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Single-Cell Signature Explorer for comprehensive visualization of single cell signatures across scRNA-seq datasets.
Pont, Frédéric; Tosolini, Marie; Fournié, Jean J.
Affiliation
  • Pont F; Centre de Recherches en Cancérologie de Toulouse, INSERM UMR1037, Toulouse, France.
  • Tosolini M; Université Toulouse III Paul-Sabatier, Toulouse, France.
  • Fournié JJ; ERL 5294 CNRS, Toulouse, France.
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.
Subject(s)

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

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