作者: Yang Zhou , Hao Yu , Qiye Li , Rongqin Ke , Guojie Zhang
DOI: 10.1101/2020.04.13.038901
关键词: IRIS (biosensor) 、 In situ 、 Artificial intelligence 、 Pattern recognition 、 Barcode 、 Computer science 、 RNA 、 Gene 、 Nucleotide
摘要: The emerging in situ RNA sequencing technologies which can capture and amplify within the original tissues provides efficient solution for producing spatial expression map from dozens to thousands of genes. Most RNA-seq strategies developed recently infer patterns based on fluorescence signals images taken during sequencing. However, an automate convenient tool decoding image information is still absent. Here we present easy-to-use software named IRIS efficiently decode into nucleotide sequences. This record quality score signals. We also develop interactive R shiny app DAIBC data visualization. designed modules so that it could be easily extended compatible new technologies.