Multiresolution analysis of DNA Sequences

Eric Linton; Paul Albee; Patrick Kinnicutt; En Bing Lin

doi:10.1109/ICCRD.2010.32

Multiresolution analysis of DNA Sequences

Eric Linton, Paul Albee, Patrick Kinnicutt, En Bing Lin

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

A wavelet based method for transforming DNA sequences is illustrated by using the small subunit of the ribosome. This paper discusses the application of multires- olution analysis on FASTA-formatted DNA sequences using biorthogonal wavelets. Once transformed, the data could be used for pairwise or multiple sequence alignments needed for studies of evolutionary relationships or for gene finding. Further studies of wavelet based methods are also mentioned.

Original language	English
Title of host publication	2nd International Conference on Computer Research and Development, ICCRD 2010
Pages	218-222
Number of pages	5
DOIs	https://doi.org/10.1109/ICCRD.2010.32
State	Published - 2010
Event	2nd International Conference on Computer Research and Development, ICCRD 2010 - Kuala Lumpur, Malaysia Duration: May 7 2010 → May 10 2010

Publication series

Name	2nd International Conference on Computer Research and Development, ICCRD 2010

Conference

Conference	2nd International Conference on Computer Research and Development, ICCRD 2010
Country/Territory	Malaysia
City	Kuala Lumpur
Period	05/7/10 → 05/10/10

Keywords

FASTA
Multiresolution analysis
Wavelet

Access to Document

10.1109/ICCRD.2010.32

Cite this

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title = "Multiresolution analysis of DNA Sequences",

abstract = "A wavelet based method for transforming DNA sequences is illustrated by using the small subunit of the ribosome. This paper discusses the application of multires- olution analysis on FASTA-formatted DNA sequences using biorthogonal wavelets. Once transformed, the data could be used for pairwise or multiple sequence alignments needed for studies of evolutionary relationships or for gene finding. Further studies of wavelet based methods are also mentioned.",

keywords = "FASTA, Multiresolution analysis, Wavelet",

author = "Eric Linton and Paul Albee and Patrick Kinnicutt and Lin, {En Bing}",

year = "2010",

doi = "10.1109/ICCRD.2010.32",

language = "English",

isbn = "9780769540436",

series = "2nd International Conference on Computer Research and Development, ICCRD 2010",

pages = "218--222",

booktitle = "2nd International Conference on Computer Research and Development, ICCRD 2010",

note = "2nd International Conference on Computer Research and Development, ICCRD 2010 ; Conference date: 07-05-2010 Through 10-05-2010",

}

Linton, E, Albee, P, Kinnicutt, P & Lin, EB 2010, Multiresolution analysis of DNA Sequences. in 2nd International Conference on Computer Research and Development, ICCRD 2010., 5489517, 2nd International Conference on Computer Research and Development, ICCRD 2010, pp. 218-222, 2nd International Conference on Computer Research and Development, ICCRD 2010, Kuala Lumpur, Malaysia, 05/7/10. https://doi.org/10.1109/ICCRD.2010.32

Multiresolution analysis of DNA Sequences. / Linton, Eric; Albee, Paul; Kinnicutt, Patrick et al.
2nd International Conference on Computer Research and Development, ICCRD 2010. 2010. p. 218-222 5489517 (2nd International Conference on Computer Research and Development, ICCRD 2010).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Linton, Eric

AU - Albee, Paul

AU - Kinnicutt, Patrick

AU - Lin, En Bing

PY - 2010

Y1 - 2010

N2 - A wavelet based method for transforming DNA sequences is illustrated by using the small subunit of the ribosome. This paper discusses the application of multires- olution analysis on FASTA-formatted DNA sequences using biorthogonal wavelets. Once transformed, the data could be used for pairwise or multiple sequence alignments needed for studies of evolutionary relationships or for gene finding. Further studies of wavelet based methods are also mentioned.

AB - A wavelet based method for transforming DNA sequences is illustrated by using the small subunit of the ribosome. This paper discusses the application of multires- olution analysis on FASTA-formatted DNA sequences using biorthogonal wavelets. Once transformed, the data could be used for pairwise or multiple sequence alignments needed for studies of evolutionary relationships or for gene finding. Further studies of wavelet based methods are also mentioned.

KW - FASTA

KW - Multiresolution analysis

KW - Wavelet

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U2 - 10.1109/ICCRD.2010.32

DO - 10.1109/ICCRD.2010.32

M3 - Conference contribution

AN - SCOPUS:77955204189

SN - 9780769540436

T3 - 2nd International Conference on Computer Research and Development, ICCRD 2010

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BT - 2nd International Conference on Computer Research and Development, ICCRD 2010

T2 - 2nd International Conference on Computer Research and Development, ICCRD 2010

Y2 - 7 May 2010 through 10 May 2010

ER -

Multiresolution analysis of DNA Sequences

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