SynEcoSys: a multifunctional platform of large-scale single-cell omics data analysis
SynEcoSys: a multifunctional platform of large-scale single-cell omics data analysis
Next generation sequencing technologies enable the analysis of the transcriptomes of individual cells, providing a higher resolution of gene expression and function at the single cell level. Various single-cell data are continuously generated every year, covering fields from scientific research to clinical development. The fast-growing public datasets are collected by distinctive platforms, which are designed to facilitate biological discoveries, disease diagnosis, and new treatments. However, these platforms are hard to meet the urgency of having a unified data integration pipeline to improve comparability between datasets. Here we present SynEcoSys, an online multifunctional platform for single-cell transcriptomic data analysis, visualization, and exploration. SynEcoSys by Singleron Biotechnologies currently provides a massive collection of publicly available single-cell sequencing dataset, involving 46,326,175 cells from 731 datasets across multiple platforms and species. All datasets are generated with a strict and uniform data analysis pipeline and cell marker-based manual annotation, thus facilitating more comprehensive and reliable data mining. SynEcoSys is available at: https://www.synecosys.com.
Veloso Ana、Fang Nan、Ye Jun、Li Bingyu、Zhang Xiaogang、Fan Jue、Zhang Yan、Chen Xuezhen、Duan Jiachen
生物科学研究方法、生物科学研究技术分子生物学细胞生物学
Veloso Ana,Fang Nan,Ye Jun,Li Bingyu,Zhang Xiaogang,Fan Jue,Zhang Yan,Chen Xuezhen,Duan Jiachen.SynEcoSys: a multifunctional platform of large-scale single-cell omics data analysis[EB/OL].(2025-03-28)[2025-05-23].https://www.biorxiv.org/content/10.1101/2023.02.14.528566.点此复制
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