Project description:This dataset contains Xdrop followed by oxford nanopore long read sequencing performed in target tRNA gene deletion (t8) and intergenic region deletion (i50) clones in HepG2 . By applying de novo assembly based approach to Xdrop-LRS data, we identified Cas9-induced on-target genomic alteration.
Project description:This dataset contains Xdrop followed by oxford nanopore long read sequencing performed in target tRNA gene deletion clones in HAP1 (t72) and HepG2 (t15). By applying de novo assembly based approach to Xdrop-LRS data, we identified Cas9-induced on-target genomic alteration.
Project description:We used targeted long-read Oxford Nanopore Technologies sequencing enriching for a panel of 1036 pharmacogenes extracted from the PharmGKB database. The enrichment was performed using ONT's adaptive sampling feature, enabling in silico enrichment without physically capturing the fragments of interest using hybridization.
Project description:We performed direct cDNA sequencing in HeLa GFP∆Promoter cells by Oxford Nanopore Technology (ONT) on a MinION device to detect EGFP RNA levels after DSB induction.
Project description:We present scNanoATAC-seq (Single-cell Assay for Transposase Accessible Chromatin by Oxford Nanopore Technologies Sequencing), an effective method for simultaneous detection of chromatin accessibility and genetic variation. Long fragments (about 4-5Kb) of single-cell ATAC-seq library were enriched and sequenced by Oxford Nanopore Technologies platform. Ends of long ATAC-seq fragments are regarded as chromatin accessibility signal in downstream analysis.
Project description:We present scNanoATAC-seq (Single-cell Assay for Transposase Accessible Chromatin by Oxford Nanopore Technologies Sequencing), an effective method for simultaneous detection of chromatin accessibility and genetic variation. Long fragments (about 4-5Kb) of single-cell ATAC-seq library were enriched and sequenced by Oxford Nanopore Technologies platform. Ends of long ATAC-seq fragments are regarded as chromatin accessibility signal in downstream analysis.
Project description:Long-read nanopore sequencing has emerged as a potent tool for studying RNA modifications. However, the detection of N4-acetylcytidine (ac4C) based on nanopore sequencing remains largely unexplored. Here, we introduce ac4Cnet, a deep learning frame utilizing Oxford Nanopore direct RNA sequencing to accurately identify ac4C sites. Our methodology involves training ac4Cnet capable of distinguishing ac4C from unmodified cytidine and 5-methylcytosine (m5C), as well as estimating the modification rate at each ac4C site. We demonstrate the robustness of our approach through validations on independent in vitro datasets and a human cell line, highlighting its versatility and potential for advancing the study of ac4C modifications.