ST Pipeline: an automated pipeline for spatial mapping of unique transcripts | Zendy

José Fernández Navarro | Zendy; J. Sjöstrand | Zendy; Fredrik Salmén | Zendy; Joakim Lundeberg | Zendy; Patrik L. Ståhl | Zendy

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ST Pipeline: an automated pipeline for spatial mapping of unique transcripts

Author(s) -

José Fernández Navarro,

J. Sjöstrand,

Fredrik Salmén,

Joakim Lundeberg,

Patrik L. Ståhl

Publication year - 2017

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btx211

Subject(s) - pipeline (software) , computer science , mit license , rna seq , data mining , transcriptome , process (computing) , spatial analysis , computational biology , license , biology , gene , gene expression , programming language , geography , genetics , operating system , remote sensing

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.

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