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Showing 1 to 4 of 4 for “"Variation graphs"”.

  1. Variation-aware algorithms for cancer genome analysis

    In this thesis, I explore variation-aware algorithms for analyzing cancer genomes. The scientific community has extensively catalogued millions of mutations present in cancer cells. This information is rarely used during read alignment and variant calling because of a lack of algorithms for doing …

    cambridge Repository record for Variation-aware algorithms for cancer genome analysis (opens in a new tab)

  2. Graphical pangenomics

    … To do so I formalize the concept of a variation graph to link genomes to a graphical model of their mutual alignment that is capable of representing any kind of genomic variation, both small and large. As this model combines both sequence and variation information in one structure it …

    cambridge Repository record for Graphical pangenomics (opens in a new tab)

  3. Co-linear Chaining on Graphs With Cycles

    … been solved theoretically on a special class of graphs that are narrow and have no cycles, i.e. directed acyclic graphs (DAGs) with small width, by Mäkinen et al. (ACM Transactions on Algorithms, 2019). Pan-genome graphs such as variation graphs satisfy these restrictions but allowing cycles may …

    helsinki Repository record for Co-linear Chaining on Graphs With Cycles (opens in a new tab)

  4. Long read mapping at scale: Algorithms and applications

    … representations, where the graph encodes genetic variations in a human population also becomes imperative. This dissertation work is focused on provably good and scalable algorithms for mapping long reads to both linear and graph references. We make the following contributions: 1. We develop fast …

    gatech Repository record for Long read mapping at scale: Algorithms and applications (opens in a new tab)