Add to ORKGAnalysis of single-cell RNA-seq data begins with the pre-processing of reads to generate count matrices. We investigate algorithm choices for the challenges of pre-processing, and describe a workflow that balances efficiency and accuracy. Our workflow is based on the kallisto and bustools programs, and is near-optimal in speed and memory. The workflow is modular, and we demonstrate its flexibility by showing how it can be used for RNA velocity analyses
Single-cell RNA sequencing (scRNA-seq) is widely used to profile the transcriptome of individual cel...
Abstract RNA sequencing (RNA-seq) is a genomic approach for the detection and quantitative analysis ...
RNA-sequencing, commonly referred to as RNA-seq, is the most recently developed method for the analy...
In recent years, single-cell measurement technologies have greatly advanced and offer a new approach...
We compare and benchmark the two lightweight-mapping tools that have been developed for pre-processi...
BACKGROUND: Single-cell RNA-sequencing (scRNA-seq) technologies and associated analysis methods have...
Summary: Single-cell RNA sequencing data require several processing procedures to arrive at interpre...
The recent development of single-cell RNA sequencing has deepened our understanding of the cell as a...
Computational analysis of single-cell RNA-sequencing data. Scripts numbered by double-digits form...
The Barcode-UMI-Set format (BUS) is a recently developed format for representing pseudoalignments of...
The Barcode-UMI-Set format (BUS) is a recently developed format for representing pseudoalignments of...
Single-cell RNA sequencing (scRNA-seq) is widely used to profile the transcriptome of individual cel...
Single-cell RNA sequencing (scRNA-seq) is widely used to profile the transcriptome of individual cel...
Single cell RNA-sequencing (scRNA-seq) technology has undergone rapid development in recent years, l...
RNA sequencing (RNA-seq) is a genomic approach for the detection and quantitative analysis of messen...
Single-cell RNA sequencing (scRNA-seq) is widely used to profile the transcriptome of individual cel...
Abstract RNA sequencing (RNA-seq) is a genomic approach for the detection and quantitative analysis ...
RNA-sequencing, commonly referred to as RNA-seq, is the most recently developed method for the analy...
In recent years, single-cell measurement technologies have greatly advanced and offer a new approach...
We compare and benchmark the two lightweight-mapping tools that have been developed for pre-processi...
BACKGROUND: Single-cell RNA-sequencing (scRNA-seq) technologies and associated analysis methods have...
Summary: Single-cell RNA sequencing data require several processing procedures to arrive at interpre...
The recent development of single-cell RNA sequencing has deepened our understanding of the cell as a...
Computational analysis of single-cell RNA-sequencing data. Scripts numbered by double-digits form...
The Barcode-UMI-Set format (BUS) is a recently developed format for representing pseudoalignments of...
The Barcode-UMI-Set format (BUS) is a recently developed format for representing pseudoalignments of...
Single-cell RNA sequencing (scRNA-seq) is widely used to profile the transcriptome of individual cel...
Single-cell RNA sequencing (scRNA-seq) is widely used to profile the transcriptome of individual cel...
Single cell RNA-sequencing (scRNA-seq) technology has undergone rapid development in recent years, l...
RNA sequencing (RNA-seq) is a genomic approach for the detection and quantitative analysis of messen...
Single-cell RNA sequencing (scRNA-seq) is widely used to profile the transcriptome of individual cel...
Abstract RNA sequencing (RNA-seq) is a genomic approach for the detection and quantitative analysis ...
RNA-sequencing, commonly referred to as RNA-seq, is the most recently developed method for the analy...