Toward better drug discovery with knowledge graph
Drug discovery is the process of new drug identification. This process is driven by the
increasing data from existing chemical libraries and data banks. The knowledge graph is …
increasing data from existing chemical libraries and data banks. The knowledge graph is …
Using phecodes for research with the electronic health record: from PheWAS to PheRS
L Bastarache - Annual review of biomedical data science, 2021 - annualreviews.org
Electronic health records (EHRs) are a rich source of data for researchers, but extracting
meaningful information out of this highly complex data source is challenging. Phecodes …
meaningful information out of this highly complex data source is challenging. Phecodes …
[HTML][HTML] Building a knowledge graph to enable precision medicine
Developing personalized diagnostic strategies and targeted treatments requires a deep
understanding of disease biology and the ability to dissect the relationship between …
understanding of disease biology and the ability to dissect the relationship between …
[PDF][PDF] VarSome: the human genomic variant search engine
C Kopanos, V Tsiolkas, A Kouris, CE Chapple… - …, 2019 - academic.oup.com
VarSome. com is a search engine, aggregator and impact analysis tool for human genetic
variation and a community-driven project aiming at sharing global expertise on human …
variation and a community-driven project aiming at sharing global expertise on human …
[HTML][HTML] Generalisable long COVID subtypes: findings from the NIH N3C and RECOVER programmes
Background Stratification of patients with post-acute sequelae of SARS-CoV-2 infection
(PASC, or long COVID) would allow precision clinical management strategies. However …
(PASC, or long COVID) would allow precision clinical management strategies. However …
OMIM. org: leveraging knowledge across phenotype–gene relationships
JS Amberger, CA Bocchini, AF Scott… - Nucleic acids …, 2019 - academic.oup.com
Abstract For over 50 years Mendelian Inheritance in Man has chronicled the collective
knowledge of the field of medical genetics. It initially cataloged the known X-linked …
knowledge of the field of medical genetics. It initially cataloged the known X-linked …
Expansion of the Human Phenotype Ontology (HPO) knowledge base and resources
Abstract The Human Phenotype Ontology (HPO)—a standardized vocabulary of phenotypic
abnormalities associated with 7000+ diseases—is used by thousands of researchers …
abnormalities associated with 7000+ diseases—is used by thousands of researchers …
ClinVar: improving access to variant interpretations and supporting evidence
MJ Landrum, JM Lee, M Benson, GR Brown… - Nucleic acids …, 2018 - academic.oup.com
Abstract ClinVar (https://www. ncbi. nlm. nih. gov/clinvar/) is a freely available, public archive
of human genetic variants and interpretations of their significance to disease, maintained at …
of human genetic variants and interpretations of their significance to disease, maintained at …
PhenoScore quantifies phenotypic variation for rare genetic diseases by combining facial analysis with other clinical features using a machine-learning framework
AJM Dingemans, M Hinne, KMG Truijen, L Goltstein… - Nature Genetics, 2023 - nature.com
Several molecular and phenotypic algorithms exist that establish genotype–phenotype
correlations, including facial recognition tools. However, no unified framework that …
correlations, including facial recognition tools. However, no unified framework that …
Open Targets Platform: new developments and updates two years on
D Carvalho-Silva, A Pierleoni, M Pignatelli… - Nucleic acids …, 2019 - academic.oup.com
Abstract The Open Targets Platform integrates evidence from genetics, genomics,
transcriptomics, drugs, animal models and scientific literature to score and rank target …
transcriptomics, drugs, animal models and scientific literature to score and rank target …