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Nucleic Acids Res ; 47(21): e133, 2019 12 02.
Artigo em Inglês | MEDLINE | ID: mdl-31294801

RESUMO

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.


Assuntos
RNA Citoplasmático Pequeno/genética , Análise de Sequência de RNA , Análise de Célula Única , Software , Biologia Computacional , Bases de Dados Genéticas , Humanos
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