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User 'Jin-Dong Kim'


NameDescriptionUpdated at
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GlycoBiologyAnnotations made to the titles and abstracts of the journal 'GlycoBiology'2019-03-10
PreeclampsiaPreeclampsia-related annotations for text mining2019-03-10
bionlp-st-ge-2016The 2016 edition of the Genia event extraction (GE) task organized within BioNLP-ST 20162019-03-11
GlyCosmos600A random collection of 600 PubMed abstracts from 6 glycobiology-related journals: Glycobiology, Glycoconjugate journal, The Journal of biological chemistry, Journal of proteome research, Journal of proteomics, and Carbohydrate research. The whole PMIDs were collected on June 11, 2019. From each journal, 100 PMIDs were randomly sampled.2019-06-11


NameTDescription# Ann.Updated atStatus
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DocumentLevelAnnotationSampleA sample project for document level annotation472017-06-19Testing
ICD10Annotation for disease names as defined in ICD101.6 K2016-05-04Developing
EDAM-DFOannotation for EDAM terms for data, formats, and operations12.5 K2016-09-21Testing
GO-BPAnnotation for biological processes as defined in the "Biological Process" subset of Gene Ontology35.4 K2016-06-04Developing
GlycoBiology-GOGO-based annotation to GlycoBiology abstracts02016-06-11Testing
bionlp-st-ge-2016-corefCoreference annotation to the benchmark data set (reference and test) of BioNLP-ST 2016 GE task. For detailed information, please refer to the benchmark reference data set (bionlp-st-ge-2016-reference) and benchmark test data set (bionlp-st-ge-2016-test).8532016-05-23Released
GO-MFAnnotation for molecular functions as defined in the "Molecular Function" subtree of Gene Ontology19.7 K2016-05-03Testing
bionlp-st-ge-2016-test-proteinsProtein annotations to the benchmark test data set of the BioNLP-ST 2016 GE task. A participant of the GE task may import the documents and annotations of this project to his/her own project, to begin with producing event annotations. For more details, please refer to the benchmark test data set (bionlp-st-ge-2016-test). 4.34 K2016-05-04Released
EDAM-topicsannotation for EDAM topics11.6 K2016-09-21Testing
sentencesSentence segmentation annotation1.27 M2019-07-11Testing

Automatic annotators

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PD-UBERON-AE-BIt annotates for anatomical entities, based on the UBERON-AE dictionary on PubDictionaries. It used the default threshold, 0.85. It uses the batch mode annotation, and may be used for annotation to a large amount of documents.
PD-GlycoEpitope-BA batch annotator using PubDictionaries with the dictionary 'GlycoEpitope'
PubTator-ChemicalTo pull the pre-computed chemical annotation from PubTator.
PubTator-GeneTo pull the pre-computed gene annotation from PubTator.
PubTator-SpeciesTo pull the pre-computed Species annotation from PubTator.
TextSentencersentence segmentation
PubTator-DiseaseTo pull the pre-computed disease annotation from PubTator.
PubTator-MutationTo pull the pre-computed mutation annotation from PubTator.


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TextAEIt is a "Text Annotation Editor" developed by DBCLS. It is developed as a model implementation of PubAnnotation-interoperable viewer/editor.
TextAE-DevIt is a development version of TextAE. While this version has richer features, there is a chance of some bugs.