Searching journal content for articles similar to Şapcı and Mirarab 34 (9): 1455.

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  1. ...libraries using k-mer spectraOne of the most common direct applications of k-mers in genomics is for characterization of a sequencing data set using the distribution of k-mer coverages; this is commonly referred to as k-mer spectrum or k-mer histogram. A typical k-mer spectrum of a moderately heterozygous...
  2. ...explosion by filtering k-mers that are relevant to a motif pattern. These selected k-mers are used to construct a position weight matrix (PWM) representing the motif. However, this approach typically focuses on individual motifs one at a time, failing to capture the full spectrum of patterns in the k-mer...
  3. ...to bacterial species in which these biases have a major effect on accuracy. The split k-mer approach does not use alignment during construction, so it is robust to diversity from a reference, either avoiding references entirely as in ska align or using the reference only as a coordinate system as in ska map...
  4. .... (Sirén et al. 2024) introduced a personalization facility to VG (Sirén et al. 2021). The method begins with an inclusive pan, then uses k-mers derived from the input reads to personalize the reference chunk-by-chunk. This has the drawbacks that (a) it requires k-mer counting over the entire input reads...
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  5. ...: zhangs@fudan.edu.cn, zsh@amss.ac.cnAbstractCell type annotation is a critical and essential task in single-cell data analysis. Various reference-based methods have provided rapid annotation for diverse single-cell data. However, selection of the optimal references and methods is often overlooked...
  6. ...subsequent SNP-based k-mer approach. We then realign each read using blockaligner (Liu and Steinegger 2023) against the 32 bp flanks around each filtered SNP site, replacing the site with all possible alleles and then selecting the allele that gives the highest alignment score.Finally, we encode each read...
  7. ...genes owing to intensifying selective constraints over time. We propose a “pleiotropy-barrier” model that delineates higher potential for phenotypic innovation in young genes compared to older genes, a process under natural selection. Our study demonstrates that evolutionarily new genes are critical...
  8. ...spRefine denoises and imputes spatial1 transcriptomics with a reference-free framework2 powered by genomic language model3 Tianyu Liu1,2, Tinglin Huang3, Wengong Jin4,5, Tinyi Chu2, Rex4 Ying3, Hongyu Zhao1,2*5 1Interdepartmental Program in Computational Biology &6 Bioinformatics, Yale University...
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  9. ...sensitivity of these effects to the genetic background, explaining why these effects are not evolutionarily conserved. Together, our results suggest that most transcriptomic and proteomic effects of gene deletion do not inform selected-effect function. This finding has important implications for assessing and...
  10. ..., we selected CGC1, an isogenic derivative of the original reference strain N2 (Brenner 1974) by way of VC2010 (Flibotte et al. 2010). We originally called this isogenic derivative “PD1074” while calling our assembly of it “VC2010” (Yoshimura et al. 2019); however, these two names were confusingly...
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