> top > projects

Projects

NameTDescription# Ann. AuthorMaintainerUpdated_atStatus

401-420 / 590 show all
bionlp-ost-19-BB-rel-ner-train 3.62 Kldeleger2023-11-28Developing
GlyCosmos600-GlycoProteins GlycoProtein annotations were made using the glycoprotein-name dictionary on PubDictionaries: http://pubannotation.org/projects/GlyCosmos600-docs The documents were imported from the GlyCosmos600-docs project: http://pubannotation.org/projects/GlyCosmos600-docs3.68 KJin-Dong Kim2023-11-27Testing
SPECIES800 SPECIES 800 (S800): an abstract-based manually annotated corpus. S800 comprises 800 PubMed abstracts in which organism mentions were 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.00653903.71 KEvangelos Pafilis, Sune P. Frankild, Lucia Fanini, Sarah Faulwetter, Christina Pavloudi, Aikaterini Vasileiadou, Christos Arvanitidis, Lars Juhl Jensenevangelos2023-11-28Released
LitCoin-MONDO_bioort2019 DiseaeseOrPhenotypicFeature3.72 KEisuke Dohi2023-11-29Testing
LitCoin-Chemical-MeSH-CHEBI ChemicalEntity: Annotated by PD-MeSH2022_CHEBI_tuned-B3.84 Kyucca2023-11-29Testing
silkworm_phenotype 3.86 Kshigen2023-11-29Developing
LitCovid-sample-Pubtator 3.86 KJin-Dong Kim2023-11-28Uploading
AIMed The AIMed corpus is one of the most widely used corpora for protein-protein interaction extraction. The protein annotations are either parts of the protein interaction annotations, or are uninvolved in any protein interaction annotation. Publication: http://www.cs.utexas.edu/~ml/papers/bionlp-aimed-04.pdf4.04 KThe University of Texas at AustinYue Wang2023-11-27Testing
LitCoin-MeSH-Disease-2 Flase Negative全部入れてみた4.08 Kyucca2023-11-29
GlycoBiology-Motifs 4.15 KJin-Dong Kim2023-11-29
LitCovid-PD-FMA-UBERON-v1 PubDictionaries annotation for anatomy terms - updated at 2020-04-20 Disease term annotation based on FMA and Uberon. Version 2020-04-20. The terms in FMA and Uberon are loaded in PubDictionaries (FMA and Uberon), with which the annotations in this project are produced. The parameter configuration used for this project is here for FMA and there for Uberon. 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.4.3 KJin-Dong Kim2023-11-27Released
FirstAuthor_s_Plants For only Plants4.3 KAikoHIRAKI2023-11-29Testing
simple1 4.34 Khxr-2016_dlut2023-11-29
bionlp-st-ge-2016-test-proteins Protein 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 KDBCLSJin-Dong Kim2023-11-27Released
PIR-corpus1 The Protein Information Resource (PIR) is not biased towards any particular biomedical domain, and is expected to provide more diverse protein names in a given sample size. Annotation category: protein, compound-protein, acronym.4.44 KUniversity of Delaware and Georgetown University Medical CenterYue Wang2023-11-27Released
KAIST_NLP_Annotation6 4.47 Kkaist_nlp2023-11-29Developing
DLUT931 DLUT NLP Lab.Test our event extration result for 16 GE task.4.57 KDLUT9312023-11-30Testing
Covid19_manual_annotation_v2 4.58 KAikoHIRAKI2023-11-24Developing
KAIST_NLP_Annotation7 4.64 Kkaist_nlp2023-11-29Developing
LitCovid-PubTatorCentral Named-entities for the documents in the LitCovid dataset. Annotations were automatically predicted by the PubTatorCentral tool (https://www.ncbi.nlm.nih.gov/research/pubtator/)4.64 Kzebet2023-11-27Released
NameT# Ann. AuthorMaintainerUpdated_atStatus

401-420 / 590 show all
bionlp-ost-19-BB-rel-ner-train 3.62 Kldeleger2023-11-28Developing
GlyCosmos600-GlycoProteins 3.68 KJin-Dong Kim2023-11-27Testing
SPECIES800 3.71 KEvangelos Pafilis, Sune P. Frankild, Lucia Fanini, Sarah Faulwetter, Christina Pavloudi, Aikaterini Vasileiadou, Christos Arvanitidis, Lars Juhl Jensenevangelos2023-11-28Released
LitCoin-MONDO_bioort2019 3.72 KEisuke Dohi2023-11-29Testing
LitCoin-Chemical-MeSH-CHEBI 3.84 Kyucca2023-11-29Testing
silkworm_phenotype 3.86 Kshigen2023-11-29Developing
LitCovid-sample-Pubtator 3.86 KJin-Dong Kim2023-11-28Uploading
AIMed 4.04 KThe University of Texas at AustinYue Wang2023-11-27Testing
LitCoin-MeSH-Disease-2 4.08 Kyucca2023-11-29
GlycoBiology-Motifs 4.15 KJin-Dong Kim2023-11-29
LitCovid-PD-FMA-UBERON-v1 4.3 KJin-Dong Kim2023-11-27Released
FirstAuthor_s_Plants 4.3 KAikoHIRAKI2023-11-29Testing
simple1 4.34 Khxr-2016_dlut2023-11-29
bionlp-st-ge-2016-test-proteins 4.34 KDBCLSJin-Dong Kim2023-11-27Released
PIR-corpus1 4.44 KUniversity of Delaware and Georgetown University Medical CenterYue Wang2023-11-27Released
KAIST_NLP_Annotation6 4.47 Kkaist_nlp2023-11-29Developing
DLUT931 4.57 KDLUT9312023-11-30Testing
Covid19_manual_annotation_v2 4.58 KAikoHIRAKI2023-11-24Developing
KAIST_NLP_Annotation7 4.64 Kkaist_nlp2023-11-29Developing
LitCovid-PubTatorCentral 4.64 Kzebet2023-11-27Released