Comparative analysis of single-cell and spatial Nanopore long-read methods

ABSTRACT: Alternative splicing significantly contributes to transcriptome complexity and has critical implications for cellular functions. Recent advancements in single-cell isolation and capture techniques have enabled high-throughput quantification of gene expression at single-cell resolution. Long-read sequencing technologies can further be combined with single-cell technologies and enable an unambiguous identification of complete exon structures. Several computational methods have been developed to specifically address bioinformatics challenges associated with the processing of long read scRNA-seq data. Evaluating and comparing these computational methods becomes crucial. The goal of this study was to benchmark state-of-the-art computational tools for single-cell and spatial long-read transcript

INSTRUMENT(S): MinION, PromethION

ORGANISM(S): Mus musculus

SUBMITTER: genomiqueENS IBENS 

PROVIDER: E-MTAB-15190 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress