Single-Cell Signature Explorer for comprehensive visualization of single cell signatures across scRNA-seq datasets.
Nucleic Acids Res
; 47(21): e133, 2019 12 02.
Article
in En
| MEDLINE
| ID: mdl-31294801
The momentum of scRNA-seq datasets prompts for simple and powerful tools exploring their meaningful signatures. Here we present Single-Cell_Signature_Explorer (https://sites.google.com/site/fredsoftwares/products/single-cell-signature-explorer), the first method for qualitative and high-throughput scoring of any gene set-based signature at the single cell level and its visualization using t-SNE or UMAP. By scanning datasets for single or combined signatures, it rapidly maps any multi-gene feature, exemplified here with signatures of cell lineages, biological hallmarks and metabolic pathways in large scRNAseq datasets of human PBMC, melanoma, lung cancer and adult testis.
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Software
/
Sequence Analysis, RNA
/
RNA, Small Cytoplasmic
/
Single-Cell Analysis
Type of study:
Qualitative_research
Limits:
Humans
Language:
En
Journal:
Nucleic Acids Res
Year:
2019
Type:
Article
Affiliation country:
France