OBO Foundry (@obofoundry) 's Twitter Profile
OBO Foundry

@obofoundry

The Open Biological and Biomedical Ontology (OBO) Foundry
Community development of interoperable ontologies for the biological sciences

ID: 722459851037806592

linkhttp://obofoundry.org/ calendar_today19-04-2016 16:20:25

127 Tweet

374 Followers

86 Following

Sanya B. Taneja (@sanyabt11) 's Twitter Profile Photo

Our work on designing OBO Foundry ontology extensions for natural products won the Best Poster Award from the Bioontologies COSI at ISMB/ECCB 2021 and is now available - doi.org/10.5281/zenodo… NaPDI

fortunalab (@labfortuna) 's Twitter Profile Photo

We have developed the ontology for Avida digital evolution platform (gitlab.com/fortunalab/ont…), and it has been accepted to be part of the OBO Foundry (obofoundry.org/ontology/ontoa…). It's our fortunalab.org first contribution in the field of semantic databases.

Bioregistry (@bioregistry) 's Twitter Profile Photo

We just added 63 new prefixes that cover a significant part of the missing prefixes used in OBO Foundry ontologies. Check out the huge PR here: github.com/biopragmatics/…

Gyori Lab for Computational Biomedicine (@gyorilab) 's Twitter Profile Photo

The @Bioregistry has an API that links entities to external resolvers and providers like in OBO Foundry identifiers.org EBISPOT OLS: 🧬 TP53 bioregistry.io/api/reference/… 🧪 Aspirin bioregistry.io/api/reference/… 🐕 Dog bioregistry.io/api/reference/… 🦠 COVID-19 bioregistry.io/api/reference/…

Chris Mungall (@chrismungall) 's Twitter Profile Photo

Our preprint on ODK, the #OntologyDevelopmentKit is up on arXiv.org arxiv.org/abs/2207.02056. Thanks to @shawnzktan Nicolas Matentzoglu and the whole team for your work on this. This is a lot of work on infrastructure that makes things work behind the scenes. So what is ODK exactly? 1/

Disease Ontology (@diseaseontology) 's Twitter Profile Photo

The Human Disease Ontology (DO) Knowledgebase has been #NIHfunded under a new National Human Genome Research Institute U24 $3.7M award to provide a comprehensive #disease feature similarity network for clinical differential diagnosis and biomedical data exploration. reporter.nih.gov/search/NKzIluA… #DiseaseResearch

The Human Disease Ontology (DO) Knowledgebase has been #NIHfunded under a new <a href="/genome_gov/">National Human Genome Research Institute</a> U24 $3.7M award to provide a comprehensive #disease feature similarity network for clinical differential diagnosis and biomedical data exploration.

reporter.nih.gov/search/NKzIluA…

#DiseaseResearch
Chris Mungall (@chrismungall) 's Twitter Profile Photo

Now talking about the fantastic obook resource, and the guide for "How to be an Open Science Engineer - maximising impact for a better world" oboacademy.github.io/obook/howto/op…

Chris Mungall (@chrismungall) 's Twitter Profile Photo

We have released version 0.3.0 of the #OntologyAccessKit #oaklib github.com/INCATools/onto…. Includes preliminary compatibility with cytoscape CX format and The NDEx Project, upgrade to the latest Bioregistry, and more support for working with the OBO Foundry #RelationOntology!

Chris Mungall (@chrismungall) 's Twitter Profile Photo

Here's our pre-print describing our GPT-3 based knowledge extraction tool SPIRES: arxiv.org/abs/2304.02711. Great work from J. Harry Caufield et al! SPIRES allows you to specify a knowledge schema (in LinkML - Linked (Open) Data Modeling Language) and then populate instances of that schema from unstructured text

Here's our pre-print describing our GPT-3  based knowledge extraction tool SPIRES: arxiv.org/abs/2304.02711. Great work from <a href="/harry_caufield/">J. Harry Caufield</a> et al! SPIRES allows you to specify a knowledge schema (in <a href="/linkml_data/">LinkML - Linked (Open) Data Modeling Language</a>) and then populate instances of that schema from unstructured text
Chris Mungall (@chrismungall) 's Twitter Profile Photo

We want the results to use OBO Foundry class IDs from ontologies like HPO Gene Ontology @[email protected]. However, so far GPT-3 sucks as ontology term IDs (or rather it will hallucinate plausible sequences of digits that bear no relation to the actual term)...

Chris Mungall (@chrismungall) 's Twitter Profile Photo

Are #LLMs capable of interpreting the results of high-throughput genomics experiments? Given a list of genes (e.g. all genes over expressed under a certain condition), can an LLM tell us what those genes have in common, suggesting underlying biological mechanisms? 🧵

Are #LLMs capable of interpreting the results of high-throughput genomics experiments? Given a list of genes (e.g. all genes over expressed under a certain condition), can an LLM tell us what those genes have in common, suggesting underlying biological mechanisms? 🧵
Guy Cochrane (@guyrcochrane) 's Twitter Profile Photo

Many thanks to our 2023 expert review panel and chair, BF Francis Ouellette, the team at GlobalBiodata, especially @RachelDrysdale4 and David Carr, and our supportive Member funding organisations.

Disease Ontology (@diseaseontology) 's Twitter Profile Photo

The Disease Ontology and DO-KB are thrilled to join the GCBR GlobalBiodata ontology OBO Foundry resources: Plant Ontology - Planteome Project Planteome project, Gene Ontology Gene Ontology @[email protected], ChEBI ChEBI as together we're dedicated to continue propelling global biomedical research forward!