Hdu 1080 Human Gene Functions (dynamic planning)

Source: Internet
Author: User

Human Gene Functions Time Limit: 2000/1000 MS (Java/Others) Memory Limit: 65536/32768 K (Java/Others)
Total Submission (s): 2402 Accepted Submission (s): 1360


Problem DescriptionIt is well known that a human gene can be considered as a sequence, consisting of four nucleus otides, which are simply denoted by four letters, A, C, G, and T. biologists have been interested in identifying human genes and determining their functions, because these can be used to diagnose human diseases and to design new drugs for them.

A human gene can be identified through a series of time-consuming biological experiments, often with the help of computer programs. once a sequence of a gene is obtained, the next job is to determine its function. one of the methods for biologists to use in determining the function of a new gene sequence that they have just identified is to search a database with the new gene as a query. the database to be searched stores into gene sequences and their functions-your researchers have been submitting their genes and functions to the database and the database is freely accessible through the Internet.

A database search will return a list of gene sequences from the database that are similar to the query gene. biologists assume that sequence similarity often implies functional similarity. so, the function of the new gene might be one of the functions that the genes from the list have. to exactly determine which one is the right one another series of biological experiments will be needed.

Your job is to make a program that compares two genes and determines their similarity as explained below. Your program may be used as a part of the database search if you can provide an efficient one.

Given two genes AGTGATG and GTTAG, how similar are they? One of the methods to measure the similarity of two genes is called alignment. in an alignment, spaces are inserted, if necessary, in appropriate positions of the genes to make them equally long and score the resulting genes according to a scoring matrix.

For example, one space is inserted into AGTGATG to result in AGTGAT-G, and three spaces are inserted into GTTAG to result in-GT--TAG. A space is denoted by a minus sign (-). the two genes are now of equal length. these two strings are aligned:

AGTGAT-G
GT--TAG

In this alignment, there are four matches, namely, G in the second position, T in the third, T in the sixth, and G in the eighth. each pair of aligned characters is assigned a score according to the following scoring matrix.

* Denotes that a space-space match is not allowed. the score of the alignment above is (-3) + 5 + 5 + (-2) + (-3) + 5 + (-3) + 5 = 9.

Of course, incluother alignments are possible. One is shown below (a different number of spaces are inserted into different positions ):

AGTGATG
GTTA-G

This alignment gives a score of (-3) + 5 + 5 + (-2) + 5 + (-1) + 5 = 14. so, this one is better than the previous one. as a matter of fact, this one is optimal since no other alignment can have a higher score. so, it is said that the similarity of the two genes is 14.
 
InputThe input consists of T test cases. the number of test cases) (T is given in the first line of the input. each test case consists of two lines: each line contains an integer, the length of a gene, followed by a gene sequence. the length of each gene sequence is at least one and does not exceed 100.
 
OutputThe output shocould print the similarity of each test case, one per line.
 
Sample Input
2 7 AGTGATG 5 GTTAG 7 AGCTATT 9 AGCTTTAAA
 
Sample Output
14 21
 

Evaluate the maximum weight of two string matches. dp [I] [j] indicates the maximum value of the two strings that are I and j respectively.

Each character can be matched with or without spaces,

Dp [I] [j] = max (dp [i-1] [j-1] + v [I] [j], dp [i-1] [j] + v [I] [kong], dp [I] [j-1] + v [kong] [j]);

V [I] [j] indicates the weight of matching characters I and j.

# Include <stdio. h> # include <string. h> # include <stdlib. h> # define LL _ int64const int inf = 0x1f1f1f1f; # define N 110 int a [5] [5] = {5,-1,-2,-1, -3}, {-,-3,-2,-4}, {-2,-,-2,-2}, {-1,-2, -,-1}, {-3,-4,-2,-1,-inf}; // map the character number to a two-dimensional array char s1 [N]. s2 [N]; int dp [N] [N]; int change (char c) // Find the number corresponding to each character {if (c = 'a ') return 0; else if (c = 'C') return 1; else if (C = 'g') return 2; else if (c ='t ') return 3;} int mmax (int a, I Nt B, int c) {int t = a> B? A: B; t = t> c? T: c; return t;} int main () {int tt, n, m, I, j; scanf ("% d", & tt); while (tt --) {scanf ("% d % s", & n, s1); scanf ("% d % s", & m, s2); int k = 4; // space number memset (dp, 0, sizeof (dp); for (I = 1; I <= n; I ++) // a dp [I] [0] string with the length of I and the maximum value of the null string matching dp [I] [0] = dp [i-1] [0] + a [change (s1 [i-1])] [k]; for (I = 1; I <= m; I ++) dp [0] [I] = dp [0] [i-1] + a [change (s2 [i-1])] [k]; for (I = 1; I <= n; I ++) {int u = change (s1 [i-1]); for (j = 1; j <= m; j ++) {int v = change (s2 [j-1]); dp [I] [j] = mmax (dp [i-1] [j-1] + a [u] [v], dp [i-1] [j] + a [u] [k], dp [I] [j-1] + a [k] [v]); // printf ("% d", dp [I] [j]);} // puts ("");} printf ("% d \ n ", dp [n] [m]);} return 0 ;}












Hdu 1080 Human Gene Functions (dynamic planning)

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