Sensitive, high-throughput single-cell RNA-Seq reveals within-clonal transcript-correlations in yeast populations
Reference: Sensitive, high-throughput single-cell RNA-Seq reveals within-clonal transcript-correlations in yeast populations. Mariona Nadal-Ribelles#, Saiful Islam#, Pablo Latorre#, Michelle Nguyen, Eulàlia de Nadal, Francesc Posas, Wu Wei* and Lars M. Steinmetz*. submitted
Sequence data: Sequence data has been submitted to GEO with accession number GSE88888. Supplementary Data: Supplementary Data Computer code: Raw data process: Extract UMI sequence and polyGs and put them into read name [ download here ] Additional References: Extensive transcriptional heterogeneity revealed by isoform profiling., Vicent Pelechano+, Wu Wei+ and Lars M. Steinmetz*. Nature 497, 127-31 May 2,2013 Nature Widespread Co-translational RNA Decay Reveals Ribosome Dynamics., Vicent Pelechano+, Wu Wei+ and Lars M. Steinmetz*. Cell 161, 1246-1248 June,2015 Cell Bidirectional promoters generate pervasive transcription in yeast, Zhenyu Xu+, Wu Wei+, Julien Gagneur, Fabiana Perocchi, Sandra Clauder-Münster, Jurgi Camblong, Elisa Guffanti, Françoise Stutz, Wolfgang Huber and Lars M. Steinmetz*. Nature 457, 1033-1037 January 25,2009 Nature