Abstract
Repeated sequences account for a significant fraction of Eukaryotic genomes-nearly half of the human genome consists of repeated-sequence elements. Several elements have been linked to diseases. Consequently, identifying and characterizing repeated elements is essential for understanding diseases at the molecular level. Repeated sequences vary from one genome to another and are, therefore, difficult to identify using sequence-comparison methods alone. Certain gene families, such as the interferon gene family or the natural killer-gene complex, have been found to be clustered together in the genome. Several observations have lead to the hypothesis that specific sequence repeats could play an important role in generating multigene families. Here, we define the concept of localized interspersed motifs and present a computational approach for detecting them.
Original language | English (US) |
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Pages (from-to) | 1770-1775 |
Number of pages | 6 |
Journal | IEEE Transactions on Instrumentation and Measurement |
Volume | 56 |
Issue number | 5 |
DOIs | |
State | Published - Oct 1 2007 |
Externally published | Yes |
Keywords
- Bioinformatics
- Clustering
- Genomes
- Sequence analysis
- Sequence repeats
- Statistical modeling
ASJC Scopus subject areas
- Instrumentation
- Electrical and Electronic Engineering