Janet Piñero
Postdoctoral Researcher
SEEK ID: https://fairdomhub.org/people/1603
Location:
Spain
ORCID:
https://orcid.org/0000-0003-1244-7654
Joined: 9th Apr 2021
Expertise: Data Integration, Text Mining, Machine Learning, Data mining
Tools: DisGeNET
Their tagsRelated items
The Disease Maps Project is designed as a large-scale community effort. It is a network of groups that work together in order to better understand disease mechanisms. The project exchanges best practices, share information, develop tools to make it easier for all the involved groups to achieve their goals.
Projects: COVID-19 Disease Map
Web page: https://disease-maps.org
Here we share resources and best practices to develop a disease map for COVID-19. The project is progressing as a broad community-driven effort. We aim to establish a knowledge repository on virus-host interaction mechanisms specific to the SARS-CoV-2. The COVID-19 Disease Map is an assembly of molecular interaction diagrams established based on literature evidence.
Programme: Disease Maps
Public web page: http://doi.org/10.17881/covid19-disease-map
In this investigation, we aim to develop automatic workflows to pinpoint drug targets carrying genomic variants at high frequency in the population
Submitter: Janet Piñero
Studies: Pharmacogenomics of drugs targeting the COVID-19 disease map
Assays: No Assays
In this study, we developed a workflow to compute a modified version of the Cumulative Allele Probability (CAP) for genes in the COVID-19 disease map and the “Drug Risk Probability” (DRP) score for drugs targeting genes in the map (Schärfe et al., 2017). The CAP score considers the number of pharmacogenomic variants and their frequency in the population for a specific gene. The DRP score combines the CAP scores for all drug target genes for a specific drug. For this, we use allelic frequencies ...
