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NameTDescription # Ann.AuthorMaintainerUpdated_atStatus

121-140 / 592 show all
tagtog OpenAccess annotations coming from tagtog.net0tagtogtagtog2015-02-23Developing
EDAN70 NLP tagging of articles concerning covid19.0fettmedknaoz2023-11-29
bionlp-st-ge-2016-reference-tees NER and event extraction produced by TEES (with the default GE11 model) for the 20 full papers used in the BioNLP 2016 GE task reference corpus.14.6 KNico Colic Nico Colic2023-11-29Released
bionlp-st-ge-2016-test-tees NER and event extraction produced by TEES (with the default GE11 model) for the 14 full papers used in the BioNLP 2016 GE task test corpus.9.17 KNico ColicNico Colic2023-11-29Released
Biotea NCBO annotation on full text for PMC articles. Currently including only a small set of 2811 articles corresponding to those supporting curated diesease-protein annotation from UniProt and with machine-processable full text.894 KL. Garcia2023-11-24Developing
GlycoBiology-NCBITAXON NCBITAXON-based annotation to GlycoBiology abstracts32.7 Kshuo502023-11-29Testing
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
bayaba nalee7Nakyolee2023-11-29
GENIAcorpus multi_cell (1,782) mono_cell (222) virus (2,136) protein_family_or_group (8,002) protein_complex (2,394) protein_molecule (21,290) protein_subunit (942) protein_substructure (129) protein_domain_or_region (1,044) protein_other (97) peptide (521) amino_acid_monomer (784) DNA_family_or_group (332) DNA_molecule (664) DNA_substructure (2) DNA_domain_or_region (39) DNA_other (16) RNA_family_or_group (1,545) RNA_molecule (554) RNA_substructure (106) RNA_domain_or_region (8,237) RNA_other (48) polynucleotide (259) nucleotide (243) lipid (2,375) carbohydrate (99) other_organic_compound (4,113) body_part (461) tissue (706) cell_type (7,473) cell_component (679) cell_line (4,129) other_artificial_source (211) inorganic (258) atom (342) other (21,056) 78.9 KGENIA ProjectYue Wang2023-11-29Released
LitCoin-Disease-MeSH MeSH C and F03, plus false negatives that appear in two or more documents in LitCoin-entities3.56 Kyucca2023-11-29Testing
PMA_Manual Manually annotated examples of medical device PMA approval statements204Stefano Rensitherightstef2023-11-27Developing
PA-LLM 🖐️ LLMs for biomedical text summarisation0Nico Colic2024-01-19Developing
KoreanFN-example Korean FrameNet example6Jin-Dong Kim2023-11-29Developing
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
Inflammaging Inflammation axis23.4 Malo332023-11-24Released
biomarkers IL/TNF biomarkers857 Kalo332023-11-24
PGR-UNK Identification of Unknown Relations 91Diana Sousadpavot2023-11-29Developing
PGR-NEG Identification of Negative Relations 23Diana Sousadpavot2023-11-28Developing
PGR-FAL Identification of False Relations128Diana Sousadpavot2023-11-29Developing
Wangshuguang HZAU_bioinformatics_competition603wangshuguangwangshuguang2023-11-29Released
NameT# Ann.AuthorMaintainerUpdated_atStatus

121-140 / 592 show all
tagtog 0tagtogtagtog2015-02-23Developing
EDAN70 0fettmedknaoz2023-11-29
bionlp-st-ge-2016-reference-tees 14.6 KNico Colic Nico Colic2023-11-29Released
bionlp-st-ge-2016-test-tees 9.17 KNico ColicNico Colic2023-11-29Released
Biotea 894 KL. Garcia2023-11-24Developing
GlycoBiology-NCBITAXON 32.7 Kshuo502023-11-29Testing
LitCovid-PubTatorCentral 4.64 Kzebet2023-11-27Released
bayaba 7Nakyolee2023-11-29
GENIAcorpus 78.9 KGENIA ProjectYue Wang2023-11-29Released
LitCoin-Disease-MeSH 3.56 Kyucca2023-11-29Testing
PMA_Manual 204Stefano Rensitherightstef2023-11-27Developing
PA-LLM 0Nico Colic2024-01-19Developing
KoreanFN-example 6Jin-Dong Kim2023-11-29Developing
CoMAGC 1.53 KLee et alHee-Jin Lee2023-11-24Released
Inflammaging 23.4 Malo332023-11-24Released
biomarkers 857 Kalo332023-11-24
PGR-UNK 91Diana Sousadpavot2023-11-29Developing
PGR-NEG 23Diana Sousadpavot2023-11-28Developing
PGR-FAL 128Diana Sousadpavot2023-11-29Developing
Wangshuguang 603wangshuguangwangshuguang2023-11-29Released