Name
Abstract | ||
|---|---|---|
Differentially methylated regions (DMRs) are segments or islands of consecutive sequence positions, showing methylation enrichment or depletion compared to each other in different samples or tissues. The identification of DMRs is a crucial first step in the discovery of biomarkers for non-invasive prenatal diagnosis of aneuploidies such as Trisomy 21. In this paper we describe an algorithm to automatically identify the manifestation of DMRs on arrays. Our approach, methylation status mask AND (MS-AND), influenced by the SHIFT-AND methodology, uses bit operations and masking and can be applied to any microarray dataset in General Feature Format (GFF). We show the effectiveness and utilization of our algorithm using data from Methylated DNA Immunoprecipitation arrays for the identification of DMRs in chromosomes 13, 18 and 21. The algorithm runs on Linux and on Windows systems and an implementation is available at sourceforge (http://sourceforge.net/projects/ms-and). |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/BIBE.2013.6701643 | 2013 IEEE 13TH INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOENGINEERING (BIBE) |
Keywords | Field | DocType |
lab on a chip,data analysis,genetics,dna | Differentially methylated regions,Cellular biophysics,Microarray,Methylated DNA immunoprecipitation,Computer science,Methylation,Microarray analysis techniques,Bioinformatics | Conference |
ISSN | Citations | PageRank |
2471-7819 | 0 | 0.34 |
References | Authors | |
5 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Pavlos Antoniou | 1 | 353 | 17.04 |
| Spiros Michalakopoulos | 2 | 25 | 3.17 |
| Elisavet A. Papageorgiou | 3 | 0 | 0.34 |
| Philippos C. Patsalis | 4 | 0 | 0.34 |
| Carolina Sismani | 5 | 0 | 0.34 |