A segmental maximum a posteriori approach to genome-wide copy number profiling

Research output: Contribution to journalJournal articleResearchpeer-review

  • Andersson, Robin
  • Carl E G Bruder
  • Arkadiusz Piotrowski
  • Uwe Menzel
  • Helena Nord
  • Johanna Sandgren
  • Torgeir R Hvidsten
  • Teresita Diaz de Ståhl
  • Jan P Dumanski
  • Jan Komorowski
Copy number profiling methods aim at assigning DNA copy numbers to chromosomal regions using measurements from microarray-based comparative genomic hybridizations. Among the proposed methods to this end, Hidden Markov Model (HMM)-based approaches seem promising since DNA copy number transitions are naturally captured in the model. Current discrete-index HMM-based approaches do not, however, take into account heterogeneous information regarding the genomic overlap between clones. Moreover, the majority of existing methods are restricted to chromosome-wise analysis.
Original languageEnglish
JournalBioinformatics (Online)
Volume24
Issue number6
Pages (from-to)751-8
Number of pages8
ISSN1367-4811
DOIs
Publication statusPublished - 15 Mar 2008
Externally publishedYes

    Research areas

  • Algorithms, Artificial Intelligence, Base Sequence, Chromosome Mapping, Gene Dosage, Gene Expression Profiling, Markov Chains, Molecular Sequence Data, Oligonucleotide Array Sequence Analysis, Pattern Recognition, Automated

ID: 106776275