Searching journal content for articles similar to Maggiolini et al. 30 (11): 1680.

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  1. ..., and .False discovery rate control using Storey's q-valuesWe identify significant pathological shifts at the single-cell level by performing separate hypothesis testing for each cell. To control for false discoveries from multiple hypothesis testing, we apply the q-value method developed by Storey...
  2. ...and target genes (Gao et al. 2023).Single-cell RNA sequencing (scRNA-seq) enables gene expression profiling at the individual cell level, revealing cellular heterogeneity with single-cell resolution and significantly enhancing the understanding of cell type–specific gene regulation (Chen and Liu 2022; Kartha...
  3. ...-Iseppi et al. 2021). In our study, we developed a workflow designed to streamline the analysis aspect of high-throughput long-read RNA sequencing data, enabling the identification of transcript isoforms at the single-cell level. Our workflow modified the 10x Genomics scRNA-seq protocol (Gupta et al. 2018...
  4. ...differences in the detection of fusion transcripts based on long- versus short-read sequencing. In these single-cell applications, the 10x Genomics single-cell sequencing libraries were based on 3′-end sequencing, inherently biasing sequencing coverage to the very 3′ ends of sequenced isoforms with Illumina...
  5. ...). Importantly, these HBV integration events, along with their human breakpoints, likely play significant roles in hepatocarcinogenesis and warrant further investigation.Structural variation (SV) analysis was performed on the inserted HBV sequences and revealed inversions, duplications, insertions, and deletions...
  6. ...of single-cell technology with the long-range information offered by long-read sequencing has resulted in new insights into the transcriptomes of disease-relevant systems with heterogeneous cell populations. In cancer, transcriptomic variation among cells can be layered on top of genomic variation. Short...
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  7. ...,102,785–51,230,413 (GRCh38) did not contain any known genes and consists of 51% repeat sequence; 49% interspersed repeats, and 2% simple repeats (Fig. 6C). Discordant reads pairs in srGS and split reads in lrGS were present in the GRCh37 alignment at the 6q16.1 breakpoint, partnering with multiple genomic locations...
  8. ...-read single-cell RNA sequencing (scRNA-seq) data reveals significant gene expression differences in SF3B1-mutated CLL cells, although it does not impact the sensitivity of the anticancer drug venetoclax. scRaCH-seq's capability to study long-read transcripts of multiple genes makes it a powerful tool...
  9. ....beerenwinkel@bsse.ethz.chAbstractIn cancer, genetic and transcriptomic variations generate clonal heterogeneity, leading to treatment resistance. Long-read single-cell RNA sequencing (LR scRNA-seq) has the potential to detect genetic and transcriptomic variations simultaneously. Here, we present LongSom, a computational workflow leveraging...
  10. ...assumption of these technologies.The rapid expansion of single-cell technologies has introduced various sequencing platforms that produce data with different qualities. For example, in contrast to transcript end sequencing technologies, full-length scRNA-seq covers the entire sequence of RNA molecules...
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