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

January 4, 2018 Leave a comment 4,544 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...

Getting the most out of RNA-seq data analysis

November 10, 2015 Leave a comment 17,111 Views

A common research goal in transcriptome projects is to find genes that are differentially expressed in different phenotype classes. Biologists might wish to validate such gene candidates experimentally, or use them for downstream systems biology analysis. Producing a coherent differential ...

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Tag Archives: University of Malaya

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

Getting the most out of RNA-seq data analysis

GiRAFR – gRNA detection and annotation in single-cell CRISPR screens

RNA sequencing reaveals novel intracellular signaling mechanisms that promote melanoma growth

AAV-Perturb-seq – adeno-associated virus (AAV)-mediated direct in vivo single-cell CRISPR screening

capTEs – Cas9-assisted profiling transposable elements expression sequencing

eSPET-seq – genome-wide probing of eukaryotic nascent RNA structure

DISCERN – deep single-cell expression reconstruction for improved cell clustering and cell subtype and state detection

Advancements in genome sequencing propel global RNA sequencing market growth to 2030