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 be playing 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) |
|---|---|
| Title of host publication | IMTC'05 - Proceedings of the IEEE Instrumentation and Measurement Technology Conference |
| Pages | 267-270 |
| Number of pages | 4 |
| Volume | 1 |
| DOIs | |
| State | Published - Dec 1 2005 |
| Externally published | Yes |
| Event | IMTC'05 - Proceedings of the IEEE Instrumentation and Measurement Technology Conference - Ottawa, ON, Canada Duration: May 16 2005 → May 19 2005 |
Other
| Other | IMTC'05 - Proceedings of the IEEE Instrumentation and Measurement Technology Conference |
|---|---|
| Country | Canada |
| City | Ottawa, ON |
| Period | 5/16/05 → 5/19/05 |
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Keywords
- Clustering
- DNA
- Molecular sequence analysis
- Repetitive elements
ASJC Scopus subject areas
- Instrumentation
Cite this
Detecting localized interspersed motifs in genomic sequences. / Jin, Victor X; Turcotte, Marcel.
IMTC'05 - Proceedings of the IEEE Instrumentation and Measurement Technology Conference. Vol. 1 2005. p. 267-270 1604114.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Detecting localized interspersed motifs in genomic sequences
AU - Jin, Victor X
AU - Turcotte, Marcel
PY - 2005/12/1
Y1 - 2005/12/1
N2 - 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 be playing an important role in generating multigene families. Here, we define the concept of localized interspersed motifs and present a computational approach for detecting them.
AB - 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 be playing an important role in generating multigene families. Here, we define the concept of localized interspersed motifs and present a computational approach for detecting them.
KW - Clustering
KW - DNA
KW - Molecular sequence analysis
KW - Repetitive elements
UR - http://www.scopus.com/inward/record.url?scp=33847203329&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=33847203329&partnerID=8YFLogxK
U2 - 10.1109/IMTC.2004.1351042
DO - 10.1109/IMTC.2004.1351042
M3 - Conference contribution
AN - SCOPUS:33847203329
SN - 078038248X
SN - 0780388798
SN - 9780780388796
VL - 1
SP - 267
EP - 270
BT - IMTC'05 - Proceedings of the IEEE Instrumentation and Measurement Technology Conference
ER -