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  1. ...and Jonas Paulsen1 1Department of Biosciences, Faculty of Mathematics and Natural Sciences, University of Oslo, 0316 Oslo, Norway; 2Department of Genome Sciences, The John Curtin School of Medical Research, The Australian National University, Canberra, Australian Capital Territory 2601, Australia; 3...
  2. ...that gars have lower TE copy numbers and a much lower degree of TE activity than other representative vertebrates (Fig. 3). Together with our inference that gars have the lowest rates of global genomic nucleotide substitution across all vertebrates (Brownstein et al. 2024) and have highly conserved synteny...
  3. .... OMKar integrates structural variants (SVs) and copy number (CN) variants into a breakpoint graph representation. It re-estimates CNs using integer linear programming to enforce CN balance and then identifies constrained Eulerian paths corresponding to full chromosome structures. OMKar is evaluated on 38...
  4. ...variants, which constitute the primary data used for inferring cell lineage trees. The primary class of genomic variants studied in this paper is the single nucleotide variant (SNV). We do not consider more complex variants such as copy number variations (CNVs) for cell lineage tree inference (see...
  5. ...sizes for reliable GCN inference. recount3, a data set with 316,443 processed human RNA-seq samples, provides an opportunity to improve network reconstruction. However, GCN inference from public data is challenged by confounders and inconsistent labeling. To address this, we develop a pipeline...
  6. ...equally to this work. Corresponding author: johnq@hsph.harvard.eduAbstractGene regulatory networks (GRNs) are effective tools for inferring complex interactions between molecules that regulate biological processes and hence can provide insights into drivers of biological systems. Inferring coexpression...
  7. ...Ran Zhang1,2, Chengxiang Qiu1, Galina N. Filippova3, Gang Li1,2, Jay Shendure1,4,5,6,7, Jean-Philippe Vert8, Xinxian Deng3, William Stafford Noble1,9 and Christine M. Disteche3,10 1Department of Genome Sciences, University of Washington, Seattle, Washington 98195, USA; 2eScience Institute...
  8. ..., Bengio Y, Bresson X. 2023. Benchmarking graph neural networks. J Mach Learn Res 24: 1–48. ↵Edmonds J, Johnson EL. 2003. Matching: a well-solved class of integer linear programs. In Combinatorial optimization—Eureka, you Shrink!, Lecture notes in computer science (ed. Jünger M, Reinelt G), pp. 27...
  9. ..., Stanford University, Stanford, California 94305, USA; 2MiLaboratories Incorporated, San Francisco, California 94114, USA; 3Unit of Animal Genomics, WELBIO, GIGA-R and Faculty of Veterinary Medicine, University of Liège (B34), 4000 Liège, Belgium; 4Department of Biochemistry and Molecular Genetics...
  10. ...follow the original strand choice of the C. elegans N2 assembly (The C. elegans Sequencing Consortium 1998). We drew dot plots between sequences of two chromosomes or chromosome sets with GenomeMatcher 3.0.6 (Ohtsubo et al. 2008) using the NUCmer program in MUMmer 4.0.0rc1 (Kurtz et al. 2004); we drew...
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