The variation in DNA copy number carries information on the modalities of
genome evolution and misregulation of DNA replication in cancer cells; its
study can be helpful to localize tumor suppressor genes, distinguish different
populations of cancerous cell, as well identify genomic variations responsible
for disease phenotypes. A number of different high throughput technologies can
be used to identify copy number variable sites, and the literature documents
multiple effective algorithms.
Recent advances in genomics have underscored the surprising ubiquity of DNA
copy number variation (CNV). Fortunately, modern genotyping platforms also
detect CNVs with fairly high reliability. Hidden Markov models and algorithms
have played a dominant role in the interpretation of CNV data. Here we explore
CNV reconstruction via estimation with a fused-lasso penalty as suggested by
Tibshirani and Wang (2008).