Searching journal content for articles similar to Zhang et al. 36 (2): 405.

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  1. ...in the population (Singh et al. 2022). A variety of methods have been developed that use pan graphs for common applications, including genotyping, variant calling, haplotype reconstruction, metagenomic read classification, etc. (Eizenga et al. 2020). Efforts toward using pan graphs have been further catalyzed...
  2. ...community, we anticipate VRPG to be further improved, facilitating researchers from different fields to better explore the power of graph-based pangenomics, especially in the age of large-scale long-read-based population sequencing (Rech et al. 2022; O'Donnell et al. 2023; Weller et al. 2023; Gustafson et...
  3. .... briggsae strains and nine C. nigoni strains, including both reference strains. Through comparative pan-genomic analyses of both nematode species, we aim to identify the critical structural and genetic variations that drive intra- and interspecific evolution, ultimately leading to speciation...
  4. ...pangenomics: a tutorial on data structures and their applications. Nat Comput 21: 81–108. doi:10.1007/s11047-022-09882-6 ↵Bradbury PJ, Casstevens T, Jensen SE, Johnson L, Miller Z, Monier B, Romay M, Song B, Buckler ES. 2022. The practical haplotype graph, a platform for storing and using pans for imputation...
  5. ...individuals. Even within a single species, different strains can have highly divergent gene content, affecting traits such as antibiotic resistance, metabolism, and virulence. Methods that harness metagenomic data to resolve strain-level differences in functional potential are crucial for understanding...
  6. ...references. Consequently, two pangenomic aligners have been developed within the vg toolkit: vg map (Garrison et al. 2018; Sirén et al. 2020) and vg giraffe (Sirén et al. 2021). Both methods involve constructing and aligning to a variation graph. In this graph, nodes represent segments of DNA sequences...
  7. ...colored de Bruijn graph construction algorithm, Cuttlefish, provides an optimal starting point for a pangenomic GWES that does not rely on a single-reference -based representation of variation (Khan and Patro 2021). Using this data structure, we have developed an efficient algorithm, PAN...
  8. ...an impact on gestational health and outcome. However, characterization of the pregnancy-associated microbiome has largely relied on 16S rRNA gene amplicon-based surveys. Here, we describe an assembly-driven, metagenomics-based, longitudinal study of the vaginal, gut, and oral microbiomes in 292 samples from...
  9. ...at the strain level with higher accuracy compared with other approaches. Finally, we present strategies for compacting this structure in applications in which read lengths or match lengths can be bounded.Metagenomic read (Wood et al. 2019) classification allows researchers to study organisms present...
  10. ...and Salzberg 2020). These pans are frequently modeled as graphs (Garrison et al. 2018; Li et al. 2020), which work well to represent and detect structural variants (SVs), sequence alterations >50 bp, compared with reference-based short-read alignment (Mérot et al. 2020). Pangenomic approaches have proven...
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