SCInter: A comprehensive single-cell transcriptome integration database for human and mouse.

ABSTRACT: Single-cell RNA sequencing (scRNA-seq), which profiles gene expression at the cellular level, has effectively explored cell heterogeneity and reconstructed developmental trajectories. With the increasing research on diseases and biological processes, scRNA-seq datasets are accumulating rapidly, highlighting the urgent need for collecting and processing these data to support comprehensive and effective annotation and analysis. Here, we have developed a comprehensive Single-Cell transcriptome integration database for human and mouse (SCInter, https://bio.liclab.net/SCInter/index.php), which aims to provide a manually curated database that supports the provision of gene expression profiles across various cell types at the sample level. The current version of SCInte

SUBMITTER: Zhao J 

PROVIDER: S-EPMC10731004 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature