POJ1080-Human Gene Functions

介绍了一种用于比较两个基因序列相似性的算法,该算法通过插入空格使序列等长并根据给定的评分矩阵计算匹配得分,适用于生物信息学中的基因功能预测。

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Human Gene Functions
Time Limit: 1000MS Memory Limit: 10000K
Total Submissions: 14314 Accepted: 7935

Description

It is well known that a human gene can be considered as a sequence, consisting of four nucleotides, 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 many gene sequences and their functions – many 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, many other 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.

Input

The input consists of T test cases. The number of test cases ) (T is given in the first line of the input file. 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.

Output

The output should 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 

Source

 

以下内容转自:優YoU http://user.qzone.qq.com/289065406/blog/1300550378

LCS的变形而已

注意LCS的子串可以是离散的,不必连续,用动态规划

设dp[i][j]为取s1第i个字符,s2第j个字符时的最大分值

则决定dp为最优的情况有三种(score[][]为s1[i]和s2[j]两符号的分数):

1、  s1取第i个字母,s2取“ - ”: dp[i-1][j]+score[ s1[i-1] ]['-'];

2、  s1取“ - ”,s2取第j个字母:dp[i][j-1]+score['-'][ s2[j-1] ];

3、  s1取第i个字母,s2取第j个字母:dp[i-1][j-1]+score[ s1[i-1] ][ s2[j-1] ];

即dp[i][j]=max( dp[i-1][j]+score[ s1[i-1] ]['-'],

dp[i][j-1]+score['-'][ s2[j-1] ],

dp[i-1][j-1]+score[ s1[i-1] ][ s2[j-1] ] );

注意初始化

不仅仅只有

dp[0][0] = 0

也不仅仅是

dp[0][0] = 0

dp[1][0] = score[ s1[i-1] ]['-']

dp[0][1] = score['-'][ s2[j-1] ]

必须全面考虑到所有情况,

当i=j=0时,dp[i][j]=0

当i=0时,dp[0,j] = dp[0][j-1] + score['-'][ s2[j-1] ]

当j=0时,dp[i,0] = dp[i-1][0] + score[ s1[i-1] ]['-']

 

//Memory Time 
//300K   0MS  

#include<iostream>
using namespace std;
const int inf=-5;  //无穷小

int score['T'+1]['T'+1];  //积分表

void initial(void)  //打表
{
	score['A']['A']=5;
	score['C']['C']=5;
	score['G']['G']=5;
	score['T']['T']=5;
	score['-']['-']=inf;
	score['A']['C']=score['C']['A']=-1;
	score['A']['G']=score['G']['A']=-2;
	score['A']['T']=score['T']['A']=-1;
	score['A']['-']=score['-']['A']=-3;
	score['C']['G']=score['G']['C']=-3;
	score['C']['T']=score['T']['C']=-2;
	score['C']['-']=score['-']['C']=-4;
	score['G']['T']=score['T']['G']=-2;
	score['G']['-']=score['-']['G']=-2;
	score['T']['-']=score['-']['T']=-1;
	return;
}

int max(int a,int b,int c)
{
	int k=(b>c?b:c);
	return a>k?a:k;   //注意求三个数最大值时,a>b?a:(b>c?b:c)在C++中是错误的
}                     //b的值没有因为(b>c?b:c)而改变,必须把三个数拆开求最大值

int main(int i,int j)
{
	initial();

	int test;
	cin>>test;
	while(test--)
	{
		/*Input*/

		int len1,len2;

		cin>>len1;
		char* s1=new char[len1+1];
		cin>>s1;

		cin>>len2;
		char* s2=new char[len2+1];
		cin>>s2;

		int **dp=new int*[len1+1];   //申请动态二维数组,第一维
		dp[0]=new int[len2+1];

		/*Initial*/

		dp[0][0]=0;
		for(i=1;i<=len1;i++)
		{
			dp[i]=new int[len2+1];  //申请动态二维数组,第二维
			dp[i][0]=dp[i-1][0]+score[ s1[i-1] ]['-'];   //注意下标,dp数组是从1开始,s1和s2都是从0开始
		}
		for(j=1;j<=len2;j++)
			dp[0][j]=dp[0][j-1]+score['-'][ s2[j-1] ];
		
		/*Dp*/

		for(i=1;i<=len1;i++)
			for(j=1;j<=len2;j++)
			{
				int temp1=dp[i-1][j]+score[ s1[i-1] ]['-'];
			    int temp2=dp[i][j-1]+score['-'][ s2[j-1] ];
			    int temp3=dp[i-1][j-1]+score[ s1[i-1] ][ s2[j-1] ];
			    dp[i][j]=max(temp1,temp2,temp3);
			}

		cout<<dp[len1][len2]<<endl;

		delete[] dp;
	}
	return 0;
}

(POJ 1458的加强版)

 
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