In single-cell RNA sequencing (scRNA-seq) studies, only a small fraction of the transcripts
present in each cell are sequenced. This leads to unreliable quantification of genes with low …

Single-cell RNA sequencing (scRNA-seq) can be used to characterize variation in gene
expression levels at high resolution. However, the sources of experimental noise in scRNA …

The emerging single-cell RNA sequencing (scRNA-seq) technologies enable the
investigation of transcriptomic landscapes at the single-cell resolution. ScRNA-seq data …

Background: Single cell RNA sequencing (scRNA-seq) has rapidly gained popularity for
profiling transcriptomes of hundreds to thousands of single cells. This technology has led to …

Single-cell RNA-seq technologies require library preparation prior to sequencing. Here, we
present the first report to compare the cheaper BGISEQ-500 platform to the Illumina HiSeq …

The recent rapid spread of single cell RNA sequencing (scRNA-seq) methods has created a
large variety of experimental and computational pipelines for which best practices have not …

Large-scale sequencing of RNA from individual cells can reveal patterns of gene, isoform
and allelic expression across cell types and states. However, current short-read single-cell …

Background The single cell RNA sequencing (scRNA-seq) technique begin a new era by
allowing the observation of gene expression at the single cell level. However, there is also a …

Background Single-cell RNA-sequencing (scRNA-seq) experiments typically analyze
hundreds or thousands of cells after amplification of the cDNA. The high throughput is made …

Single-cell combinatorial indexing RNA sequencing (sci-RNA-seq) is a powerful method for
recovering gene expression data from an exponentially scalable number of individual cells …