ST Pipeline: an automated pipeline for spatial mapping of unique transcripts
ST Pipeline: an automated pipeline for spatial mapping of unique transcripts
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DOI：
10.1093/bioinformatics/btx211
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发表时间：
2017-08-15
期刊：
影响因子：
5.8
通讯作者：
Stahl, Patrik L.
中科院分区：
文献类型：
--
作者：
Navarro, Jose Fernandez;Sjostrand, Joel;Stahl, Patrik L.
动机：近年来，我们目睹了基于 RNA-seq 的新型转录组学分析技术的增长。空间转录组学是一种基于 RNA-seq 的新型技术，可对组织切片中的转录本进行空间映射。空间分辨率增加了额外的复杂性，这需要开发新的工具和算法来实现高效、准确的数据处理。结果：在这里，我们提出了一个管道，可以自动高效地处理从空间转录组学实验中获得的 RNA-seq 数据，以生成用于下游分析的数据集。
Motivation: In recent years we have witnessed an increase in novel RNA-seq based techniques for transcriptomics analysis. Spatial transcriptomics is a novel RNA-seq based technique that allows spatial mapping of transcripts in tissue sections. The spatial resolution adds an extra level of complexity, which requires the development of new tools and algorithms for efficient and accurate data processing.Results: Here we present a pipeline to automatically and efficiently process RNA-seq data obtained from spatial transcriptomics experiments to generate datasets for downstream analysis.