Searching journal content for articles similar to Kao et al. 21 (7): 1181.

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  1. ...means that the selected method met out-of-memory (OOM) errors in the specific data set. The methods are ranked by the Avg score for each data set, and we highlight the increment made by spRefine compared with the second-best baseline method. (B) The performance of batch effect correction based...
  2. ...Accurate short-read alignment through r-index-based pan indexing Rahul Varki1,4, Massimiliano Rossi1,4, Eddie Ferro1, Marco Oliva1, Erik Garrison2, Ben Langmead3 and Christina Boucher1 1Department of Computer and Information Science and Engineering, University of Florida, Gainesville, Florida 32611...
  3. ...computational toolkit for genotyping the variable genes of the IG lambda and kappa, and the TR loci with short-read whole sequence data, using an integer linear programming formulation, as an update to the ImmunoTyper-SR suite, which focused on IGHV region only. We evaluate its genotyping performance using...
  4. ...length for ONT was ∼1000 bp, corresponding to the average size of full-length transcripts. The average base call quality score was ∼12.5, corresponding to an estimated error rate of ∼5.6% (Supplemental Fig. S1).Cell clustering and annotation were initially conducted on the short-read scRNA-seq data set...
  5. ...short-read sequences. Recent advances in long-read isoform sequencing enable the detection of fusion transcripts at unprecedented resolution in bulk and single-cell samples. Here, we developed a new computational tool, CTAT-LR-Fusion, to detect fusion transcripts from long-read RNA-seq with or without...
  6. ...A prospective trial comparing programmable targeted long-read sequencing and short-read sequencing for genetic diagnosis of cerebellar ataxia Haloom Rafehi1,2,43, Liam G. Fearnley1,2,43, Justin Read3,4,43, Penny Snell3, Kayli C. Davies3,5, Liam Scott1, Greta Gillies3, Genevieve C. Thompson3,5, Tess...
  7. ...Hang Dai and Yongtao Guan Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, North Carolina 27707, USA Corresponding authors: yongtao.guan@duke.edu, hang.dai@duke.eduAbstractWe present Nubeam (nucleotide be a matrix) as a novel reference-free approach...
  8. ...designed to detect small repeat units from relatively low-error-rate data such as short-read sequencing data. They often do not perform well with higher repeat lengths and/or lower frequencies. Other tools like DeepRepeat (Fang et al. 2022), tandem-genotypes (Mitsuhashi et al. 2019), and Expansion...
  9. ..., we developed RNA-Bloom, an assembly algorithm that leverages the rich information content aggregated from multiple single-cell transcriptomes to reconstruct cell-specific isoforms. Assembly with RNA-Bloom can be either reference-guided or reference-free, thus enabling unbiased discovery of novel...
  10. ...is required, and the per base error rate is that of Illumina short-reads. In this paper, we formally describe a particular algorithmic issue common to Linked-Read technology: the deconvolution of reads with a single 3′ barcode into clusters that represent single long fragments of DNA. We introduce Minerva...
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