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Update README.md
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nicola-calonaci authored Mar 18, 2024
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INCOMMON is a tool for the INference of COpy number and
Mutation Multiplicity in ONcology. INCOMMON infers the copy number
and multiplicity of somatic mutations from tumour-only
read count data, and can applied to classify mutations from
read count data, and can be applied to classify mutations from
large-size datasets in an efficient and fast way. Mutations are classified
as either Tier-1 (present in 100% cells) without copy-number alterations (heterozygous mutant diploid HMD),
with loss of heterozygosity (LOH), copy-neutral LOH (CNLOH), amplification (AM), or Tier-2 (subclonal
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