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Name TDescription# Ann.AuthorMaintainerUpdated_atStatus

61-80 / 316 show all
cancer_precision for gene mutaiton and cancer therapy8serenity2023-11-29Testing
c_corpus Documents included in the c_corpus: https://github.com/SMAFIRA/c_corpus/blob/master/SMAFIRAc_0.4_Annotations.csv107 K2023-11-29Released
CellFinder CellFinder corpus4.75 KMariana Neves, Alexander Damaschun, Andreas Kurtz, Ulf LeserMariana Neves2023-11-27Released
CHEMDNER-training-test The training subset of the CHEMDNER corpus29.4 KMartin Krallinger et al.Jin-Dong Kim2023-11-27Testing
CoGe_Citation_Annotations Annotated PMC abstracts+full articles, that cite the "CoGe" papers (PMID: 18952863, 18269575). Total Num Citations: 165 Total Num Unique Citations: 141 Total Num Abstracts: 165 Total Num Whole Articles: 165 0Heather Lenthclent2023-11-29Uploading
Colil Colil (Comments on Literature in Literature) is a search service for citation contexts utilized in the biomedical domain. Colil searches for a cited paper in the Colil database and then returns a list of the citation contexts for it and its relevant papers based on co-citations.3.34 KDBCLSToyofumi Fujiwara2023-11-28Testing
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
Computational_Biology 0Sophie Nam2023-11-29
consensus_PMA_Age_Indications 1.7 Klaurenc2023-11-28Beta
CORD-19_HIRAKI HIRAKI Annotation for CORD-192.98 KAikoHIRAKI2023-11-29Testing
Covid19_manual_annotation 5.1 KAikoHIRAKI2023-11-29Developing
craft-ca-core-dev Development data for CRAFT CA shared task, core concepts only. This project contains the development (training) annotations for the Concept Annotation task of the CRAFT Shared Task 2019. This particular set of concept annotations is the "core" set. See the task description for details, but this set contains only annotations to concepts that appear in the original 10 Open Biomedical Ontologies used for annotation. (That is to say, it does not contain any annotations to extension classes).59.8 KUniversity of Colorado Anschutz Medical Campuscraft-st2023-11-29Released
craft-ca-core-ex-dev Development data for CRAFT CA shared task, core concepts + EXTENSIONS. This project contains the development (training) annotations for the Concept Annotation task of the CRAFT Shared Task 2019. This particular set of concept annotations is the "core+extensions" set. See the task description for details, but this set contains annotations to concepts that appear in the original 10 Open Biomedical Ontologies used for annotation PLUS annotations to extension classes created using the core concepts.90.2 KUniversity of Colorado Anschutz Medical Campuscraft-st2023-11-29Released
CyanoBase Cyanobacteria are prokaryotic organisms that have served as important model organisms for studying oxygenic photosynthesis and have played a significant role in the Earthfs history as primary producers of atmospheric oxygen. Publication: http://www.aclweb.org/anthology/W12-24301.1 KKazusa DNA Research Institute and Database Center for Life Science (DBCLS)Yue Wang2023-11-26Released
dailymed_spl Annotation of indications from DailyMed structured product labels0micheldumontier2023-11-29Developing
disease_gene_microbe_small Small version (48 abstract that mention both Crohns and S. aureus) for development purposes Abbreviation: dgm Content: annotated abstracts on Crohn’s disease or on on Staphylococcus aureus (according to the jensenlab.org indexing resources) Entity types: (three for a start, organisms (NCBI Taxonomy taxa), disease (Disease Ontology terms), human genes (ENSEMBL proteins) Aim: Explore indirect associations of diseases to microbial species in this corpus via gene co-mentions536evangelos2023-11-27Testing
Disease_Markers 0Sophie Nam2023-11-29
disease_ontology_term_microbe 5evangelos2023-11-29Developing
DLUT931 DLUT NLP Lab.Test our event extration result for 16 GE task.4.57 KDLUT9312023-11-30Testing
DocumentLevelAnnotationSample A sample project for document level annotation47Jin-Dong Kim2023-11-29Testing
Name T# Ann.AuthorMaintainerUpdated_atStatus

61-80 / 316 show all
cancer_precision 8serenity2023-11-29Testing
c_corpus 107 K2023-11-29Released
CellFinder 4.75 KMariana Neves, Alexander Damaschun, Andreas Kurtz, Ulf LeserMariana Neves2023-11-27Released
CHEMDNER-training-test 29.4 KMartin Krallinger et al.Jin-Dong Kim2023-11-27Testing
CoGe_Citation_Annotations 0Heather Lenthclent2023-11-29Uploading
Colil 3.34 KDBCLSToyofumi Fujiwara2023-11-28Testing
CoMAGC 1.53 KLee et alHee-Jin Lee2023-11-24Released
Computational_Biology 0Sophie Nam2023-11-29
consensus_PMA_Age_Indications 1.7 Klaurenc2023-11-28Beta
CORD-19_HIRAKI 2.98 KAikoHIRAKI2023-11-29Testing
Covid19_manual_annotation 5.1 KAikoHIRAKI2023-11-29Developing
craft-ca-core-dev 59.8 KUniversity of Colorado Anschutz Medical Campuscraft-st2023-11-29Released
craft-ca-core-ex-dev 90.2 KUniversity of Colorado Anschutz Medical Campuscraft-st2023-11-29Released
CyanoBase 1.1 KKazusa DNA Research Institute and Database Center for Life Science (DBCLS)Yue Wang2023-11-26Released
dailymed_spl 0micheldumontier2023-11-29Developing
disease_gene_microbe_small 536evangelos2023-11-27Testing
Disease_Markers 0Sophie Nam2023-11-29
disease_ontology_term_microbe 5evangelos2023-11-29Developing
DLUT931 4.57 KDLUT9312023-11-30Testing
DocumentLevelAnnotationSample 47Jin-Dong Kim2023-11-29Testing