Searching journal content for articles similar to Lo et al. 13 (8): 1855.

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  1. ...for ancestry classificationIndividuals that are more closely related in ancestry have spatial autocorrelations in their genomic sequences. This phenomenon is translated into population clusters using dimensionality reduction techniques (Fig. 4). The most common approaches to address ancestry classification...
  2. ...as one of the genetic modifiers that influence the penetrance of pathogenic variants (Castel et al. 2018). These common variants, which modify gene expression in specific haplotype combinations with rare pathogenic alleles, “interact” with the latter, thereby modulating their penetrance (Emison et al...
  3. ...and gene conversion (Liao 1999). However, the extent of homogenization and variation in observed copy numbers may vary across tandem arrays and may be shaped by various factors (such as natural selection, drift, mutation, drive, age, size, and relative rates of different kinds of recombination) acting...
  4. ...and the most recent common ancestor of L. osseus and L. oculatus (Fig. 1A; Supplemental Table S5). Comparative genomic analysis revealed distinctive characteristics of macrochromosomes and microchromosomes in A. spatula, L. osseus, and L. oculatus. Macrochromosomes contain a higher total number of genes...
  5. ...alleles based on SNV haplotype groups, or uses a mix of both information sources. STRkit can also genotype haploid alleles for, for example, loci on the sex chromosomes of human XY or XO individuals. If two STRs have common SNV haplotype groups, they will be locally phased. If a phased alignment file...
  6. ...number alterations are common driver events in tumors, and copy number losses can contribute to the inactivation of tumor-suppressor genes (Davoli et al. 2013) by creating haploid regions through loss of heterozygosity (LOH) in specific alleles. Although LOH can be advantageous to a tumor, these haploid...
  7. ...is well established that miRNAs can repress the expression of their targets, at both the RNA and the protein level (Baek et al. 2008; Selbach et al. 2008). However, alternative functions for miRNAs have also been proposed, including buffering of gene expression variation (noise) (Hornstein and Shomron...
  8. ...in a microbial community, but they often fall short in characterizing variation in gene content between strains (Plaza Oñate et al. 2019). As a result, it is challenging to study the functional consequences of strain-level variation in the gut microbiome.The most common way to study microbial gene content...
  9. ...on the “literature” page. (G) Entrance to different non-human species on the “species” page.Diverse query strategySynMall features three primary search modes. First is single query (Supplemental Fig. S9A): SynMall supports four common query options by default, including Ensembl transcript ID, genomic region, genomic...
  10. ..., gene absence/presence, etc. (Computational Pan-Genomics Consortium 2018).Recent works propose the use of pan references to improve genotyping accuracy from short-read sequencing data (Eggertsson et al. 2017; Sibbesen et al. 2018; Hickey et al. 2020; Letcher et al. 2021; Bradbury et al. 2022; Ebler et...
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