The Software Ontology (SWO): a resource for reproducibility in biomedical data analysis, curation and digital preservation

被引:55
|
作者
Malone, James [1 ]
Brown, Andy [2 ]
Lister, Allyson L. [2 ]
Ison, Jon [1 ]
Hull, Duncan [2 ]
Parkinson, Helen [1 ]
Stevens, Robert [2 ]
机构
[1] EBI, EMBL, Cambridge CB10 1SD, England
[2] Univ Manchester, Sch Comp Sci, Manchester M13 9PL, Lancs, England
来源
基金
英国工程与自然科学研究理事会;
关键词
WEB SERVICES; BIOINFORMATICS;
D O I
10.1186/2041-1480-5-25
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
Motivation: Biomedical ontologists to date have concentrated on ontological descriptions of biomedical entities such as gene products and their attributes, phenotypes and so on. Recently, effort has diversified to descriptions of the laboratory investigations by which these entities were produced. However, much biological insight is gained from the analysis of the data produced from these investigations, and there is a lack of adequate descriptions of the wide range of software that are central to bioinformatics. We need to describe how data are analyzed for discovery, audit trails, provenance and reproducibility. Results: The Software Ontology (SWO) is a description of software used to store, manage and analyze data. Input to the SWO has come from beyond the life sciences, but its main focus is the life sciences. We used agile techniques to gather input for the SWO and keep engagement with our users. The result is an ontology that meets the needs of a broad range of users by describing software, its information processing tasks, data inputs and outputs, data formats versions and so on. Recently, the SWO has incorporated EDAM, a vocabulary for describing data and related concepts in bioinformatics. The SWO is currently being used to describe software used in multiple biomedical applications. Conclusion: The SWO is another element of the biomedical ontology landscape that is necessary for the description of biomedical entities and how they were discovered. An ontology of software used to analyze data produced by investigations in the life sciences can be made in such a way that it covers the important features requested and prioritized by its users. The SWO thus fits into the landscape of biomedical ontologies and is produced using techniques designed to keep it in line with user's needs. Availability: The Software Ontology is available under an Apache 2.0 license at http://theswo.sourceforge.net/; the Software Ontology blog can be read at http://softwareontology.wordpress.com.
引用
收藏
页数:13
相关论文
共 50 条
  • [31] Data analysis software package for radionuclide standardization with a digital coincidence counting system
    Brancaccio, F.
    Dias, M. S.
    Koskinas, M. F.
    Moreira, D. S.
    de Toledo, F.
    APPLIED RADIATION AND ISOTOPES, 2020, 155
  • [32] Improving the Gene Ontology Resource to Facilitate More Informative Analysis and Interpretation of Alzheimer's Disease Data
    Kramarz, Barbara
    Roncaglia, Paola
    Meldal, Birgit H. M.
    Huntley, Rachael P.
    Martin, Maria J.
    Orchard, Sandra
    Parkinson, Helen
    Brough, David
    Bandopadhyay, Rina
    Hooper, Nigel M.
    Lovering, Ruth C.
    GENES, 2018, 9 (12)
  • [33] QuanTP: A Software Resource for Quantitative Proteo-Transcriptomic Comparative Data Analysis and Informatics
    Kumar, Praveen
    Panigrahi, Priyabrata
    Johnson, James
    Weber, Wanda J.
    Mehta, Subina
    Sajulga, Ray
    Easterly, Caleb
    Crooker, Brian A.
    Heydarian, Mohammad
    Anamika, Krishanpal
    Griffin, Timothy J.
    Jagtap, Pratik D.
    JOURNAL OF PROTEOME RESEARCH, 2019, 18 (02) : 782 - 790
  • [34] Reproducibility of IVUS Measurements in Heart Transplant Recipients: Increased Quality of Data by Using Dedicated Software for Image Analysis
    D'Errico, V.
    Potena, L.
    Fiore, D.
    Fabbri, F.
    Grigioni, F.
    Magnani, G.
    Ortolani, P.
    Bianchi, I.
    Corazza, I.
    Zannoli, R.
    Branzi, A.
    COMPUTERS IN CARDIOLOGY 2008, VOLS 1 AND 2, 2008, : 537 - 540
  • [35] A GUI software suite for data acquisition and analysis of evoked field potentials: Applications in biomedical and electrophysiological research
    Robinson, AA
    Suresh, SSG
    Aloi, DJ
    Fortin, DA
    Blaise, JH
    Bronzino, JD
    PROCEEDINGS OF THE IEEE 28TH ANNUAL NORTHEAST BIOENGINEERING CONFERENCE, 2002, : 123 - 124
  • [36] Processing the Digital Microseism Recordings Using the Data Analysis Kit (DAK) Software Package
    Popov, D. V.
    Danilov, K. B.
    Zhostkov, R. A.
    Dudarov, Z. I.
    Ivanova, E. V.
    SEISMIC INSTRUMENTS, 2014, 50 (01) : 75 - 83
  • [37] Processing the digital microseism recordings using the Data Analysis Kit (DAK) software package
    D. V. Popov
    K. B. Danilov
    R. A. Zhostkov
    Z. I. Dudarov
    E. V. Ivanova
    Seismic Instruments, 2014, 50 (1) : 75 - 83
  • [38] Development of Software Component for Analysis and Visualization of Digital Cloud Platform Data in Higher Education
    Perepelkin, Dmitry
    Saprykin, Aleksey
    Ivanchikova, Maria
    Kosorukov, Sergey
    2020 9TH MEDITERRANEAN CONFERENCE ON EMBEDDED COMPUTING (MECO), 2020, : 800 - 803
  • [39] Reproducibility of computed tomography angiography data analysis using semiautomated plaque quantification software: implications for the design of longitudinal studies
    Stella-Lida Papadopoulou
    Hector M. Garcia-Garcia
    Alexia Rossi
    Chrysafios Girasis
    Anoeshka S. Dharampal
    Pieter H. Kitslaar
    Gabriel P. Krestin
    Pim J. de Feyter
    The International Journal of Cardiovascular Imaging, 2013, 29 : 1095 - 1104
  • [40] Reproducibility of computed tomography angiography data analysis using semiautomated plaque quantification software: implications for the design of longitudinal studies
    Papadopoulou, Stella-Lida
    Garcia-Garcia, Hector M.
    Rossi, Alexia
    Girasis, Chrysafios
    Dharampal, Anoeshka S.
    Kitslaar, Pieter H.
    Krestin, Gabriel P.
    de Feyter, Pim J.
    INTERNATIONAL JOURNAL OF CARDIOVASCULAR IMAGING, 2013, 29 (05): : 1095 - 1104