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NameTDescription # Ann.AuthorMaintainerUpdated_atStatus

441-460 / 593 show all
PMID_GLOBAL Global sentencer tagging of public PMID abstracts. Open and publicly available to the global community.2.24 Malo332023-11-24Developing
Glycan-Abbreviation Glycan-Abbreviation - GlycoNAVI Project0ISSAKU YAMADA2023-11-29Testing
GlycoBiology-Epitope GlycoEpitope-based annotation to GlycoBiology abstracts3.18 KShujiro Okudashuo502023-11-29Testing
glycoprotein glycoprotein annotation54issaku yamadaISSAKU YAMADA2023-11-29Testing
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
GlycoBiology-GO GO-based annotation to GlycoBiology abstracts0Jin-Dong Kim2023-11-29Testing
PathNERGold Gold standard used for training PathNER0Chengkin Wunikolamilosevic2023-11-29Developing
hahm_test hahm_test0hahmkaist_nlp2019-04-02Testing
CORD-19_HIRAKI HIRAKI Annotation for CORD-192.98 KAikoHIRAKI2023-11-29Testing
PubCasesHPO HPO annotation in PubCases3.18 MToyofumi Fujiwara2023-11-24Beta
LitCoin-GeneOrGeneProduct-v0 https://pubdictionaries.org/text_annotation.json?dictionary=NCBIGene-NER&threshold=0.85&abbreviation=true15.8 KJin-Dong Kim2023-11-29
relna https://www.tagtog.net/jmcejuela/relna2.77 KAshish Baghudana and Juan Miguel Cejuelatagtog2023-11-29Developing
PubmedHPO Human phenotype annotation to PubMed abstracts, based on the HPO ontology12.4 MTudor Grozatudor2023-11-24Beta
Wangshuguang HZAU_bioinformatics_competition603wangshuguangwangshuguang2023-11-29Released
PGR-FAL Identification of False Relations128Diana Sousadpavot2023-11-29Developing
PGR-NEG Identification of Negative Relations 23Diana Sousadpavot2023-11-28Developing
PGR-UNK Identification of Unknown Relations 91Diana Sousadpavot2023-11-29Developing
biomarkers IL/TNF biomarkers857 Kalo332023-11-24
Inflammaging Inflammation axis23.4 Malo332023-11-24Released
CoMAGC In order to access the large amount of information in biomedical literature about genes implicated in various cancers both efficiently and accurately, the aid of text mining (TM) systems is invaluable. Current TM systems do target either gene-cancer relations or biological processes involving genes and cancers, but the former type produces information not comprehensive enough to explain how a gene affects a cancer, and the latter does not provide a concise summary of gene-cancer relations. In order to support the development of TM systems that are specifically targeting gene-cancer relations but are still able to capture complex information in biomedical sentences, we publish CoMAGC, a corpus with multi- faceted annotations of gene-cancer relations. In CoMAGC, a piece of annotation is composed of four semantically orthogonal concepts that together express 1) how a gene changes, 2) how a cancer changes and 3) the causality between the gene and the cancer. The multi-faceted annotations are shown to have high inter-annotator agreement. In addition, the annotations in CoMAGC allow us to infer the prospective roles of genes in cancers and to classify the genes into three classes according to the inferred roles. We encode the mapping between multi-faceted annotations and gene classes into 10 inference rules. The inference rules produce results with high accuracy as measured against human annotations. CoMAGC consists of 821 sentences on prostate, breast and ovarian cancers. Currently, the corpus deals with changes in gene expression levels among other types of gene changes.1.53 KLee et alHee-Jin Lee2023-11-24Released
NameT# Ann.AuthorMaintainerUpdated_atStatus

441-460 / 593 show all
PMID_GLOBAL 2.24 Malo332023-11-24Developing
Glycan-Abbreviation 0ISSAKU YAMADA2023-11-29Testing
GlycoBiology-Epitope 3.18 KShujiro Okudashuo502023-11-29Testing
glycoprotein 54issaku yamadaISSAKU YAMADA2023-11-29Testing
GlyCosmos600-GlycoProteins 3.68 KJin-Dong Kim2023-11-27Testing
GlycoBiology-GO 0Jin-Dong Kim2023-11-29Testing
PathNERGold 0Chengkin Wunikolamilosevic2023-11-29Developing
hahm_test 0hahmkaist_nlp2019-04-02Testing
CORD-19_HIRAKI 2.98 KAikoHIRAKI2023-11-29Testing
PubCasesHPO 3.18 MToyofumi Fujiwara2023-11-24Beta
LitCoin-GeneOrGeneProduct-v0 15.8 KJin-Dong Kim2023-11-29
relna 2.77 KAshish Baghudana and Juan Miguel Cejuelatagtog2023-11-29Developing
PubmedHPO 12.4 MTudor Grozatudor2023-11-24Beta
Wangshuguang 603wangshuguangwangshuguang2023-11-29Released
PGR-FAL 128Diana Sousadpavot2023-11-29Developing
PGR-NEG 23Diana Sousadpavot2023-11-28Developing
PGR-UNK 91Diana Sousadpavot2023-11-29Developing
biomarkers 857 Kalo332023-11-24
Inflammaging 23.4 Malo332023-11-24Released
CoMAGC 1.53 KLee et alHee-Jin Lee2023-11-24Released