Stratification of Gene Coexpression Patterns and GO Function Mining for a RNA-Seq Data Series

June 30, 2014 Leave a comment 11,364 Views

RNA-Seq is emerging as an increasingly important tool in biological research, and it provides the most direct evidence of the relationship between the physiological state and molecular changes in cells. A large amount of RNA-Seq data across diverse experimental conditions ...

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Stratification of Gene Coexpression Patterns and GO Function Mining for a RNA-Seq Data Series

spSeudoMap – cell type mapping of spatial transcriptomics using unmatched single-cell RNA-seq data

SoCube – an innovative end-to-end doublet detection algorithm for analyzing scRNA-seq data

Quantabio adds powerful bead booster chemistry to ultra-fast sparQ RNA-Seq HMR kit

SiT – spatial isoform transcriptomics

Analysis of single-cell rna-seq data

AllenDigger – spatial expression data visualization, spatial heterogeneity delineation, and single-cell registration based on the Allen Brain Atlas

New research identifies an inaccuracy in the single cell GENCODE gene model