Optimized single-nucleus transcriptional profiling by combinatorial indexing
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 …
recovering gene expression data from an exponentially scalable number of individual cells …
Single-cell RNA counting at allele and isoform resolution using Smart-seq3
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 …
and allelic expression across cell types and states. However, current short-read single-cell …
SAVER: gene expression recovery for single-cell RNA sequencing
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 …
present in each cell are sequenced. This leads to unreliable quantification of genes with low …
Full-length RNA-seq from single cells using Smart-seq2
Emerging methods for the accurate quantification of gene expression in individual cells hold
promise for revealing the extent, function and origins of cell-to-cell variability. Different high …
promise for revealing the extent, function and origins of cell-to-cell variability. Different high …
[HTML][HTML] Gene length and detection bias in single cell RNA sequencing protocols
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 …
profiling transcriptomes of hundreds to thousands of single cells. This technology has led to …
Fast and accurate single-cell RNA-seq analysis by clustering of transcript-compatibility counts
Current approaches to single-cell transcriptomic analysis are computationally intensive and
require assay-specific modeling, which limits their scope and generality. We propose a …
require assay-specific modeling, which limits their scope and generality. We propose a …
Quantitative single-cell RNA-seq with unique molecular identifiers
Single-cell RNA sequencing (RNA-seq) is a powerful tool to reveal cellular heterogeneity,
discover new cell types and characterize tumor microevolution. However, losses in cDNA …
discover new cell types and characterize tumor microevolution. However, losses in cDNA …
Full-length single-cell RNA sequencing with smart-seq2
S Picelli - Single Cell Methods: Sequencing and Proteomics, 2019 - Springer
In the last few years single-cell RNA sequencing (scRNA-seq) has enabled the investigation
of cellular heterogeneity at the transcriptional level, the characterization of rare cell types as …
of cellular heterogeneity at the transcriptional level, the characterization of rare cell types as …
Tutorial: guidelines for the computational analysis of single-cell RNA sequencing data
Single-cell RNA sequencing (scRNA-seq) is a popular and powerful technology that allows
you to profile the whole transcriptome of a large number of individual cells. However, the …
you to profile the whole transcriptome of a large number of individual cells. However, the …
Transcript assembly and quantification by RNA-Seq reveals unannotated transcripts and isoform switching during cell differentiation
High-throughput mRNA sequencing (RNA-Seq) promises simultaneous transcript discovery
and abundance estimation,,. However, this would require algorithms that are not restricted …
and abundance estimation,,. However, this would require algorithms that are not restricted …