Searching journal content for articles similar to Tardaguila et al. 28 (3): 396.

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  1. ...-reads, an extension of SQANTI3 (Pardo-Palacios et al. 2024a), a tool originally designed for transcript model quality control, to jointly provide quality control metrics for long-read data and to analyze multiple samples for consistency and bias. We demonstrate that SQANTI3's structural categories and other quality...
  2. ...distinct structural categories using SQANTI3 (Fig. 4A; Tardaguila et al. 2018): (i) full splice match (FSM); (ii) incomplete splice match (ISM); (iii) novel in category (NIC); (iv) novel not in category (NNC); (v) fusion (F); (vi) genic (G); (vii) antisense (A); and (viii) intergenic (I). The statistics...
  3. ...to have the lowest rate of false positive isoforms compared to alternatives like SQANTI3 and TALON (Prjibelski et al. 2023; Pardo-Palacios et al. 2024). However, integrating the long transcript workflow data set into a combined IsoQuant analysis with the standard workflow data sets posed challenges...
  4. ...characterization of individual exons toward studying alternative RNA processing events in the isoform context. Therefore, LRS provides an attractive approach for studying full-length RNA molecules.Challenges of terminal end identification with long-read RNA sequencingShort-read sequencing (SRS) technologies...
  5. ...are necessary to better understand this phenomenon.In conclusion, the long-read scRNA-seq approach was proved to be highly effective in identifying both known and novel isoforms. Our study stands as the first unbiased characterization of full-length transcription isoforms in single cells within the mouse retina...
  6. ...inaccessible AG′ within the RNA secondary structure (Kesarwani et al. 2017). Despite these hypotheses, the exact mechanism of the effect of mutations in SF3B1 is still not resolved.Here, we aimed to comprehensively characterize the effects of SF3B1 mutations in cancer using long-read transcriptome sequencing...
  7. ...prediction algorithms to enhance their efficacy. Aware of the limitations of long-read transcriptome sequencing, our study aimed to assess how lrRNA-seq data can be best used to support annotation efforts. Our results indicate that processing lrRNA-seq data into transcript models followed by SQANTI3 curation...
  8. ...evaluating library preparation, sequencing platforms, and analysis tools for the identification and quantification of transcripts using LRS technologies (Pardo-Palacios et al. 2024b).LRGASP included sequencing from PacBio, ONT, and Illumina short reads, four library preparation methods, and the use of SQANTI...
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  10. ...only be considered possibly novel at best. In recent years, the SQANTI categories have become a popular approach to classifying distinct types of novelty (Tardaguila et al. 2018). The approach also relies on a comparison to a reference annotation. If a sequenced transcript has a novel intron chain...
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