转录组
生物
计算生物学
单细胞分析
单细胞测序
仿形(计算机编程)
基因表达谱
基因
细胞
遗传学
计算机科学
表型
基因表达
外显子组测序
操作系统
作者
Matilde Immacolata Conte,Azahara Fuentes-Trillo,Cecilia Domínguez Conde
标识
DOI:10.1016/j.tig.2023.10.003
摘要
Recent technological and algorithmic advances enable single-cell transcriptomic analysis with remarkable depth and breadth. Nonetheless, a persistent challenge is the compromise between the ability to profile high numbers of cells and the achievement of full-length transcript coverage. Currently, the field is progressing and developing new and creative solutions that improve cellular throughput, gene detection sensitivity and full-length transcript capture. Furthermore, long-read sequencing approaches for single-cell transcripts are breaking frontiers that have previously blocked full transcriptome characterization. We here present a comprehensive overview of available options for single-cell transcriptome profiling, highlighting the key advantages and disadvantages of each approach.
科研通智能强力驱动
Strongly Powered by AbleSci AI