InterCellar enables interactive analysis and exploration of cell-cell communication in single-cell transcriptomic data.

ABSTRACT: Deciphering cell-cell communication is a key step in understanding the physiology and pathology of multicellular systems. Recent advances in single-cell transcriptomics have contributed to unraveling the cellular composition of tissues and enabled the development of computational algorithms to predict cellular communication mediated by ligand-receptor interactions. Despite the existence of various tools capable of inferring cell-cell interactions from single-cell RNA sequencing data, the analysis and interpretation of the biological signals often require deep computational expertize. Here we present InterCellar, an interactive platform empowering lab-scientists to analyze and explore predicted cell-cell communication without requiring programming skills. InterCellar guides the biological i

SUBMITTER: Interlandi M 

PROVIDER: S-EPMC8752611 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature