| Autor: |
Chris Papageorgio, Robert Harrison, Farahnaz B. Rahmatpanah, Kristen Taylor, Wade Davis, Charles W. Caldwell |
| Jazyk: |
angličtina |
| Rok vydání: |
2008 |
| Předmět: |
|
| Zdroj: |
Cancer Informatics, Vol 6 (2008) |
| Druh dokumentu: |
article |
| ISSN: |
1176-9351 |
| DOI: |
10.4137/CIN.S921 |
| Popis: |
Summary The computational aspects of the problem in this paper involve, firstly, selective mapping of methylated DNA clones according to methylation level and, secondly, extracting motif information from all the mapped elements in the absence of prior probability distribution. Our novel implementation of algorithms to map and maximize expectation in this setting has generated data that appear to be distinct for each lymphoma subtype examined. A “clone” represents a polymerase chain reaction (PCR) product (on average ~500 bp) which belongs to a microarray of 8544 such sequences preserving CpG-rich islands (CGIs) [ 1 ]. Accumulating evidence indicates that cancers including lymphomas demonstrate hypermethylation of CGIs “silencing” an increasing number of tumor suppressor (TS) genes which can lead to tumorigenesis. Availability Algorithms are available on request from the authors Contact papageorgioc@health.missouri.edu Supplementary Information available on page 453. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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