Searching the RRID Resource Information Network
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://github.com/buenrostrolab/scPrinter
Proper Citation: scPrinter (RRID:SCR_026644)
Description: Softwre framework for multi-scale footprinting analysis of single-cell ATAC-seq data. Designed to identify and visualize regulatory elements that drive cell-type-specific gene expression programs through footprinting. Uses deep learning model to predict activity of transcription factors from single-cell ATAC-seq data. Provides suite of visualization tools to explore calculated multi-scale footprints.
Resource Type: data processing software, software application, data analysis software, source code, software resource
Defining Citation: PMID:39843737
Keywords: multi-scale footprinting analysis, single-cell ATAC-seq data, identify and visualize regulatory elements, predict activity of transcription factors,
Expand AllWe found {{ ctrl2.mentions.all_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 scPrinter.
No alerts have been found for scPrinter.
Source: SciCrunch Registry
