workflow composition in mass spectrometry-based proteomics
abstract
MOTIVATION: Numerous software utilities operating on mass spectrometry (MS) data are described in the literature and provide specific operations as building blocks for the assembly of on-purpose workflows. Working out which tools and combinations are applicable or optimal in practice is often hard. Thus researchers face difficulties in selecting practical and effective data analysis pipelines for a specific experimental design. RESULTS: We provide a toolkit to support researchers in identifying, comparing and benchmarking multiple workflows from individual bioinformatics tools. Automated workflow composition is enabled by the tools' semantic annotation in terms of the EDAM ontology. To demonstrate the practical use of our framework, we created and evaluated a number of logically and semantically equivalent workflows for four use cases representing frequent tasks in MS-based proteomics. Indeed we found that the results computed by the workflows could vary considerably, emphasizing the benefits of a framework that facilitates their systematic exploration. AVAILABILITY AND IMPLEMENTATION: The project files and workflows are available from https://github.com/bio-tools/biotoolsCompose/tree/master/Automatic-Workflow-Composition. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Magnus Palmblad, Anna-Lena Lamprecht, Jon C. Ison, Veit Schwämmle
Bioinform.3
2018 Automated Composition of Scientific Workflows in Mass Spectrometry-Based Proteomics
abstract
Numerous software utilities operating on mass spectrometry (MS) data are described in the literature that provide specific operations as building blocks for the assembly of purpose-specific workflows. Working out which tools and combinations are applicable or optimal is often hard: insufficient annotation of tool functions and interfaces impedes finding viable tool combinations, and potentially compatible tools may not, in practice, operate together. Thus researchers face difficulties in selecting practical and effective data analysis pipelines for a specific experimental design.
Anna-Lena Lamprecht, Magnus Palmblad, Jon C. Ison, Veit Schwämmle
eScience3
2016 Using registries to integrate bioinformatics tools and services into workbench environments
abstract
The diversity and complexity of bioinformatics resources presents significant challenges to their localisation, deployment and use, creating a need for reliable systems that address these issues. Meanwhile, users demand increasingly usable and integrated ways to access and analyse data, especially within convenient, integrated “workbench” environments. Resource descriptions are the core element of registry and workbench systems, which are used to both help the user find and comprehend available software tools, data resources, and Web Services, and to localise, execute and combine them. The descriptions are, however, hard and expensive to create and maintain, because they are volatile and require an exhaustive knowledge of the described resource, its applicability to biological research, and the data model and syntax used to describe it. We present here the Workbench Integration Enabler , a software component that will ease the integration of bioinformatics resources in a workbench environment, using their description provided by the existing ELIXIR Tools and Data Services Registry.
Hervé Ménager, Matús Kalas, Kristoffer Rapacki, Jon C. Ison
Int. J. Softw. Tools Technol. Transf.4
2013 EDAM: an ontology of bioinformatics operations, types of data and identifiers, topics and formats
abstract
MOTIVATION: Advancing the search, publication and integration of bioinformatics tools and resources demands consistent machine-understandable descriptions. A comprehensive ontology allowing such descriptions is therefore required. RESULTS: EDAM is an ontology of bioinformatics operations (tool or workflow functions), types of data and identifiers, application domains and data formats. EDAM supports semantic annotation of diverse entities such as Web services, databases, programmatic libraries, standalone tools, interactive applications, data schemas, datasets and publications within bioinformatics. EDAM applies to organizing and finding suitable tools and data and to automating their integration into complex applications or workflows. It includes over 2200 defined concepts and has successfully been used for annotations and implementations. AVAILABILITY: The latest stable version of EDAM is available in OWL format from http://edamontology.org/EDAM.owl and in OBO format from http://edamontology.org/EDAM.obo. It can be viewed online at the NCBO BioPortal and the EBI Ontology Lookup Service. For documentation and license please refer to http://edamontology.org. This article describes version 1.2 available at http://edamontology.org/EDAM_1.2.owl. CONTACT: [email protected].
Jon C. Ison, Matús Kalas, Inge Jonassen, Dan M. Bolser, Mahmut Uludag, Hamish McWilliam, James Malone, Rodrigo Lopez, Steve Pettifer, Peter M. Rice
Bioinform.1
2010 BioXSD: the common data-exchange format for everyday bioinformatics web services
abstract
MOTIVATION: The world-wide community of life scientists has access to a large number of public bioinformatics databases and tools, which are developed and deployed using diverse technologies and designs. More and more of the resources offer programmatic web-service interface. However, efficient use of the resources is hampered by the lack of widely used, standard data-exchange formats for the basic, everyday bioinformatics data types. RESULTS: BioXSD has been developed as a candidate for standard, canonical exchange format for basic bioinformatics data. BioXSD is represented by a dedicated XML Schema and defines syntax for biological sequences, sequence annotations, alignments and references to resources. We have adapted a set of web services to use BioXSD as the input and output format, and implemented a test-case workflow. This demonstrates that the approach is feasible and provides smooth interoperability. Semantics for BioXSD is provided by annotation with the EDAM ontology. We discuss in a separate section how BioXSD relates to other initiatives and approaches, including existing standards and the Semantic Web. AVAILABILITY: The BioXSD 1.0 XML Schema is freely available at http://www.bioxsd.org/BioXSD-1.0.xsd under the Creative Commons BY-ND 3.0 license. The http://bioxsd.org web page offers documentation, examples of data in BioXSD format, example workflows with source codes in common programming languages, an updated list of compatible web services and tools and a repository of feature requests from the community.
Matús Kalas, Pål Puntervoll, Alexandre Joseph, Edita Bartaseviciute, Armin Töpfer, Prabakar Venkataraman, Steve Pettifer, Jan Christian Bryne, Jon C. Ison, Christophe Blanchet, Kristoffer Rapacki, Inge Jonassen
Bioinform.9
2006 EMBRACE: Bioinformatics Data and Analysis Tool Services for e-Science
abstract
The EMBRACE project is a network of European partners providing services which integrate the major data resources and analysis software tools using web services and emerging grid technologies. Prototype services are available for the core data resources and the most commonly used tools for sequence analysis. Data access uses the WSDbFetch and BioMart services from the European Bioinformatics Institute. Software tool services use the SoapLab services, also from the European Bioinformatics Institute. The preferred client for these services is Taverna from the myGrid project. Subprojects are collecting and analyzing biological use cases, and maintaining a watch on emerging grid technology in Europe.
Peter M. Rice, Alan J. Bleasby, Syed A. Haider, Jon C. Ison, Shaun McGlinchey, Mahmut Uludag
e-Science4
2000 Software Review Exploring Protein Domain Structure
abstract
The protein databank contains coordinates of over 10,000 protein structures, which constitute more than 25,000 structural domains in total. The investigation of protein structural, functional and evolutionary relationships is fundamental to many important fields in bioinformatics research, and will be crucial in determining the function of the human and other genomes. This review describes the SCOP and CATH databases of protein structure classification, which define, classify and annotate each domain in the protein databank. The hierarchical structure, use and annotation of the databases are explained. Other tools for exploring protein structure relationships are also described.
Jon C. Ison
Briefings Bioinform.1
2000 Information Resources for the Bioinformatician
abstract
The collaborative computing project in biosequence and structure analysis (CCPII) was established to foster bioinformatics in the broad community and the UK research community in particular. A World-Wide Web site called 'The Bioinformatics Resource' has been created containing a comprehensive set of information resources of use to the bioinformatician. The activities of CCPII are complementary to other providers of molecular biology information such as the BIOSCI electronic communication forum, which was established to facilitate communication between professionals in the biological sciences.
Jon C. Ison, Sinead B. O'Leary, Alan J. Bleasby, David S. Moss
Briefings Bioinform.1