EXPERIMENT_TITLE: Mixture - IV
STUDY_DESCRIPTOR_STUDY_ABSTRACT: We developed a new computational framework, HiDENSEC (Hi-C based Direct Estimation of Copy Number and Structural rEarrangements in Cancer cells), to estimate the fraction of cancer cells in mixed samples, infer absolute copy number over the genome, detect and ascribe copy number to large-scale structural variants (LSSVs) using proximity ligation sequencing data from formalin-fixed tumor samples (Fix-C).
SAMPLE_TITLE: Mixture - IV
SAMPLE_SAMPLE_ATTRIBUTES_SAMPLE_ATTRIBUTE: [{"TAG": "isolate", "VALUE": "67% GM12878 33% HCC1187 Replicate 2"}, {"TAG": "age", "VALUE": "not applicable"}, {"TAG": "biomaterial_provider", "VALUE": "Dirk Hockemeyer"}, {"TAG": "sex", "VALUE": "not applicable"}, {"TAG": "tissue", "VALUE": "not applicable"}, {"TAG": "BioSampleModel", "VALUE": "Human"}]
Pool_Member_@attributes_sample_title: Mixture - IV
RUN_SET_RUN_Pool_Member_@attributes_sample_title: Mixture - IV
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