Searching journal content for articles similar to Long et al. 33 (4): 644.

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  1. ...Multitissue single-nucleus RNA-seq reveals cell type–specific regulatory patterns of alternative polyadenylation in pigs Qiuhan Wen1,2, Zhen Wang1, Qi Bao1, Tianli Ding1, Haihan Zhang3, Jianbo Li4, Zhuang Liu5, Jieping Huang2 and Guoqiang Yi1,6,7 1Shenzhen Branch, Guangdong Laboratory of Lingnan...
  2. ...whenever a plausible alternative explanation (e.g., intramolecular secondary structure) existed. While this does not definitively rule out antisense pairing, we prioritized simpler, well-characterized mechanisms where multiple explanations were possible. Second, our reliance on poly(A)-selected RNA-seq...
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  3. ...estimate the abundance of the features to be tested, with genes and transcripts being the most common features of interest for most RNA-seq analyses. A gene can express multiple isoforms or transcripts due to alternative splicing, where the transcripts can comprise an overlapping set of exons and thus...
  4. ...). For this approach, RNA-seq has been shown to overperform other forms of evidence, since this type of data is able to capture splice sites, exon, and alternative spliced exon boundaries (Yandell and Ence 2012). However, evidence-based methods have several downsides, one of them being the amount of data available...
  5. ...algorithms to accurately identify intronic polyadenylation 323 (IPA) events from bulk RNA-seq data. Unlike previous methods primarily focused on 3' UTR 324 alternative polyadenylation (APA), IPAseek robustly detects both composite and skipped IPA 325 isoforms, addressing challenges posed by complex splicing...
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  6. ...and AI Institute, Johns Hopkins University, Baltimore, Maryland 21218, USA Corresponding author: ajbattle@jhu.eduAbstractGene coexpression networks (GCNs) describe relationships among genes that maintain cellular identity and homeostasis. However, typical RNA-seq experiments often lack sufficient sample...
  7. ...developed dynamic analysis of alternative polyadenylation from scRNA-seq (scDaPars), a bioinformatics algorithm for quantifying and recovering APA usage at the single-cell and single-gene resolution using standard scRNA-seq data. Because APA is reported to be regulated in a cell-state- or cell...
  8. ..., -guided methods are more commonly used because they are usually more accurate (Shao and Kingsford 2017).Transcriptomic studies involve multiple samples. Constructing a consensus transcriptome from multiple samples is critical in an RNA-seq experiment for the subsequent quantification and differential...
  9. ...transcriptomes and proteomes vary across s, between genes, and even along a single gene. User-friendly and accurate annotation pipelines that can cope with such data heterogeneity are needed. The previously developed annotation pipelines BRAKER1 and BRAKER2 use RNA-seq or protein data, respectively, but not both...
  10. ...short-read RNA-seq as a modularized software that contains chimeric read extraction, fusion transcripts identification, expression quantification, gene fusion annotation, and interactive visualization. To benchmark existing tools, we collected or generated comprehensive simulation data sets to reflect...
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