Overcome analytical bottlenecks in RNA-Seq experiments with limited number of replicates and low sequencing coverage

January 4, 2018 Leave a comment 3,516 Views

In current statistical methods for calling differentially expressed genes in RNA-Seq experiments, the assumption is that an adjusted observed gene count represents an unknown true gene count...

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Tag Archives: Sequencing coverage

Overcome analytical bottlenecks in RNA-Seq experiments with limited number of replicates and low sequencing coverage

scRNA-Seq reveals a new type of bone cell that may uncover therapeutic targets for a range of skeletal diseases

DEBKS – a tool to detect differentially expressed circular RNA

Single-cell RNA and protein expression in relation to cell cycle progression

Evaluating capture sequence performance for single-cell CRISPR activation experiments

Seven Bridges Selected by Pfizer to Support Data Management Solution for Single-Cell RNA Sequencing Data

Single-cell mapper (scMappR) – using scRNA-seq to infer the cell-type specificities of differentially expressed genes

Featured RNA-Seq Job – Staff Bioinformatics Scientist, RNA-Seq