EPIG-Seq – extracting patterns and identifying co-expressed genes from RNA-Seq data

March 28, 2016 Leave a comment 3,785 Views

RNA sequencing (RNA-Seq) measures genome-wide gene expression. RNA-Seq data is count-based rendering normal distribution models for analysis inappropriate. Normalization of RNA-Seq data to transform the data has limitations which can adversely impact the analysis. Furthermore, there are a few count-based ...

FunPat – function-based pattern analysis on RNA-seq time series data

June 9, 2015 Leave a comment 10,139 Views

Dynamic expression data, nowadays obtained using high-throughput RNA sequencing, are essential to monitor transient gene expression changes and to study the dynamics of their transcriptional activity in the cell or response to stimuli. Several methods for data selection, clustering and ...

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Tag Archives: pattern analysis

EPIG-Seq – extracting patterns and identifying co-expressed genes from RNA-Seq data

FunPat – function-based pattern analysis on RNA-seq time series data

Researchers construct a high-resolution single-nucleus RNA sequencing (snRNA-seq) analysis of gene expression changes across all brain cell

Zebrahub – a single-embryo single-cell RNA sequencing atlas of zebrafish development

Post-doc position available – RNA Accelerator Inflammation and Immunology

BEETLE ATLAS – a definitive, tissue-specific transcriptomic resource based on RNA-Seq data for the Tribolium community

ElasticBLAST – accelerating sequence search via cloud computing

TileDB launches cross-language access to single-cell data

Researchers have developed an instrument-free single-cell RNA sequencing using a reversible hydrogel for cell-specific barcoding