Efficient estimation of emission probabilities in profile hidden Markov models.

Forskningsoutput: TidskriftsbidragArtikel i vetenskaplig tidskrift

Standard

Efficient estimation of emission probabilities in profile hidden Markov models. / Ahola, Virpi; Aittokallio, Tero; Uusipaikka, Esa; Vihinen, Mauno.

I: Bioinformatics, Vol. 19, Nr. 18, 2003, s. 2359-2368.

Forskningsoutput: TidskriftsbidragArtikel i vetenskaplig tidskrift

Harvard

Ahola, V, Aittokallio, T, Uusipaikka, E & Vihinen, M 2003, 'Efficient estimation of emission probabilities in profile hidden Markov models.', Bioinformatics, vol. 19, nr. 18, s. 2359-2368.

APA

Ahola, V., Aittokallio, T., Uusipaikka, E., & Vihinen, M. (2003). Efficient estimation of emission probabilities in profile hidden Markov models. Bioinformatics, 19(18), 2359-2368.

CBE

MLA

Vancouver

Author

Ahola, Virpi ; Aittokallio, Tero ; Uusipaikka, Esa ; Vihinen, Mauno. / Efficient estimation of emission probabilities in profile hidden Markov models. I: Bioinformatics. 2003 ; Vol. 19, Nr. 18. s. 2359-2368.

RIS

TY - JOUR

T1 - Efficient estimation of emission probabilities in profile hidden Markov models.

AU - Ahola, Virpi

AU - Aittokallio, Tero

AU - Uusipaikka, Esa

AU - Vihinen, Mauno

PY - 2003

Y1 - 2003

N2 - Profile hidden Markov models provide a sensitive method for performing sequence database search and aligning multiple sequences. One of the drawbacks of the hidden Markov model is that the conserved amino acids are not emphasized, but signal and noise are treated equally. For this reason, the number of estimated emission parameters is often enormous. Focusing the analysis on conserved residues only should increase the accuracy of sequence database search.

AB - Profile hidden Markov models provide a sensitive method for performing sequence database search and aligning multiple sequences. One of the drawbacks of the hidden Markov model is that the conserved amino acids are not emphasized, but signal and noise are treated equally. For this reason, the number of estimated emission parameters is often enormous. Focusing the analysis on conserved residues only should increase the accuracy of sequence database search.

KW - Sequence Alignment: methods

KW - Proteins: classification

KW - Proteins: chemistry

KW - Enzymes: classification

KW - Enzymes: chemistry

KW - Amino Acids: chemistry

KW - Amino Acids: classification

KW - Sequence Analysis

KW - Protein: methods

M3 - Article

VL - 19

SP - 2359

EP - 2368

JO - Bioinformatics

T2 - Bioinformatics

JF - Bioinformatics

SN - 1367-4803

IS - 18

ER -