URL: https://github.com/dgrun/RaceID
Proper Citation: RaceID (RRID:SCR_017045)
Description: Algorithm for identification of rare and abundant cell types from single cell transcriptome data. Based on transcript counts obtained with unique molecular identifies. Used for discovering rare cell types and corresponding marker genes in healthy and diseased organs. Operating system Unix/Linux, Mac OS, Windows.
Synonyms: RaceID3, RaceID2
Resource Type: software application, data analysis software, data processing software, software resource, algorithm resource
Defining Citation: PMID:26287467, PMID:27345837
Keywords: inference, cell, type, single, RNAseq, data, sequencing, rare, abundant, transcriptome, marker, gene, organ
Expand Allis listed by |
|
is related to |
|
is related to |
|
works with |
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:', '') }})
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 RaceID.
No alerts have been found for RaceID.
Source: SciCrunch Registry