Project description:Long-read Nanopore cDNA sequencing of polyA-enriched RNA was implemented in a range of adult tissues isolated from cattle, pig, and chicken. These data were used to identify and characterize the expression patterns of full-length transcript isoforms.
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:Evaluation of short-read-only, long-read-only, and hybrid assembly approaches on metagenomic samples demonstrating how they affect gene and protein prediction which is relevant for downstream functional analyses. For a human gut microbiome sample, we use complementary metatranscriptomic, and metaproteomic data to evaluate the metagenomic-based protein predictions.
Project description:Purpose: To generate a reference long-read transcriptomic data set for use in developing new analysis pipelines and comparing their performance with existing methods. Synthetic “sequin” RNA standards (Hardwick et al. 2016) were sequenced using the Oxford Nanopore Technologies (ONT) GridION platform.
Project description:Ongoing improvements to next generation sequencing technologies are leading to longer sequencing read lengths, but a thorough understanding of the impact of longer reads on RNA sequencing analyses is lacking. To address this issue, we generated and compared two RNA sequencing datasets of differing read lengths -- 2x75 bp (L75) and 2x262 bp (L262) -- and investigated the impact of read length on various aspects of analysis, including the performance of currently available read-mapping tools, gene and transcript quantification, and detection of allele-specific expression patterns. Our results indicate that, while the scalability of read-mapping tools and the cost-effectiveness of long read protocol is an issue that requires further attention, longer reads enable more accurate quantification of diverse aspects of gene expression, including individual-specific patterns of allele-specific expression and alternative splicing. Two RNA-Seq datasets of differing read lengths (2x262 bp and 2x75 bp)