Department of Biotechnology, Graduate School of Agricultural and Life Sciences, The University of Tokyo, Bunkyo-ku, Tokyo, 113-8657, Japan.
Laboratory for Bioinformatics Research RIKEN Center for Biosystems Dynamics Research, Wako, Saitama, 351-0198, Japan.
Genome Biol. 2019 Feb 11;20(1):31. doi: 10.1186/s13059-019-1639-x.
Recent technical improvements in single-cell RNA sequencing (scRNA-seq) have enabled massively parallel profiling of transcriptomes, thereby promoting large-scale studies encompassing a wide range of cell types of multicellular organisms. With this background, we propose CellFishing.jl, a new method for searching atlas-scale datasets for similar cells and detecting noteworthy genes of query cells with high accuracy and throughput. Using multiple scRNA-seq datasets, we validate that our method demonstrates comparable accuracy to and is markedly faster than the state-of-the-art software. Moreover, CellFishing.jl is scalable to more than one million cells, and the throughput of the search is approximately 1600 cells per second.
单细胞 RNA 测序(scRNA-seq)的最新技术进步使得对转录组进行大规模平行分析成为可能,从而促进了对多细胞生物广泛细胞类型的大规模研究。在此背景下,我们提出了 CellFishing.jl,这是一种新的方法,用于在图谱规模的数据集上搜索相似细胞,并以高精度和高通量检测查询细胞中值得注意的基因。使用多个 scRNA-seq 数据集,我们验证了我们的方法与最先进的软件相比具有相当的准确性,并且速度明显更快。此外,CellFishing.jl 可扩展到超过一百万的细胞,搜索的吞吐量约为每秒 1600 个细胞。