1 / 15

Space-Saving Strategies for Computing Δ -points

Space-Saving Strategies for Computing Δ -points. Kun-Mao Chao ( 趙坤茂 ) Department of Computer Science and Information Engineering National Taiwan University, Taiwan WWW: http://www.csie.ntu.edu.tw/~kmchao. Δ -points. S - ( i, j ) : the best score of a path from (0, 0) to ( i , j ).

bmercado
Télécharger la présentation

Space-Saving Strategies for Computing Δ -points

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Space-Saving Strategies for Computing Δ-points Kun-Mao Chao (趙坤茂) Department of Computer Science and Information Engineering National Taiwan University, Taiwan WWW: http://www.csie.ntu.edu.tw/~kmchao

  2. Δ-points • S-(i, j): the best score of a path from (0, 0) to (i, j). • S+(i, j): the best score of a path from (i, j) to (M, N). • Δ-points: S-(i, j) + S+( i, j) >= Δ S - S +

  3. The leftmost/rightmost Δ-paths For simple scoring schemes, finding the leftmost Δ-path and the rightmost Δ-path is easy. For affine gap penalties, it is more complicated.

  4. Two alignments may not intersect!

  5. Method 1: O(MN) time; O(MN) space S - S + N M

  6. Method 2: O(M2N) time; O(N) space N S - Each row takes O(MN) time.In total, O(M) x O(MN) = O(M2N) S + M

  7. Method 3: O(MN) time; O(N) space N S - S + M

  8. Method 4: O(MN log M) time; O(N log M) space N S - S + M

  9. Method 4: O(MN log M) time; O(N log M) space (cont’d) N … O(log M) layers M O(N) O(N) O(N) O(N) O(N)

  10. Method 5: O(MN log min {M, N}) time; O(M+N) space N M

  11. Method 6: O(MN log log min {M, N}) time; O(M+N) space Real Size 1/25 1/23 N 1/210 1/25 1/22 M 1/29 1/219

  12. Method 7: O(1/ε MN) time; O(1/εMεN) spaceHere we use ε= 1/2 to illustrate the idea. N Solve each M1/2N problem M1/2 S - S + M

  13. Method 8: O(1/εMN) time; O(1/εM1+ε+ N) spaceHere we use ε= 1/2 to illustrate the idea. M 2M 3M N M O(N) M Solve each M1/2M problem M1/2 S - S + M

  14. Methods Method 1: O(MN) time; O(MN) space Method 2: O(M2N) time; O(M) space Method 3: O(MN) time; O(M) space Method 4: O(MN log M) time; O(N log M) space Method 5: O(MN log min {M, N}) time; O(M+N) space Method 6: O(MN log log min {M, N}) time; O(M+N) space Method 7: O(1/εMN) time; O(1/ εMεN) space Method 8: O(1/εMN) time; O(1/εM1+ε+ N) space

  15. Bonus points • O(MN) time; O(M+N) space • o(MN log log min {M, N}) time; O(M+N) space • O(1/εMN) time; o(1/εM1+ε+N) space

More Related