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

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

Femtosecond laser microdissection for isolation of regenerating C. elegans neurons for single-cell RNA sequencing