题目:

Problem 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. 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

题解:

类似于求lcs一样地dp,用f[i][j]表示第一个字符串匹配了前i个,第二个字符串匹配了前j个时的最高分数····推出dp方程:

f[i][j]=max(f[i-1][j-1]+table[a[i]][b[j]],max(f[i-1][j]+table[a[i]][4],f[i][j-1]+table[4][b[j]]));

其中table是题目中的分数表格····

代码:

#include<iostream>
#include<cstdio>
#include<cstdlib>
#include<cmath>
#include<ctime>
#include<cctype>
#include<cstring>
#include<string>
#include<algorithm>
using namespace std;
const int N=;
const int table[][]={,-,-,-,-,
-,,-,-,-,
-,-,,-,-,
-,-,-,,-,
-,-,-,-,};
int n,m,T,a[N],b[N],f[N][N];
char s[N],t[N];
int trans(char s[],int i)
{
if(s[i]=='A') return ;
else if(s[i]=='C') return ;
else if(s[i]=='G') return ;
else if(s[i]=='T') return ;
}
int main()
{
//freopen("a.in","r",stdin);
scanf("%d",&T);
while(T--)
{
scanf("%d%s%d%s",&n,s+,&m,t+);memset(f,,sizeof(f));
for(int i=;i<=n;i++) a[i]=trans(s,i);
for(int i=;i<=m;i++) b[i]=trans(t,i);
for(int i=;i<=n;i++) f[i][]=f[i-][]+table[a[i]][];
for(int i=;i<=m;i++) f[][i]=f[][i-]+table[][b[i]];
for(int i=;i<=n;i++)
for(int j=;j<=m;j++)
f[i][j]=max(f[i-][j-]+table[a[i]][b[j]],max(f[i-][j]+table[a[i]][],f[i][j-]+table[][b[j]]));
cout<<f[n][m]<<endl;
}
return ;
}

刷题总结——Human Gene Functions(hdu1080)的更多相关文章

  1. hdu1080 Human Gene Functions() 2016-05-24 14:43 65人阅读 评论(0) 收藏

    Human Gene Functions Time Limit: 2000/1000 MS (Java/Others)    Memory Limit: 65536/32768 K (Java/Oth ...

  2. poj 1080 ——Human Gene Functions——————【最长公共子序列变型题】

    Human Gene Functions Time Limit: 1000MS   Memory Limit: 10000K Total Submissions: 17805   Accepted:  ...

  3. poj 1080 Human Gene Functions(lcs,较难)

    Human Gene Functions Time Limit: 1000MS   Memory Limit: 10000K Total Submissions: 19573   Accepted:  ...

  4. POJ 1080:Human Gene Functions LCS经典DP

    Human Gene Functions Time Limit: 1000MS   Memory Limit: 10000K Total Submissions: 18007   Accepted:  ...

  5. Human Gene Functions

    Human Gene Functions Time Limit: 1000MS Memory Limit: 10000K Total Submissions: 18053 Accepted: 1004 ...

  6. 【POJ 1080】 Human Gene Functions

    [POJ 1080] Human Gene Functions 相似于最长公共子序列的做法 dp[i][j]表示 str1[i]相应str2[j]时的最大得分 转移方程为 dp[i][j]=max(d ...

  7. 杭电20题 Human Gene Functions

    Problem Description It is well known that a human gene can be considered as a sequence, consisting o ...

  8. poj1080 - Human Gene Functions (dp)

    题面 It is well known that a human gene can be considered as a sequence, consisting of four nucleotide ...

  9. POJ 1080 Human Gene Functions -- 动态规划(最长公共子序列)

    题目地址:http://poj.org/problem?id=1080 Description It is well known that a human gene can be considered ...

随机推荐

  1. Python-DDT实现接口自动化

    Get请求参数化例子 import unittest import requests import ddt @ddt.ddt class MyTestCase(unittest.TestCase): ...

  2. 解决在matplotlib使用中文的问题

    原生的matplotlib并不支持直接使用中文,而需要修改一下相应的文件,上网搜了下,找到一个最简洁的办法. NO.1 找到matplotlibrc文件 C:\Python26\Lib\site-pa ...

  3. CV做直方图的比较说明图形越相似性

    #include "opencv/cv.hpp" #include "opencv2/objdetect/objdetect.hpp" #include &qu ...

  4. MySQL对数据库数据进行复制的基本过程详解

    MySQL对数据库数据进行复制的基本过程详解 这篇文章主要介绍了MySQL对数据库数据进行复制的基本过程,解读了Slave的一些相关配置,需要的朋友可以参考下 复制 复制是从一个MySQL服务器(ma ...

  5. iOS 多线程编程

    参考文章: iOS多线程编程之NSThread的使用http://blog.csdn.net/totogo2010/article/details/8010231 iOS多线程编程之NSOperati ...

  6. 测试 code style

    c++ #include <iostream> int main(int argc, char *argv[]) { /* An annoying "Hello World&qu ...

  7. Template 基础篇-函数模板(待看

    Template 基础篇-函数模板 Template所代表的泛型编程是C++语言中的重要的组成部分,我将通过几篇blog对这半年以来的学习做一个系统的总结,本文是基础篇的第一部分. Template ...

  8. 【费用流】 ICPC 2016 China Final J. Mr.Panda and TubeMaster

    表示“必须选”的模型 题目大意 题目分析 一个格子有四种方式看上去很难处理.将横竖两个方向分开考虑,会发现:因为收益只与相邻格子是否连通有关,所以可以将一个格子拆成表示横竖两个方向的,互相独立的点. ...

  9. thinkcmf常用标签

    1.图片地址:{:cmf_get_image_url($vo.icon)} 2.模板控件 模板变量调用:$theme_vars.title <widget name="aboutUs& ...

  10. 用Python对微信好友进行简单统计分析,获取好友的基本信息!

      早些日子有人问我我的微信里面有一共多少朋友,我就随后拉倒了通讯录最下面就找到了微信一共有多少位好友.然后他又问我,这里面你认识多少人?这一句话问的我很无语.一千多个好友我真的不知道认识的人有多少. ...