Asc-Seurat: analytical single-cell Seurat-based web application

Asc-Seurat: analytical single-cell Seurat-based web application

Background: Single-cell RNA sequencing (scRNA-seq) has revolutionized the study of transcriptomes, arising as a powerful tool for discovering and characterizing cell types and their developmental trajectories. However, scRNA-seq analysis is complex, requiring a continuous, iterative process to refin...

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Bibliographic Details
Main Authors: Almeida, F.M (Author), Balmant, K.M (Author), Conde, D. (Author), Dervinis, C. (Author), Kirst, M. (Author), Pappas, G.J., Jr (Author), Pereira, W.J (Author), Schmidt, H.W (Author), Triozzi, P.M (Author)
Format: Article
Language:English
Published: BioMed Central Ltd 2021
Subjects:
Cell types
cluster analysis
Cluster Analysis
Cytology
Data handling
Gene expression
gene expression profiling
Gene Expression Profiling
Gene Ontology
Genes expression
Information analysis
Leukocytes, Mononuclear
mononuclear cell
Quality control
RNA
scRNA-seq
sequence analysis
Sequence Analysis, RNA
Sequencing analysis
single cell analysis
Single cells
Single-Cell Analysis
Single-cell RNA sequencing
software
Software
Transcriptomes
Web application
WEB application
Web applications
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