Evaluation of genetic demultiplexing of single|cell sequencing data ...

Evaluation of genetic demultiplexing of single-cell sequencing data ...

Single-cell sequencing (sc-seq) provides a species agnostic tool to study cellular processes. However, these technologies are expensive and ...

Evaluation of genetic demultiplexing of single-cell sequencing data ...

SNP-based demultiplexing enables demultiplexing of synthetically pooled zebrafish and African green monkey scRNA-seq data.

Demultiplexing of single-cell RNA-sequencing data using ...

Accuracy and reliability of the embedded sample index sequences are hallmarks of the 10× Genomics platform. This provides a solid foundation for evaluating the ...

Evaluation of genetic demultiplexing of single-cell sequencing data ...

Single-cell sequencing (sc-seq) provides a species agnostic tool to study cellular processes. However, these technologies are expensive and require ...

Evaluation of genetic demultiplexing of single-cell sequencing data ...

Evaluation of genetic demultiplexing of single-cell sequencing data from model species · Life Science Alliance, May 2023 · 10.26508/lsa.202301979 · 37197983.

Genotype-free demultiplexing of pooled single-cell RNA-seq

A variety of methods have been developed to demultiplex pooled samples in a single cell RNA sequencing (scRNA-seq) experiment which either ...

Accurate genotype-based demultiplexing of single cell RNA ...

Our results demonstrate that SNP-based demultiplexing of unlabeled, pooled scRNA-seq samples can be used with confidence in all of the species ...

deMULTIplex2: robust sample demultiplexing for scRNA-seq

Sample multiplexing enables pooled analysis during single-cell RNA sequencing workflows, thereby increasing throughput and reducing batch ...

Best practices for single-cell analysis across modalities - Nature

This is addressed by normalization to obtain correct relative gene abundances between cells. Single-cell RNA sequencing (scRNA-seq) data sets ...

(PDF) Accurate genotype-based demultiplexing of single cell RNA ...

Our results demonstrate that SNP-based demultiplexing of unlabeled, pooled scRNA-seq samples can be used with confidence in all of the species studied in this ...

CellDemux: coherent genetic demultiplexing in single-cell ... - bioRxiv

Notable, CellDemux demonstrates good performance in demultiplexing. snMultiome data and is generalizable to single modalities, i.e. snATAC-seq ...

Genetic demultiplexing of pooled single-cell RNA-sequencing ...

Computational demultiplexing tools based on natural genetic variation between individuals provide a simple approach to demultiplex samples, which does not ...

Bioinformatics Tools for Sample Demultiplexing - 10x Genomics

Single-cell RNA-seq (scRNA-seq) has been widely used to characterize the transcriptomics landscapes in individual cells, facilitating cell ...

A risk-reward examination of sample multiplexing reagents for single ...

Single-cell RNA sequencing (scRNA-Seq) has been powered by advancements in molecular biology, microfluidics, and high-throughput sequencing [1]. Applications of ...

Single-cell transcriptome sequencing allows genetic separation ...

Single-cell sequencing techniques allow pre-labelling cells prior to large-scale sequencing and deliver ample amounts of SNP data for subsequent ...

scSplit tool: genotype-free demultiplexing of pooled single-cell RNA ...

We introduce scSplit which utilizes genetic differences inferred from scRNA-seq data alone to demultiplex pooled samples.

Demultiplexing of single-cell RNA-sequencing data using ...

Abstract Motivation Pooled designs for single-cell RNA sequencing, where many cells from distinct samples are processed jointly, ...

Supervised Demultiplexing using Cell Hashing and SNPs

Multiplexing in scRNAseq involves the sequencing of samples from different patients, treatment types or physiological locations together, resulting in ...

mitoSplitter: A mitochondrial variants-based method for ... - PNAS

Standard scRNA-seq experiments are too expensive to evaluate a large number of samples. These issues can be addressed by demultiplexing pooled scRNA-seq data ...

Demultiplexing of single-cell RNA-sequencing data using ... - OUCI

Abstract Motivation Pooled designs for single-cell RNA sequencing, where many cells from distinct samples are processed jointly, offer increased throughput ...