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NameT Description# Ann.AuthorMaintainerUpdated_atStatus

81-100 / 556 show all
DisGeNET5_variant_disease The file contains variant-disease associations obtained by text mining MEDLINE abstracts using the BeFree system, including the variant and disease off sets. 144 KIBI GroupYue Wang2023-11-24Released
OryzaGP A dataset for Named Entity Recognition for rice gene29.1 KHuy Do and Pierre LarmandeYue Wang2023-11-24Uploading
Parkinson 54Jin-Dong Kim2023-11-28Testing
GlyCosmos600-GlycoGenes 87Jin-Dong Kim2023-11-28Testing
GlycoBiology-Motifs 4.15 KJin-Dong Kim2023-11-29
SPECIES800_autotagged This project comprises the SPECIES800 corpus documents automatically annotated by the Jensenlab tagger. Annotated entity types are: Genes/proteins from the mentioned organisms (and any human ones) PubChem Compound identifiers NCBI Taxonomy entries Gene Ontology cellular component terms BRENDA Tissue Ontology terms Disease Ontology terms Environment Ontology terms The SPECIES 800 (S800) comprises 800 PubMed abstracts. In its original form species mentions were manually identified and mapped to the corresponding NCBI Taxonomy identifiers. Described in: The SPECIES and ORGANISMS Resources for Fast and Accurate Identification of Taxonomic Names in Text. Pafilis E, Frankild SP, Fanini L, Faulwetter S, Pavloudi C, et al. (2013). PLoS ONE, 2013, 8(6): e65390. doi:10.1371/journal.pone.0065390. The manually annotated corpus is also available as a PubAnnotation project (see here). 0Evangelos Pafilis, Sampo Pyysalo, Lars Juhl Jensenevangelos2015-11-20Testing
PubCasesCollection abstracts in PubCases0Jin-Dong Kim2023-11-29
SMAFIRA_Methods Predictions for methods for the SMAFIRA project.0zebet2023-11-28Developing
LitCovid-docs-s 0Jin-Dong Kim2023-11-29Released
LitCoin-training-merged 14.8 KJin-Dong Kim2023-11-24
GlycoBiology-PACDB cGGDB-based annotation to GlycoBiology abstracts3.03 KToshihide Shikanaishikanai2023-11-27Testing
Grays_part1_test 0Jin-Dong Kim2023-11-29Testing
EDAM-topics annotation for EDAM topics11.6 KJin-Dong Kim2023-11-29Testing
LitCoin-Disease-Tuning-1 Annotator=PD-MeSH2022_C_F03_plus_allFN-B6.98 Kyucca2023-11-29
LitCoin-PubTator_CellLine 388Yasunori Yamamoto2023-11-29Testing
excludesZoonoses 25AikoHIRAKI2023-11-29Developing
EDAM-DFO annotation for EDAM terms for data, formats, and operations12.5 KJin-Dong Kim2023-11-29Testing
GlycoBiology-cGGDB cGGDB-based annotation to GlycoBiology abstracts36Toshihide Shikanaishikanai2023-11-28Testing
pubtator-sample Sample annotation of PubTator produced by Zhiyong Lu et al.28Zhiyong LuJin-Dong Kim2023-11-27Testing
Text-Annotation 02022-01-17
NameT # Ann.AuthorMaintainerUpdated_atStatus

81-100 / 556 show all
DisGeNET5_variant_disease 144 KIBI GroupYue Wang2023-11-24Released
OryzaGP 29.1 KHuy Do and Pierre LarmandeYue Wang2023-11-24Uploading
Parkinson 54Jin-Dong Kim2023-11-28Testing
GlyCosmos600-GlycoGenes 87Jin-Dong Kim2023-11-28Testing
GlycoBiology-Motifs 4.15 KJin-Dong Kim2023-11-29
SPECIES800_autotagged 0Evangelos Pafilis, Sampo Pyysalo, Lars Juhl Jensenevangelos2015-11-20Testing
PubCasesCollection 0Jin-Dong Kim2023-11-29
SMAFIRA_Methods 0zebet2023-11-28Developing
LitCovid-docs-s 0Jin-Dong Kim2023-11-29Released
LitCoin-training-merged 14.8 KJin-Dong Kim2023-11-24
GlycoBiology-PACDB 3.03 KToshihide Shikanaishikanai2023-11-27Testing
Grays_part1_test 0Jin-Dong Kim2023-11-29Testing
EDAM-topics 11.6 KJin-Dong Kim2023-11-29Testing
LitCoin-Disease-Tuning-1 6.98 Kyucca2023-11-29
LitCoin-PubTator_CellLine 388Yasunori Yamamoto2023-11-29Testing
excludesZoonoses 25AikoHIRAKI2023-11-29Developing
EDAM-DFO 12.5 KJin-Dong Kim2023-11-29Testing
GlycoBiology-cGGDB 36Toshihide Shikanaishikanai2023-11-28Testing
pubtator-sample 28Zhiyong LuJin-Dong Kim2023-11-27Testing
Text-Annotation 02022-01-17