ASAP: a web-based platform for the analysis and interactive visualization of single-cell RNA-seq data.

ABSTRACT:

Motivation

Single-cell RNA-sequencing (scRNA-seq) allows whole transcriptome profiling of thousands of individual cells, enabling the molecular exploration of tissues at the cellular level. Such analytical capacity is of great interest to many research groups in the world, yet these groups often lack the expertise to handle complex scRNA-seq datasets.

Results

We developed a fully integrated, web-based platform aimed at the complete analysis of scRNA-seq data post genome alignment: from the parsing, filtering and normalization of the input count data files, to the visual representation of the data, identification of cell clusters, differentially expressed genes (including cluster-specific marker genes), and functional gene set enrichment. This Automated Single-cell Analysis P

SUBMITTER: Gardeux V 

PROVIDER: S-EPMC5870842 | biostudies-literature | 2017 Oct

REPOSITORIES: biostudies-literature