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Showing 1 to 3 of 3 for “"Genomes--Analysis"”.

  1. Improving genome assembly by identifying reliable sequencing data

    De novo Genome assembly and k-mer frequency counting are two of the classical prob- lems of Bioinformatics. k-mer counting helps to identify genomic k-mers from sequenced reads which may then inform read correction or genome assembly. Genome assembly has two major subproblems: contig construction …

    rutgers

  2. Algorithms for analyzing complex structural variations in cancer genomes

    Analysis of somatic alterations in cancer genomes has been accelerated through the rapid growth of the quantity, quality and depth of data generated by next-generation sequencing (NGS). Previously most of cancer genome studies were focusing on single nucleotide variations (SNVs), small insertions …

    uiuc Repository record for Algorithms for analyzing complex structural variations in cancer genomes (opens in a new tab)