Abstract
Genes are reported to constitute only 2-3% of the human genome, whereas repetitive elements (REs)make up a large portion of genomes of human and other eukaryotes. However, existing algorithms or tools for identification of REs as well as biological researches focus on the known specific REs. Thus, we design and implement a tool for unbiased mining of REs for large size genomes, called REMiner, in this paper. REMiner provides fast computation with low memory usage for the huge size of input genomic data. We show some interesting repeat patterns of the human chromosomes, which have not yet been reported. This chromosome-wide survey of complex, but highly-ordered RE array, will provide a foundation for a novel investigation into the genome.
| Original language | English (US) |
|---|---|
| Title of host publication | 2010 International Conference on Information and Communication Technology Convergence, ICTC 2010 |
| Pages | 513-514 |
| Number of pages | 2 |
| DOIs | |
| State | Published - 2010 |
| Event | 2010 International Conference on Information and Communication Technology Convergence, ICTC 2010 - Jeju, Korea, Republic of Duration: Nov 17 2010 → Nov 19 2010 |
Other
| Other | 2010 International Conference on Information and Communication Technology Convergence, ICTC 2010 |
|---|---|
| Country | Korea, Republic of |
| City | Jeju |
| Period | 11/17/10 → 11/19/10 |
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ASJC Scopus subject areas
- Computer Networks and Communications
- Information Systems
Cite this
Unbiased mining tool of repetitive elements and their arrangement structure for large size genomes. / Kim, Woo Chan; Lee, Kang Hoon; Shin, Kyung Seop; You, Ri Na; Shin, Hyeon Seok; Lee, Young Kwan; Cho, Kiho; Cho, Dong Ho.
2010 International Conference on Information and Communication Technology Convergence, ICTC 2010. 2010. p. 513-514 5674772.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Unbiased mining tool of repetitive elements and their arrangement structure for large size genomes
AU - Kim, Woo Chan
AU - Lee, Kang Hoon
AU - Shin, Kyung Seop
AU - You, Ri Na
AU - Shin, Hyeon Seok
AU - Lee, Young Kwan
AU - Cho, Kiho
AU - Cho, Dong Ho
PY - 2010
Y1 - 2010
N2 - Genes are reported to constitute only 2-3% of the human genome, whereas repetitive elements (REs)make up a large portion of genomes of human and other eukaryotes. However, existing algorithms or tools for identification of REs as well as biological researches focus on the known specific REs. Thus, we design and implement a tool for unbiased mining of REs for large size genomes, called REMiner, in this paper. REMiner provides fast computation with low memory usage for the huge size of input genomic data. We show some interesting repeat patterns of the human chromosomes, which have not yet been reported. This chromosome-wide survey of complex, but highly-ordered RE array, will provide a foundation for a novel investigation into the genome.
AB - Genes are reported to constitute only 2-3% of the human genome, whereas repetitive elements (REs)make up a large portion of genomes of human and other eukaryotes. However, existing algorithms or tools for identification of REs as well as biological researches focus on the known specific REs. Thus, we design and implement a tool for unbiased mining of REs for large size genomes, called REMiner, in this paper. REMiner provides fast computation with low memory usage for the huge size of input genomic data. We show some interesting repeat patterns of the human chromosomes, which have not yet been reported. This chromosome-wide survey of complex, but highly-ordered RE array, will provide a foundation for a novel investigation into the genome.
UR - http://www.scopus.com/inward/record.url?scp=78751509815&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=78751509815&partnerID=8YFLogxK
U2 - 10.1109/ICTC.2010.5674772
DO - 10.1109/ICTC.2010.5674772
M3 - Conference contribution
AN - SCOPUS:78751509815
SN - 9781424498062
SP - 513
EP - 514
BT - 2010 International Conference on Information and Communication Technology Convergence, ICTC 2010
ER -