Searching across hundreds of databases
Are you sure you want to leave this community? Leaving the community will revoke any permissions you have been granted in this community.
URL: https://jump-cellpainting.broadinstitute.org
Proper Citation: JUMP Cell Painting Consortium (RRID:SCR_021868)
Description: Consortium is creating new data driven approach to drug discovery based on cellular imaging, image analysis, and high dimensional data analytics. Creates public data set to validate and scale up this image based drug discovery strategy. By coordinating assay procedures across partners, future created data will be well matched. Aims to make cell images as computable as genomes and transcriptomes.
Synonyms: JUMP-Cell Painting Consortium
Resource Type: portal, consortium, organization portal, data or information resource
Keywords: creating new data, drug discovery, cellular imaging, image analysis, high dimensional data analytics,
Expand Allhas parent organization |
We found {{ ctrl2.mentions.total_count }} mentions in open access literature.
We have not found any literature mentions for this resource.
We are searching literature mentions for this resource.
Most recent articles:
{{ mention._source.dc.creators[0].familyName }} {{ mention._source.dc.creators[0].initials }}, et al. ({{ mention._source.dc.publicationYear }}) {{ mention._source.dc.title }} {{ mention._source.dc.publishers[0].name }}, {{ mention._source.dc.publishers[0].volume }}({{ mention._source.dc.publishers[0].issue }}), {{ mention._source.dc.publishers[0].pagination }}. (PMID:{{ mention._id.replace('PMID:', '') }})
Check
for all resource mentions.
A list of researchers who have used the resource and an author search tool
A list of researchers who have used the resource and an author search tool. This is available for resources that have literature mentions.
No rating or validation information has been found for JUMP Cell Painting Consortium.
No alerts have been found for JUMP Cell Painting Consortium.
Source: SciCrunch Registry
Welcome to the Neuroscience Information Framework Project, designed to serve the biomedical research community. NIF maintains the largest searchable collection of neuroscience data, the largest catalog of biomedical resources, and the largest ontology for neuroscience on the web. We welcome all feedback and suggestions and are actively looking for resource providers to make their resources accessible through NIF. Learn about the tools available to help you share your data and discover a dynamic inventory of Web-based neuroscience resources.
