Searching journal content for articles similar to Miller et al. 29 (5): 831.

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  1. ...10 chemistry. We further demonstrated the importance of long reads to detect clinically impactful variants such as a FMR1 pathogenic expansion, often misclassified by SRS as being in the premutation range. Our multiplatform analysis and Sanger validation uncovered a 1 bp error in the Coriell...
  2. ...Analytical validation of germline small variant detection using long-read HiFi sequencing Nathan Hammond1,3, Linda Liao1, Pun Wai Tong1, Zena Ng1, Thuy-Mi P. Nguyen2, Chandler Ho1, Yao Yang1,2 and Stuart A. Scott1,2 1Clinical Genomics Laboratory, Stanford Medicine, Palo Alto, California 94304, USA...
  3. .... Consequently, understanding the diversity in terms of strains in microbial communities is crucial, as variations between strains can lead to different phenotypic expressions or diverse biological functions. However, current methods for taxonomic classification from metagenomic sequencing data have several...
  4. ...using cell mutational profiles. LongSom distinguishes somatic SNVs from noise and germline polymorphisms by applying an extensive set of hard filters and statistical tests. Applying LongSom to human ovarian cancer samples, we detected clinically relevant somatic SNVs that were validated against matched...
  5. ...and real-world data, we demonstrate MARTi's performance in read classification, taxon detection, and relative abundance estimation. By bridging the gap between sequencing and actionable insights, MARTi marks a significant advance in the accessibility and functionality of real-time metagenomic analysis.Metagenomics...
  6. ...and estimate the distribution of strains based on SNP profiles. We defined detection as an estimated depth of ≥0.1×, a threshold chosen to balance false positives with the sensitivity of strain tracking. All species combined, a median of 59 strains were detected in each metagenomic sample and 191.5 across all...
  7. ...in cancer s, a comprehensive understanding 66 of somatic SV's scope and mechanisms is essential for uncovering key cancer mutations in 67 patient tumors. 68 69 However, despite the widespread clinical application of somatic SV detection methods based 70 on second-generation short-read sequencing...
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  8. ...resolution, as well as to identify their chromosomal origin and formation mechanism. Here, we apply long-read sequencing (lrGS) in combination with the telomere-to-telomere (T2T-CHM13) assembly to characterize the structure and genomic content of 10 clinically detected sSMCs. We use sequencing data...
  9. ...that the high values of contamination level observed in this strain and others were not caused by actual contamination but rather by a limitation of the checking ability in the software used in this study. Indeed, no 16S rRNA gene sequences from potential contaminants were detected in any of the assemblies...
  10. ...including targeted RT-PCR analysis and RNA sequencing-based tests (Casadei et al. 2019; Wai et al. 2020; Bournazos et al. 2022). Bioinformatic splicing predictions and RNA splicing assay data are then used as evidence in variant pathogenicity assessment models, including the widely adopted American College...
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