School of Computational Science and Engineering, Georgia Institute of Technology, Atlanta, GA, USA.
Department of Data Science, Dana-Farber Cancer Institute, Boston, MA, USA.
Nat Commun. 2021 Nov 12;12(1):6566. doi: 10.1038/s41467-021-26865-w.
As sequencing depth of chromatin studies continually grows deeper for sensitive profiling of regulatory elements or chromatin spatial structures, aligning and preprocessing of these sequencing data have become the bottleneck for analysis. Here we present Chromap, an ultrafast method for aligning and preprocessing high throughput chromatin profiles. Chromap is comparable to BWA-MEM and Bowtie2 in alignment accuracy and is over 10 times faster than traditional workflows on bulk ChIP-seq/Hi-C profiles and than 10x Genomics' CellRanger v2.0.0 pipeline on single-cell ATAC-seq profiles.
随着染色质研究的测序深度不断加深,以实现对调控元件或染色质空间结构的敏感分析,这些测序数据的对齐和预处理已成为分析的瓶颈。在这里,我们介绍 Chromap,这是一种用于对齐和预处理高通量染色质谱的超快方法。Chromap 在对齐准确性方面可与 BWA-MEM 和 Bowtie2 相媲美,并且在 bulk ChIP-seq/Hi-C 谱和 10x Genomics 的 CellRanger v2.0.0 管道的单细胞 ATAC-seq 谱上的速度比传统工作流程快 10 多倍。