Cancer Genomics Cloud Pilot User Talks: Preprocessing, alignment, and quantification of thousands of RNA-sequencing samples in the cloud for a minimal cost

May 23, 2017 Leave a comment 3,958 Views

Cancer Genomics Cloud Pilot User Talks: Preprocessing, alignment, and quantification of thousands of RNA-sequencing samples in the cloud for a minimal cost Stephen Piccolo – Brigham Young University, Provo, UT, United States

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Cancer Genomics Cloud Pilot User Talks: Preprocessing, alignment, and quantification of thousands of RNA-sequencing samples in the cloud for a minimal cost

scMEB – a fast and clustering-independent method for detecting differentially expressed genes in single-cell RNA-seq data

Researchers weave deeper understanding of diverse ancestry and gene expression

ExpressAnalyst – a unified platform for RNA-sequencing analysis in non-model species

Celloscope – a probabilistic model for marker-gene-driven cell type deconvolution in spatial transcriptomics data

gExcite – a start-to-end framework for single-cell gene expression, hashing, and antibody analysis

RNA-Seq reveals orchids’ ability to grow on other plants independently evolved multiple times

New RNA sequencing method reveals bacterial reaction to antibiotics in five minutes