http://www.cnr.it/ontology/cnr/individuo/prodotto/ID72365
Using Secondary Structure Information to Perform Multiple Alignmen (Articolo in rivista)
- Type
- Label
- Using Secondary Structure Information to Perform Multiple Alignmen (Articolo in rivista) (literal)
- Anno
- 2005-01-01T00:00:00+01:00 (literal)
- Alternative label
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
- Armano G., Milanesi L., and Orro A (literal)
- Pagina inizio
- Pagina fine
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
- G. Armano is with the Department of Electrical and Electronic Engineering
(DIEE), University of Cagliari, Cagliari I-09123, Italy (e-mail:
armano@diee.unica.it).
L. Milanesi is with the Institute for Biomedical Technologies (ITB), CNR,
Segrate I-20090, Milano, Italy.
A. Orro is with the Department of Electrical and Electronic Engineering
(DIEE), University of Cagliari, Cagliari I-09123, Italy. (literal)
- Titolo
- Using Secondary Structure Information to Perform Multiple Alignmen (literal)
- Abstract
- In this paper an approach devised to perform multiple alignment
is described, able to exploit any available secondary structure information.
In particular, given the sequences to be aligned, their secondary
structure (either available or predicted) is used to perform an initial
alignment to be refined by means of locally-scoped operators entrusted
with rearranging the primary level. Aimed at evaluating both the performance
of the technique and the impact of true secondary structure
information on the quality of alignments, a suitable algorithm has been
implemented and assessed on relevant test cases. Experimental results
point out that the proposed solution is particularly effective when used
to align low similarity protein sequences. (literal)
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