A framework tool to analyze and visualize single-cell RNA-seq data. The bigSCale functions support clustering, differential expression analysis, phenotype, pseudo-time analysis, inference of gene regulatory networks (GRNs), dataset minimizing. The algorithm estimates models using large sample sizes using a directed convolution strategy to estimate models and cope with noise. Alternative name: bigSCale2
Gene expression; RNA-seq
Iacono Giovanni, Mereu Elisabetta, Guillaumet-Adkins Amy, Corominas Roser, Cuscó Ivon, Rodríguez-Esteban Gustavo, Gut Marta, Pérez-Jurado Luis Alberto, Gut Ivo, Heyn Holger "bigSCale: an analytical framework for big-scale single-cell data" bioRxiv https://doi.org/10.1101/gr.230771.117
Iacono G, Massoni-Badosa R, Heyn H "Single-cell transcriptomics unveils gene regulatory network plasticity." Genome Biol. 2019 Jun 4;20(1):110. https://doi.org/10.1186/s13059-019-1713-4
PMID: 31159854
PMCID: PMC6547541
If you find errors, please report here.
SECTIONS
TutorialsFind thousands of Bioinformatics and Life Science software tools and databases in the newly launched
Ads