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Jin-Dong Kim
User info
Collections
NameDescriptionUpdated at
1-10 / 12 show all
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.2021-10-22
LitCovid-v1This collection includes the result from the Covid-19 Virtual Hackathon. LitCovid is a comprehensive literature resource on the subject of Covid-19 collected by NCBI: https://www.ncbi.nlm.nih.gov/research/coronavirus/ Since the literature dataset was released, several groups are producing annotations to the dataset. To facilitate a venue for aggregating the valuable resources which are highly relevant to each other, and should be much more useful when they can be accessed together, this PubAnnotation collection is set up. It is a part of the Covid19-PubAnnotation project. In this collection, the LitCovid-docs project contains all the documents contained in the LitCovid literature collection, and the other projects are annotation datasets contributed by various groups. It is an open collection, which means anyone who wants to contribute can do so, in the following way: take the documents in the, LitCovid-docs project produce annotation to the texts based on your resource, and contribute the annotation back to this collection: create your own project at PubAnnotaiton, upload your annotation to the project (HowTo), and add the project to this collection. All the contributed annotations will become publicly available. Please note that, during uploading your annotation data, you do not need to be worried about slight changes in the text: PubAnnotation will automatically catch them and adjust the positions appropriately. Should you have any question, please feel free to mail to admin@pubannotation.org. 2020-11-20
LitCovid-sampleVarious annotations to a sample set of LitCovid, to demonstrate potential of harmonized various annotations.2021-01-14
CORD-19-sample-annotation2020-04-21
LitCovid2021-10-18
LitCoin2021-12-14
LitCoin-Test2021-12-23
Projects
NameTDescription # Ann.Updated atStatus
91-100 / 159 show all
PubCasesCollectionabstracts in PubCases02023-11-29
PubMed-2000abstracts published in 2000.02023-11-29Developing
pubmed-2016abstracts published in 201602023-11-28
PubMed-2017abstracts published in 2017.02023-11-24Developing
NGLY1-deficiencyA collection of PubMed abstracts that may be related to NGLY1 deficiency.60.5 K2023-11-29Developing
PubMed-German-testA collection of PubMed abstracts which are written in German02023-11-24Developing
PubMed-French-testA collection of PubMed abstract written in French02023-11-29Developing
pubmed-enju-pasAnnotating PubMed abstracts for predicate-argument structure (PAS). Enju 2.4.2 is used to automatically compute PAS.19.1 M2023-11-24Developing
GO-BPAnnotation for biological processes as defined in the "Biological Process" subset of Gene Ontology35.4 K2023-11-29Developing
GO-CCAnnotation for cellular components as defined in the "Cellular Component" subtree of Gene Ontology17.6 K2023-11-30Developing
Automatic annotators
NameDescription
11-20 / 38 show all
PD-FMA-PAEPhysical Anatomical Entities from FMA
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-GlycanStructures-B
PD-GlycoGenes-B
PD-GlycoProteins-B
PD-FMA-PAE-BBatch mode annotator of PD-FMA-PAE
PD-Preeclampsia-B
PD-MONDO-BPubDictionaries annotation with the MONDO dictionary. Asynchronous protocol.
EnjuParserEnju HPSG Parser developed by University of Tokyo.
PD-CHEBIPubdictionaries annotation using the terms sourced from CHEBI, the 2020-03-31 version
Editors
NameDescription
1-2 / 2
TextAE-oldTextAE version 4, which was the latest stable version until Apr. 19, 2020.
TextAETextAE version 5, which enables edition of attributes of denotations.