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Jin-Dong Kim
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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
131-140 / 159 show all
GlyCosmosP-Glycan-Motif82023-11-24Developing
MENA-example232023-11-24Testing
Glycosmos6-GlycoEpitopeAutomatic annotation by PD-GlycoEpitope.19.9 K2023-11-28Developing
GlyCosmos6-UBERON689 K2023-12-15Developing
GlyCosmos6-Glycan-Motif-StructureAutomatic annotation by Covid-19_Glycan-Motif.107 K2023-11-24Developing
NCBITAXONannotation for NCBI taxonomy. Automatic annotation by PD-NCBITaxon.502 K2023-11-24Developing
MyTest9.81 M2023-11-24Testing
LitCovid-sentences5.63 M2023-11-24Developing
CORD-19_Custom_license_subsetThe Custom license subset of the CORD-19 dataset. The documents in this project will be updated as the CORD-19 dataset grows. See the COVID DATASET LICENSE AGREEMENT.5.08 M2023-11-24Released
CORD-19-PD-UBERONPubDictionaries annotation for UBERON terms - updated at 2020-04-30 It is disease term annotation based on Uberon. The terms in Uberon are uploaded in PubDictionaries (Uberon), with which the annotations in this project are produced. The parameter configuration used for this project is here. Note that it is an automatically generated dictionary-based annotation. It will be updated periodically, as the documents are increased, and the dictionary is improved.1.42 M2023-11-24Released
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.