Searching journal content for articles similar to Lewin et al. 19 (11): 1925.

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  1. ...: chirag@iisc.ac.inAbstractAffordable genotyping methods are essential in genomics. Commonly used genotyping methods primarily support single-nucleotide variants and short indels but neglect structural variants. Additionally, accuracy of read alignments to a reference is unreliable in highly polymorphic...
  2. ...on microscopic chromosome examination, a complex and expertise-dependent process with megabase-scale resolution. Optical mapping (OGM) technology offers an efficient approach to detect large-scale genomic lesions. Here, we introduce OMKar, a computational method that generates virtual karyotypes from OGM data...
  3. ...to those of the state-of-the-art tools across several species. With every new assembled telomere-to-telomere, the amount of reliable training data at our disposal increases. Combining the straightforward generation of abundant simulated data for diverse genomic structures with the AI approach makes...
  4. ...for the identification of major genomic events that have occurred since hybridization, such as recombination, chromosomal rearrangements, and LOH (see Methods). Our first approach used nonoverlapping blocks of 5000 bp for every chromosome in a BLAST search against the s of S. eubayanus and S. uvarum, with the origin...
  5. ...assessed the final mapping rate with the flagstat command of SAMtools v1.8, which was >90% for all samples and in the range of previously reported mapping rates for cichlid s used in population genomic analyses (individual mapping rates; wildI: 91.46%, parent: 91.43, offspring1: 91.96%, offspring2: 91...
  6. ...and 1000 Genomes data with θ = 0.00075 and ρ = 0.0006, a cache of size 10 kbp, and output every 1-kbp sites.Selection simulation studyWe simulated two sets of samples. First, we used the cosi2 (Shlyakhter et al. 2014) simulator to generate 100 replicates of 100 haploid sequences of length 10 Mbp, where...
  7. ..., Wysoker A, Fennell T, Ruan J, Homer N, Marth G, Abecasis G, Durbin R, 1000 Genome Project Data Processing Subgroup. 2009. The Sequence Alignment/Map format and SAMtools. Bioinformatics 25: 2078–2079. doi:10.1093/bioinformatics/btp352 ↵McLaren W, Gil L, Hunt SE, Riat HS, Ritchie GRS, Thormann A, Flicek P...
  8. ...: 3094–3100. doi:10.1093/bioinformatics/bty191 ↵Li H, Handsaker B, Wysoker A, Fennell T, Ruan J, Homer N, Marth G, Abecasis G, Durbin R, 1000 Genome Project Data Processing Subgroup. 2009. The Sequence Alignment/Map format and SAMtools. Bioinformatics 25: 2078–2079. doi:10.1093/bioinformatics/btp352 ↵Li...
  9. ...seemed likely to reflect mobile element insertions. Because mobile elements have not been cataloged in the T. confusum , we simply assessed genomic copy number for sequences in this region. We scanned across this region in each species with 18-base windows (displaced every nine bases) and counted...
  10. ...encoded unchanged products in VC2010; moreover, we predicted ≥53 new genes in VC2010. The recompleted of C. elegans should be a valuable resource for genetics, genomics, and systems biology.The usefulness of model organisms in modern biology partly comes from their having reference assemblies...
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