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2016 bd2k bgood_wikidata
This document discusses using Wikidata as a platform for integrating and curating biomedical knowledge. Wikidata allows distributed curation of information by many contributors. It currently contains data on human and mouse genes, proteins, diseases, Gene Ontology terms and FDA approved drugs to link biomedical concepts. Applications being developed include integrating gene data into Wikipedia pages and loading microbial genome data. Wikidata aims to centralize biomedical content while distributing the work of curation to scale with the large volume of literature.
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2016 bd2k bgood_wikidata
- 1. Wikidata for biomedical knowledgeintegration and curation Benjamin Good The Scripps Research Institute @bgood bgood@scripps.edu
- 2. “knowledge” • A lot •Important • Text
- 3. What are the functionsof Fibronectin? 37186 articles What are the functions of the 238 ‘significant’ genes that came up in my high throughput screen??
- 4. What are the functionsof Fibronectin? 37186 articles … Gene Property Value Fibronectin Biological Process Angiogenesis Fibronectin Cellular Localization Extracellular matrix Fibronectin Related Disease Glomerulopathy “knowledge integration” “curation” “knowledge base” Answers
- 5. Knowledge Bases 5 1,500+ listedat http://www.oxfordjournals.org/nar/database/a/
- 6. Applications of knowledgebases • Find information • Plan research • ”Known unknowns?” • Interpret data • Gene Ontology Enrichment Analysis
- 7. Interesting Gene List GeneOntology, Pathway, Network interpretation
- 8. Knowledge bases areimportant tools and will only grow more important over time
- 9.
- 10.
- 11. 11 1. Knowledge basesare not complete 2. Will get to later..
- 12. Annotation missing from human GO annotation. Shouldbe here! (‘5 HT Receptor’ means ‘Serotonin Receptor’) Circa 2010
- 13. Added to GO Jan.2016 First characterized 1996 (Kohen et al J Neurochem)
- 14. Interesting Gene List GeneOntology, Pathway, Network interpretation
- 15. We don’t knowwhat we are missing 15 inflammatory response defense response Serotonin receptor activity? ? response to wounding immune response Interesting Gene List
- 16. “Gene Ontology, itsgreat right ?” • “It sucks” • “I only use it out of desperation”
- 17.
- 18. Process of buildingknowledge bases 1. do science 2. publish it 3. Manually extract the knowledge Gene Property Value Fibronectin Biological Process Angiogenesis Fibronectin Cellular Localization Extracellular matrix Fibronectin Related Disease Glomerulopathy
- 19. why does helook so down?
- 20. Many scientists, powerfultools, comparatively little reward for curating knowledge 100’s of thousands 100’s
- 21. More than 2articles published/minute
- 22. Professional biocuration doesnot scale up to the rate of production 1. do science 2. publish it 3. Manually extract the knowledge Gene Property Value Fibronectin Biological Process Angiogenesis Fibronectin Cellular Localization Extracellular matrix Fibronectin Related Disease Glomerulopathy
- 23. 23 1. Knowledge basesare not complete 2. Knowledge needs integration
- 24. Knowledge is scattered, integrationbrings it together
- 25. Merging knowledge bases: thelanguage barrier “Methadone” Interacts with: “Moxifloxacin”May treat: Opioid-Related Disorders ID: N0000000174 ID: 4095 Molecular Weight: 309.44518 g/mol … = ? = ? = ? = ? = ? = ? ID: DB00333 Manufactured by: Roxane laboratories inc
- 26. Good for business,bad for science Google Scholar search shows 469 papers about “identifier mapping” in bioinformatics
- 27. What can wedo?
- 28. Global Knowledge Platform Whatwould happen if everyone was literally working on the same database? 1. Split up work more effectively 2. Make integration the default behavior
- 29. Is to data asWikipedia is to text “Giving more people more access to more knowledge” A free and open repository of knowledge Managed by the MediaWiki foundation that operates Wikipedia
- 30. It’s a knowledge base! • Anyone canedit • Anyone can use
- 31.
- 32. Item: Q414043 RELN Genomic start:103471784 GenLoc assembly: GRCh38 Stated in: Ensembl Release 83 Retrieved: 19 January 2016 Value (numeric) Property Claim Qualifiers References https://www.wikidata.org/wiki/Q414043 Statement
- 33. Item: Q414043 RELN Encodes: Reelin(protein) Stated in: NCBI homo sapiens annotation release 107 Retrieved: 19 January 2016 Value (item) Property Claim Qualifiers References https://www.wikidata.org/wiki/Q414043 Statement
- 34. A Giant GlobalGraph These statements link together into a queryable graph https://query.wikidata.org
- 35. We are seedingit with biomedical data • All human, mouse genes and proteins • All Gene Ontology terms • All FDA approved drugs • 9,000+ human diseases Burgstaller et al (2016) Database (preprint in BioRxiv) Mitraka et al (2015) Semantic Web Applications for the Life Sciences (best paper) (preprint in BioRxiv)
- 36. Our seeds arelargely concepts linked to many identifier systems N identifiers per item • Genes: 8 • Drugs: 18 • Diseases: 11 Burgstaller et al (2016) Database (preprint in BioRxiv) Mitraka et al (2015) Semantic Web Applications for the Life Sciences (best paper) (preprint in BioRxiv) Facilitate integration with key external knowledge bases
- 37. Nurturing a multi-community gardenof biomedical knowledge Gene DrugDisease
- 38. A Platform forknowledge integration and curation 38 Open data Wikipedia(s) Your Apps Here! Your Apps Here! Your Apps Here! Your Apps Here!
- 39. Application #1 (ofmany) Burgstaller et al (2016) Database (preprint in BioRxiv)
- 40. Impact of wikidataon Wikipedia Gene Wiki Version 1. {{GNF_Protein_box | Name = Reelin| image = | image_source = | PDB = {{PDB2|4AD9}} | HGNCid = 18512 | MGIid = | Symbol = LACTB2 | AltSymbols =; CGI-83 | IUPHAR = | ChEMBL = | OMIM = None | ECnumber = | Homologene = 9349 | GeneAtlas_image1 = | GeneAtlas_image2 = | GeneAtlas_image3 = | Protein_domain_image = | Function = {{GNF_GO|id=GO:0005515 |text = protein binding}} {{GNF_GO|id=GO:0016787 |text = hydrolase activity}} {{GNF_GO|id=GO:0046872 |text = metal ion binding}} | Component = {{GNF_GO|id=GO:0005739 |text = mitochondrion}} | Process = {{GNF_GO|id=GO:0008152 |text = metabolic process}} | Hs_EntrezGene = 51110 | Hs_Ensembl = ENSG00000147592 | Hs_RefseqmRNA = NM_016027 | Hs_RefseqProtein = NP_057111 | Hs_GenLoc_db = hg38 | Hs_GenLoc_chr = 8 | Hs_GenLoc_start = 70635318 | Hs_GenLoc_end = 70669174 | Hs_Uniprot = Q53H82 | Mm_EntrezGene = 212442 | Mm_Ensembl = ENSMUSG00000025937 | Mm_RefseqmRNA = NM_145381 | Mm_RefseqProtein = NP_663356 | Mm_GenLoc_db = mm10 | Mm_GenLoc_chr = 1 | Mm_GenLoc_start = 13623330 | Mm_GenLoc_end = 13660546 | Mm_Uniprot = Q99KR3 | path = PBB/51110}} = Gene Wiki Version 2. {{Infobox gene}} • All data in Wikidata • 1 Lua script works for all genes = (1 of these for every gene)
- 41. Application #2 WebApollo Genome Browser 41 • Genome annotation data retrieved from wikidata via SPARQL queries to https://query.wikidata.org • Prototype achieved at recent San Diego hackathon 1 Putman et al (2016) (under review) (preprint in BioRxiv)
- 42. Microbial Genetic Data •WidelyDistributed •Difficult to query •Not structured in meaningful way •A lot of interest from this community !
- 43.
- 44. Microbial genomes inWikidata • Loading genes, proteins, annotations for 120 reference genomes. • Completed 21 genomes so far Putman et al (2016) (under review) (preprint in BioRxiv)
- 45. Microbiome modeling inWikidata Putman et al (2016) (under review) (preprint in BioRxiv)
- 46. 46 1. Knowledge basesare not complete 2. Knowledge needs integration Can help
- 47. Centralizing content whiledistributing labor 47 Open data Your Apps Here! Wikipedia(s) Your Apps Here! Your Apps Here! Your Apps Here!
- 48. Thanks! Gene Wikidata Team AndraWaagmeester (Micelio) * Sebastian Burgstaller (Scripps) * Tim Putman (Scripps) * Elvira Mitraka (U Maryland) Julia Turner (Scripps) Justin Leong (UBC) Lynn Schriml (U Maryland) Paul Pavlidis (UBC) Andrew Su (Scripps) Ginger Tsueng (Scripps) Contact bgood@scripps.edu* First author on manuscript cited in this presentation Ben Tim Andra Elvira Sebastian Some Gene Wiki team members enjoying their best paper award at SWAT4LS, Dec. 2015 Adapted logo
Editor's Notes
- #6 Databases. Obviously much more flexible. You can ask them questions.. (and make pretty pictures that are dynamic)
- #7 “known unknowns” ?? If I want X, what Y should I test?
- #13 Though it is a child of the more generic GO annotation to ‘G protein coupled receptor activity’ Kohen 1996, J Neurochem.
- #19 Given a list of active genes produced from an experiment what key biological processes are happening in the cells? what diseases are these genes associated with? Given a list of genetic variations what diseases is a patient more susceptible to? what drugs should they take/avoid? etc.
- #21 Given a list of active genes produced from an experiment what key biological processes are happening in the cells? what diseases are these genes associated with? Given a list of genetic variations what diseases is a patient more susceptible to? what drugs should they take/avoid? etc.
- #22 Knowledge is either not shared (stuck in your head or your notebook) or it is shared as text and images in journal articles. There are more than 1 million articles added to PubMed each year
- #23 Given a list of active genes produced from an experiment what key biological processes are happening in the cells? what diseases are these genes associated with? Given a list of genetic variations what diseases is a patient more susceptible to? what drugs should they take/avoid? etc.
- #25 Divide and conquer algorithm for creating the knowledge base of everything. Splitting is hard because its very hard to know what other groups are doing, there is no centralized coordination, and decisions about what should be curated are made based on what gets funded rather than what is mist useful for the collective.
- #26 The principle problem of knowledge integration is establishing which entities are shared between different systems Methadone N0000002109 (Opioid-Related Disorders) http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3422823/
- #29 It would be much easier to see what other people were doing By operating in the same database, it is much more likely that you will end up re-using entities that already exist rather than creating new ones and merging them later. Just like in your own local database.
- #40 This is the first application of the work that we have done
- #45 https://www.wikidata.org/wiki/Wikidata_talk:WikiProject_Molecular_biology#Update