HTCA: a database with an in-depth characterization of the single-cell human transcriptome

• Main Authors: Pan, Lu, Shan, Shaobo, Tremmel, Roman, Li, Weiyuan, Liao, Zehuan, Shi, Hangyu, Chen, Qishuang, Zhang, Xiaolu, Li, Xuexin
• Other Authors: School of Biological Sciences
• Format: Article
• Language: English
• Published: 2023
• Subjects: Science::Biological sciences; HTCA Database; Gene Ontology
• Online Access: https://hdl.handle.net/10356/169452
• Institution: Nanyang Technological University

Single-cell RNA-sequencing (scRNA-seq) is one of the most used single-cell omics in recent decades. The exponential growth of single-cell data has immense potential for large-scale integration and in-depth explorations that are more representative of the study population. Efforts have been made to c...