Abstract
The presence of repetitive elements can create serious problems for sequence analysis, especially in the case of homology searches in nucleotide sequence databases. Repetitive elements should be treated carefully by using special programs and databases. In this paper, various aspects of SINE (short interspersed repetitive element) identification, analysis and evolution are discussed.
Original language | English |
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Pages (from-to) | 260-274 |
Number of pages | 15 |
Journal | Briefings in bioinformatics |
Volume | 1 |
Issue number | 3 |
DOIs | |
State | Published - 2000 |
Externally published | Yes |
ASJC Scopus Subject Areas
- Information Systems
- Molecular Biology