Searching journal content for articles similar to Yu et al. 32 (7): 1398.

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  1. ...control metrics, repurposed in SQANTI-reads, are highly effective for assessing the homogeneity in a lrRNA-seq multisample experiment, identifying read quality control failures, and detecting outliers. Additionally, we have added new metrics that provide insights into the potential utility and discovery...
  2. ...of reads that can map equally well to shared regions of sequence between transcripts. This quantification uncertainty, in turn, can impact the quality and robustness of differential analysis using transcripts as features. mehenDi provides a different approach to tackle this problem for RNA-seq data...
  3. ...tools reveals that MotifScope can identify a greater number of motifs and more accurately represent the underlying repeat sequences. Moreover, MotifScope has been specifically designed to enable motif composition comparisons across assemblies of different individuals, as well as across long-read...
  4. ...Evaluation of strategies for evidence-driven annotation using long-read RNA-seq Alejandro Paniagua1,2,6, Cristina Agustín-García1,6, Francisco J. Pardo-Palacios1, Thomas Brown3,4, Maite De Maria5, Nancy D. Denslow5, Camila J. Mazzoni3,4 and Ana Conesa1 1Institute for Integrative Systems Biology...
  5. ....In single-cell transcriptome sequencing, high-resolution quantification of gene expression profiles provides insights into cellular heterogeneity and the molecular underpinnings of tissue phenotype variations (Kalucka et al. 2020; Argelaguet et al. 2021). Analyzing cell type composition using scRNA-seq...
  6. ...). To evaluate the feasibility of using 10x snRNA-seq data for detecting APA events, we first analyzed gene body coverage across different tissues and cell types. The results showed that 10x snRNA-seq reads were concentrated near the 3′-end regions of genes (Fig. 1A), enabling reliable detection of 3′ UTR...
  7. ...), and the NCBI Sequence Read Archive (SRA; https://www.ncbi.nlm.nih.gov/sra) (Kodama et al. 2012; Katz et al. 2022).Public RNA-seq data resources such as recount3 offer an unprecedented opportunity to improve GCN inference but also present major challenges due to heterogeneity in sample preparation, sequencing...
  8. ...with CTAT-LR-Fusion by combining LRS and short-read sequencing, improving the detection of clinically relevant gene fusions in cancer. Keil et al. (2025) introduce SQANTI-reads, a quality assessment framework for multisample long-read RNA-seq experiments, identifying under-annotated genes and novel...
  9. ...extrinsic and intrinsic evidence. Extrinsic evidence is extracted from transcripts and cross-species homologous proteins. RNA-seq reads offer direct evidence on introns and, if assembled, on a gene structure. Protein sequences from related s can be used to identify regions of a that encode proteins...
  10. ...equally to this work. Corresponding author: zsh@amss.ac.cnAbstractCross-species comparative analyses of single-cell RNA sequencing (scRNA-seq) data allow us to explore, at single-cell resolution, the origins of the cellular diversity and evolutionary mechanisms that shape cellular form and function. Cell...
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