SAW: An efficient and accurate data analysis workflow for Stereo-seq spatial transcriptomics
IDSTT0000038(Source: STOmics DB)
STOmics technology:BGI Stereomics Stereo-Seq
Organism(s):
Data type:Raw sequence reads, Spatial transcriptomics
Sample scope:Multiisolate
Summary:The basic analysis steps of spatial transcriptomics involves obtaining gene expression information from both space and cells. This process requires a set of tools to be completed, and existing tools face performance issues when dealing with large data sets. These issues include computationally intensive spatial localization, RNA genome alignment, and excessive memory usage in large chip scenarios. These problems affect the applicability and efficiency of the process. To address these issues, a high-performance and accurate spatial transcriptomics data analysis workflow called Stereo-Seq Analysis Workflow (SAW) has been developed for the Stereo-Seq technology developed by BGI. This workflow includes mRNA spatial position reconstruction, genome alignment, gene expression matrix generation and clustering, and generate results files in a universal format for subsequent personalized analysis. The excutation time for the entire analysis process is ~148 minutes on 1G reads 1*1 cm chip test data, 1.8 times faster than unoptimized workflow.
Contributor(s):Fuxiang Zhao, Chun Gong, Leying Wang, Shengkang Li, Shuangsang Fang et al.
Publication(s):
- Fuxiang Zhao, Chun Gong, Leying Wang, Shengkang Li, Shuangsang Fang et al. SAW: An efficient and accurate data analysis workflow for Stereo-seq spatial transcriptomics.
Submitter:赵福祥(Fuxiang Zhao),深圳华大生命科学研究院
Release date:2023-06-10
Updated:2023-09-07
Statistics:
- Sample: 1
- Tissue Section: 1
Datasize:8.07GB
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