New version page

UMD CMSC 858W - Lecture 2 Exact Matching

Upgrade to remove ads
Upgrade to remove ads
Unformatted text preview:

Lecture 2 Exact MatchingQuestion: Given a pattern (query), does it exist in the text (reference)?Example:1 i n ATTCACTATTCGGCTATGCATNaïve Approach: Look at the first pattern symbol in the text and go from there.Start with the first character of the text and the first character of the pattern and compare each character individually. If a mismatch occurs move the pattern one character and repeat the procedure. Terminate when the remaining characters in the text are less than the characters in the pattern since a match is impossible.Algorithm:Running time: Order of O(nk). Worst case (n-k+1)k = nk – k2 + kQuestion: When will the worst case occur?In a string where the entire pattern has to be compared for each character in the text. The pattern will repeatedly fail to match on the final character.Example: 1 i n AAAAAAAAAAAAAAAAAAAAAT (k comparisons) AAAAT (k comparisons) AAAAT (k comparisons) ... (repeat for n-k characters)How can we improve on this? Can we use knowledge about comparison’s we’ve already for i=1,n-kfor j=1,kif P[j] != T[i+j-1]goto NOMATCH end forfound match @ iNOMATCH end formade?Pre-processing Approach: Information collected in the pre-processing step can speed up the subsequent matching process.Z – Algorithm: Created by Gusfield in order to better explain other string matching algorithms.Definition: Z[i]: length of longest common prefix of T[i..h] and T[0..n]Text: A T T C A C T A T T C G G C T A TZ[i] 0 0 0 0 1 0 0 4 0 0 0 0 0 0 0 2 0Question: Can Z-values help in aligning a pattern to a text?In order to identify occurrences of the pattern in the text define:S = P$T,where $ is a symbol that doesn’t occur in the pattern and in the text. An occurrence is detected if there is a Z[i] with i equal to the length of the pattern. By using this approach detecting the pattern is done by finding the prefixes of the string S.This algorithm does matching in linear time and it does not depend on the alphabet that we are using. If every character we see is something we haven’t seen before then we get the worst computation time!Question: Can Z-values be computer in linear time?Overview of Z-Algorithm:Z[i] will equal the number of characters starting at position i that match the prefix of the pattern.The idea is that we can use a previous Z value at position j to aid us in determining Z[i]. One example is if Z[j] extends past the matched portion position i (as diagramed below), then we already know the value of Z[i]. The characters starting at i must have already been matched to the start of the string. These character comparisons would have occurred when computing the Z value for i-j. Therefore, Z[i] = Z[i-j].k1What if the matched portion of i extends past our previous furthest extending Z[j] (i – j + Z[i-j] > Z[j])? Then the substring that contributes to Z[i-j] goes beyond our current j + Z[j]. We can set Z[i] to Z[j] + j – i + match the prefix starting @ j + Z[j]If a character matches, never look at it again. <=2m total character comparisons.Z-Algorithm:for i := 2,…,n either case 1 or case 2 applies:1. if i > r then compare the characters starting at k with the characters starting at 1. If a mismatch occurs then set ZK to the number of characters that matched. If Zi > 0, set l := i and r := i + Zi - 1; else l,r :=02. if k ≤ r, the position k is inside a Z-box S[l…r] = S[1…Zl]. Thus S[k…r] = S[k’…Zl].Let β = S[k…r];a) If ZK’ < |β|, then the substring that contributes to ZK’ lies inside the box and we can simply set Zk := Zk’.ZK’kk’ZK = ZK’lrββkk’ZK’ZK >= min(ZK’, r)β βlrb) If ZK’ ≥ |β|, then the substring that contributes to ZK’ goes beyond the current Z-Box (>r) and we can set ZK to the right side of the current box (r) and explore the succeeding characters by individually comparing it with the prefix. KMP – Knuth, Morris, Pratt Algorithm:1 i n XYABCXABCXADCDAFEA..ABCXABCDE ABCXABCDESP[i] longest suffix of P from 1 … I that matches prefix of pattern.Jump i – SP[i] characters on mismatch:[End of lecture]Algorithm:For j =1 to n:i = j + Z[j]SP(i) = Z[j]EndProblems with this approach? SP values are overwritten. Easy solution: go from n to 1.Does this fix all the problems?


View Full Document
Download Lecture 2 Exact Matching
Our administrator received your request to download this document. We will send you the file to your email shortly.
Loading Unlocking...
Login

Join to view Lecture 2 Exact Matching and access 3M+ class-specific study document.

or
We will never post anything without your permission.
Don't have an account?
Sign Up

Join to view Lecture 2 Exact Matching 2 2 and access 3M+ class-specific study document.

or

By creating an account you agree to our Privacy Policy and Terms Of Use

Already a member?