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Paper Details

BreaKmer: detection of structural variation in targeted massively parallel sequencing data using kmers.
Nucleic Acids Res
144
2015
BreaKmer, SV, assembled consensus sequence, cancer, kmers, misaligned sequence reads, non-, novel variants, reference genome, tandem duplications, tumor, tumor biopsies
Author NameAffiliation
Matthew DucarCenter for Cancer Genome Discovery and Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School
Aaron R ThornerCenter for Cancer Genome Discovery and Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School
William C HahnCenter for Cancer Genome Discovery and Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, USA Broad Institute of Harvard and MIT
William C HahnCenter for Cancer Genome Discovery and Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, USA Broad Institute of Harvard and MIT
Matthew MeyersonCenter for Cancer Genome Discovery and Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Brigham and Women's Hospital, USA Broad Institute of Harvard and MIT
Matthew MeyersonCenter for Cancer Genome Discovery and Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Brigham and Women's Hospital, USA Broad Institute of Harvard and MIT
Paul Van HummelenCenter for Cancer Genome Discovery and Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School
Laura E MacConaillCenter for Cancer Genome Discovery and Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Brigham and Women's Hospital
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