Searching journal content for articles similar to Silva Pereira et al. 28 (9): 1383.

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  1. ...Highly accurate reference and method selection for universal cross–data set cell type annotation with CAMUS Qunlun Shen1,2, Shuqin Zhang1,3 and Shihua Zhang2,4,5 1School of Mathematical Sciences, Fudan University, Shanghai 200433, China; 2State Key Laboratory of Mathematical Sciences, Academy...
  2. ...and ultimately enable functional classification of regulatory variants identified by population studies.Most genetic associations with human diseases and traits lie within noncoding regulatory DNA (Maurano et al. 2012). Genome-scale methods to analyze the function of noncoding regulatory elements within...
  3. ...applied to data generated by state-of-the-art ONT sequencing, highlighting its potential as a rapid, cost-efficient screening tool that can usefully complement experimental profiling efforts.Cross-predictions between different speciesTo evaluate the cross-species generalization capability of EnDeep4mC, we...
  4. ...Splice exhibits excellent reproducibility across cDNA input and PCR cycle differences and is able to identify and quantitate transcripts that differed by a single base. Of the 193 BRCA1 and 72 BRCA2 variants profiled, 89% (237/265) had no publicly available RNA splicing data. Complete or near complete impact...
  5. ...sites, in line with the differential intensity of CTCF binding at these sites and the presence of motifs of different quality (Owens et al. 2019). Similar to the ATAC-seq experiments described above, Hi-C is performed on a population of cells. Therefore, a possible explanation for the quantitative...
  6. ...the complex sources of variability inherent to this problem domain (e.g., the nonuniformity of read coverage and variant density within the and across different populations or read length and error profiles of different sequencing platforms).Learning-based approaches, on the other hand, can detect complex...
  7. ...2019). For instance, COAST weights variants based on their predicted deleteriousness (McCaw et al. 2023), whereas DeepRVAT employs a data-driven approach to learn aggregation functions from multiple annotations using a neural network (Clarke et al. 2024). Despite these improvements, a unified framework...
  8. ...spike-ins of equal length but varying GC-content, MFE, and tertiary structure. Although an RNA of length k can form 4k sequences (Supplemental Fig. S1A), we constrained the design to eight variable sites within a 50-nt core, flanked by 8-nt poly(A) tails at each end. This yielded 48 spike-in variants...
  9. ....e., variants with minor allele frequency [MAF] < 0.05 in the population). This methodology empowers several aspects of precision medicine, including disease prevention, early intervention, and personalized treatment (Gibson 2019; Konuma and Okada 2021; Polygenic Risk Score Task Force of the International...
  10. ...pharmaceutical potential in terms of targeting unusual antigens (Burke et al. 2020), their role in the native immune response remains unclear.The challenge of finding IgQTLsPrevious immunosequencing studies have succeeded in linking variants in the human IGH locus to disease and vaccination efficacy (Thomson et...
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