> top > users > Jin-Dong Kim
Jin-Dong Kim
User info
Collections
Name DescriptionUpdated at
11-12 / 12 show all
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
PreeclampsiaPreeclampsia-related annotations for text mining2019-03-10
Projects
NameTDescription# Ann.Updated atStatus
41-50 / 163 show all
LitCovid-docs-s02023-11-29Released
Grays_part2_test8.57 K2023-11-29Testing
Grays_part1_test02023-11-29Testing
LitCovid-PubTator-s1962023-11-29
LitCovid-manual5402023-11-30Developing
glycogenes2.75 K2023-11-30Testing
LitCovid-PD-MONDO-v1PubDictionaries annotation for disease terms - updated at 2020-04-20 It is based on MONDO Version 2020-04-20. The terms in MONDO are loaded in PubDictionaries, 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.13.4 K2023-11-29Released
LitCoin-PubTator-for-TuningA set of randomly selected PubMed articles with PubTator annotation. The labels of PubTator annotations are converted to corresponding labels for LitCoin as follows: 'Gene' -> 'GeneOrGeneProduct', 'Disease' -> 'DiseaseOrPhenotypicFeature', 'Chemical' -> 'ChemicalEntity' 'Species' -> 'OrganismTaxon' 'Mutation' -> 'SequenceVariant' 'CellLine' -> 'CellLine'14.2 K2023-11-29
CORD-19-sample-HP392023-11-27Developing
LitCovid-sample-HP02023-11-29Testing
Automatic annotators
NameDescription
31-38 / 38 show all
PD-MAT
PD-CLO
PD-NCBITaxon
PD-UBERON-AE-2023It annotates for anatomical entities, based on the UBERON-AE-2023 dictionary on PubDictionaries. Threshold is set to 0.85.
Glycan-Image
Glycan-GlyCosmos
TextSentencersentence segmentation
PD-GlycoEpitope
Editors
NameDescription
1-1 / 1
TextAEThe official stable version of TextAE.