Searching journal content for articles similar to Chao et al. 35 (2): 311.

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  1. ...epithelial-to-mesenchymal transition. Overall, ANS provides a robust and reliable gene signature scoring framework, significantly improving the accuracy of score-based annotation of cell types and states in single-cell studies.High-throughput single-cell RNA sequencing (scRNA-seq) is a powerful technology...
  2. ...annotation should contain information on what tissues express what transcript isoforms at what level. This tissue-level isoform information can then inform a wide range of research questions as well as experiment designs. Long-read sequencing technology combined with advanced full-length cDNA library...
  3. ...). For benchmarking purposes, we used the well-annotated human and long-read cDNA reads of the human cell line WTC11 generated by the Long-read RNA-seq Genome Annotation Assessment Project (LRGASP) (Pardo-Palacios et al. 2024b). We exemplify the utility of the best-performing approach on the annotation...
  4. ...Technologies 2019] vs. ∼130 M reads in cDNA-based protocols [Aguzzoli Heberle et al. 2024]), which compromises transcript identification. Despite these shortcomings, direct RNA holds great potential for improving transcript identification in the future.A significant challenge in the analysis of lrRNA-seq data...
  5. ...of genomic structural stability and sequence conservation than other vertebrates.Abundance and activity of transposable elements in gar sTransposable elements (TEs) are DNA sequences in the that can replicate themselves or move between chromosomes. TE activity can lead to genomic instability (Bourque et al...
  6. .... Integrating multiple references should, in principle, widen cell type coverage and mitigate the impacts of annotation errors in any single data set. The central question is how to combine multiple references effectively and whether this strategy indeed improves query annotation. To explore this, we collected...
  7. ...-resolved assemblies. This graph is modeled as a DAG, in which each node is labeled with a DNA sequence, and edges represent the adjacency of these sequences along known haplotypes. Any path through this graph can represent an existing haplotype or a recombinant mosaic of segments from multiple haplotypes.In the Li...
  8. ...integrative summary of such data sets. Here, we present the ENCODE4 Catalog of Segway Annotations, a set of sample-specific -wide chromatin state annotations of 234 human biosamples inferred from 1,794 genomics experiments. This catalog identifies genomic elements, accurately captures cell type...
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  9. ...identifies confident state annotations. SAGAconf integrates sources of reproducibility information such as granularity, alignment, and posterior to derive an r-value for each genomic position. The r-value estimates the probability of reproducing the annotation at a specific genomic position. (A) Density...
  10. ...editing efficiency, we amplified genomic DNA from puromycin-selected, doubly transfected C1 cells using primers targeting regions surrounding sites recognized by sgRNAs in RE1, -2, or -3 (Supplemental Fig. S49A). PCR products were analyzed by gel electrophoresis, purified, and sequenced (Supplemental Fig...
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