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Ontologies in Bioinformatics: Growing-up challenges Janna Hastings 1,2,3 1 Cheminformatics and Metabolism, European Bioinformatics Institute 2 Swiss Center for Affective Sciences, University of Geneva 3 Swiss Institute of Bioinformatics Robinson-Rechavi 2-day Group Meeting Lausanne, June 4-5 2012
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Bio-ontologies in bioinformatics: Growing up challenges

Aug 28, 2014

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Janna Hastings

Bio-ontologies are growing up, and their use is becoming widespread in many areas of computational science. The new maturity is bringing new challenges, however, in particular visualization of complex ontologies; moving from OBO to OWL; using multiple ontologies in conjunction; training appropriate for biologists and community building.
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Page 1: Bio-ontologies in bioinformatics: Growing up challenges

Ontologies in Bioinformatics: Growing-up challenges

Janna Hastings1,2,3

1 Cheminformatics and Metabolism, European Bioinformatics Institute2 Swiss Center for Affective Sciences, University of Geneva

3 Swiss Institute of Bioinformatics

Robinson-Rechavi 2-day Group MeetingLausanne, June 4-5 2012

Page 2: Bio-ontologies in bioinformatics: Growing up challenges

STANDARDS:RESEARCH

REPRODUCABILITY,BIOCURATION,

DATA INTEGRATION,EXCHANGE,

SEMANTIC WEB…

ANALYSIS: ENRICHMENT,

SEMANTIC SIMILARITY,…

DATABASE MANAGEMENT:

BROWSING,VISUALIZATION,CLASSIFICATION,

AUTOMATED REASONING,

Applications of ontologies in bioinformatics

Page 3: Bio-ontologies in bioinformatics: Growing up challenges

Growing-up challenges for ontologies in bioinformatics

1. Visualization2. Moving from OBO to OWL –

tools, software3. Moving from single ontologies to multiple

ontologies (using cross-products)4. Training aimed at biologists and

bioinformaticians5. Community building

Page 4: Bio-ontologies in bioinformatics: Growing up challenges

Selected ontology-related publications (JH @EBI)

• Janna Hastings et al., Structure-based classification and ontology in chemistry. Journal of Cheminformatics. 2012 Apr 5; 4:8.

• Barry Hardy, [...] Janna Hastings et al. Toxicology ontology perspectives. ALTEX 2012, 29 (2), 139.

• Janna Hastings et al. The Chemical Information Ontology: provenance and disambiguation for chemical data on the biological semantic web. PLoS ONE, 6(10).

• Melanie Courtot, […] Janna Hastings et al. Controlled vocabularies and semantics in Systems Biology. Molecular Systems Biology, 7:543.

• Janna Hastings et al., Modularization requirements in bio-ontologies: A case study of ChEBI. Frontiers in Artificial Intelligence and Applications Volume 230, p. 63--70.

• Kirill Degtyarenko, […] Janna Hastings et al., ChEBI: a database and ontology for chemical entities of biological interest. Nucleic Acids Res. 36, D344-D350.

Page 5: Bio-ontologies in bioinformatics: Growing up challenges

ChEBI: Chemicals of Biological Interest

Page 6: Bio-ontologies in bioinformatics: Growing up challenges
Page 7: Bio-ontologies in bioinformatics: Growing up challenges

1. Ontology visualization

There is a need to hide irrelevant information and concisely display relevant information

Page 8: Bio-ontologies in bioinformatics: Growing up challenges

ChEBI has introduced a new heuristic for hiding redundant paths in the visualiation

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See also http://ols.wordvis.com/

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2. Moving from OBO to OWL

DEPRECATED

OBO-Edit is the most commonlyused bio-ontology editor, but it isno longer actively being developed

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UNUSABLE

by biologist

s?

Protégé is the tool that will replace OBO-Edit, but it urgently needsinvestment in usability improvements for use by biologists and curators

Page 12: Bio-ontologies in bioinformatics: Growing up challenges

APIs for programmaticaly working with OWL ontologies

• OWLTools (Java) … wrapper for, and much easier to use than, the OWL API (Java)

• OntoCat (R)• POSH (Prolog, Unix shell)• InfixOWL (Python)

Page 13: Bio-ontologies in bioinformatics: Growing up challenges

Normalization of ontologies+ automated reasoning for hierarchies

FBbt

Normalized: More relationshipsMore inferred classificationsEasier to maintain but harder to navigate

Non-Normalized: Only is-a, maybe part-of relationsAll relevant relations are not asserted, onlythose found salient by the human annotators

Page 14: Bio-ontologies in bioinformatics: Growing up challenges

3. Working with multiple ontologies

• Cross-products, e.g. chemicals in GO (for terms such as ‘carbohydrate metabolism’)

• No online visualization tools yet are able to display cross-products across ontologies

• Most databases don’t support annotation with composite terms, necessitating pre-composition

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4. Training

Page 16: Bio-ontologies in bioinformatics: Growing up challenges

5. Community building• ICBO conference• ISMB Bio-ontologies SIG

Not well attended by biologists/curators?

• Bio-curation conferenceNot well attended by ontologists?

• OBO Foundry Not very active lately?

• OntoSIB

Ontology @Pub nights Blog: www.bioontology.ch

COMPUTER SCIENCE

BIOLOGY

Page 17: Bio-ontologies in bioinformatics: Growing up challenges

Thank you, AcknowledgementsChristoph SteinbeckColin BatchelorMarcus EnnisVenkatesh Muthukrishnan

Jane LomaxChris Mungall

BBSRCEU-OPENSCREEN

Barry SmithKevin MulliganWerner CeustersNicolas le NovereDavid Osumi-Sutherland

FNS (SNF)EMBL