TY - GEN
T1 - Estimating seed sensitivity on homogeneous alignments
AU - Kucherov, Gregory
AU - Noé, Laurent
AU - Ponty, Yann
PY - 2004/1/1
Y1 - 2004/1/1
N2 - We address the problem of estimating the sensitivity of seed-based similarity search algorithms. In contrast to approaches based on Markov models [18, 6, 3, 4, 10], we study the estimation based on homogeneous alignments. We describe an algorithm for counting and random generation of those alignments and an algorithm for exact computation of the sensitivity for a broad class of seed strategies. We provide experimental results demonstrating a bias introduced by ignoring the homogeneousness condition.
AB - We address the problem of estimating the sensitivity of seed-based similarity search algorithms. In contrast to approaches based on Markov models [18, 6, 3, 4, 10], we study the estimation based on homogeneous alignments. We describe an algorithm for counting and random generation of those alignments and an algorithm for exact computation of the sensitivity for a broad class of seed strategies. We provide experimental results demonstrating a bias introduced by ignoring the homogeneousness condition.
U2 - 10.1109/BIBE.2004.1317369
DO - 10.1109/BIBE.2004.1317369
M3 - Conference contribution
AN - SCOPUS:4544227949
SN - 0769521738
SN - 9780769521732
T3 - Proceedings - Fourth IEEE Symposium on Bioinformatics and Bioengineering, BIBE 2004
SP - 387
EP - 394
BT - Proceedings - Fourth IEEE Symposium on Bioinformatics and Bioengineering, BIBE 2004
PB - IEEE Computer Society
T2 - Proceedings - Fourth IEEE Symposium on Bioinformatics and Bioengineering, BIBE 2004
Y2 - 19 May 2004 through 21 May 2004
ER -