【UVA】 1368 --- DNA Consensus String

【UVA】 1368 --- DNA Consensus String


Figure 1.
DNA (Deoxyribonucleic Acid) is the molecule which contains the genetic instructions. It consists of four different
nucleotides, namely Adenine, Thymine, Guanine, and Cytosine as shown in Figure 1. If we represent a nucleotide by
its initial character, a DNA strand can be regarded as a long
string (sequence of characters) consisting of the four characters A, T, G, and C. For example, assume we are given some
part of a DNA strand which is composed of the following sequence of nucleotides:
“Thymine-Adenine-Adenine-Cytosine-Thymine-Guanine-CytosineCytosine-Guanine-Adenine-Thymine”
Then we can represent the above DNA strand with the
string “TAACTGCCGAT.”
The biologist Prof. Ahn found that a gene X commonly
exists in the DNA strands of five different kinds of animals,
namely dogs, cats, horses, cows, and monkeys. He also discovered that the DNA sequences of the gene X from each animal
were very alike. See Figure 2.
DNA sequence of gene X
Cat: GCATATGGCTGTGCA
Dog: GCAAATGGCTGTGCA
Horse: GCTAATGGGTGTCCA
Cow: GCAAATGGCTGTGCA
Monkey: GCAAATCGGTGAGCA
Figure 2. DNA sequences of gene X in five animals.
Prof. Ahn thought that humans might also have the gene X and decided to search for the DNA
sequence of X in human DNA. However, before searching, he should define a representative DNA
sequence of gene X because its sequences are not exactly the same in the DNA of the five animals. He
decided to use the Hamming distance to define the representative sequence.
The Hamming distance is the number of different characters at each position from two strings of
equal length. For example, assume we are given the two strings “AGCAT” and “GGAAT.” The Hamming
distance of these two strings is 2 because the 1st and the 3rd characters of the two strings are different.
Using the Hamming distance, we can define a representative string for a set of multiple strings of equal
length. Given a set of strings S = {s1, . . . , sm} of length n, the consensus error between a string y of
length n and the set S is the sum of the Hamming distances between y and each si
in S. If the consensus
error between y and S is the minimum among all possible strings y of length n, y is called a consensus
string of S. For example, given the three strings “AGCAT” “AGACT” and “GGAAT” the consensus string
of the given strings is “AGAAT” because the sum of the Hamming distances between “AGAAT” and the
three strings is 3 which is minimal. (In this case, the consensus string is unique, but in general, there
can be more than one consensus string.) We use the consensus string as a representative of the DNA
sequence. For the example of Figure 2 above, a consensus string of gene X is “GCAAATGGCTGTGCA” and
the consensus error is 7.
Input
Your program is to read from standard 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 starts with a line containing two integers
m and n which are separated by a single space. The integer m (4 ≤ m ≤ 50) represents the number
of DNA sequences and n (4 ≤ n ≤ 1000) represents the length of the DNA sequences, respectively. In
each of the next m lines, each DNA sequence is given.
Output
Your program is to write to standard output. Print the consensus string in the first line of each case
and the consensus error in the second line of each case. If there exists more than one consensus string,
print the lexicographically smallest consensus string.
Sample Input
3
5 8
TATGATAC
TAAGCTAC
AAAGATCC
TGAGATAC
TAAGATGT
4 10
ACGTACGTAC
CCGTACGTAG
GCGTACGTAT
TCGTACGTAA
6 10
ATGTTACCAT
AAGTTACGAT
AACAAAGCAA
AAGTTACCTT
AAGTTACCAA
TACTTACCAA
Sample Output
TAAGATAC
7
ACGTACGTAA
6
AAGTTACCAA
12

题意:
输入m个长度均为n的DNA序列, 求一个DNA序列, 到所有序列的总Hamming距离尽量
小。 两个等长字符串的Hamming距离等于字符不同的位置个数, 例如, ACGT和GCGA的
Hamming距离为2( 左数第1, 4个字符不同) 。
输入整数m和n( 4≤m≤50, 4≤n≤1000) , 以及m个长度为n的DNA序列( 只包含字母
A, C, G, T) , 输出到m个序列的Hamming距离和最小的DNA序列和对应的距离。 如有多
解, 要求为字典序最小的解。 例如, 对于下面5个DNA序列, 最优解为TAAGATAC。
输入
TATGATAC
TAAGCTAC
AAAGATCC
TGAGATAC
TAAGATGT
输出
TAAGATAC
7

思路:
依次找出每个序列中第i个字符中出现次数最多的那个字符,将其放在dest数组中第i个位置。
将i从0遍历到m,得出目标序列。
然后依次比较每个序列,将每个序列对应的Hamming相加;

注意:程序中字符顺序最好为ACGT,这样在有多解的情况下不用判断字典序最小的序列是哪个。

AC代码:

#include 
#include 
#include 
int Input(int m, int n); //输入二维数组
int Output(int m, int n);//输出目标序列
using namespace std;
char arr[51][1001], dest[1001]; //arr存储输入的序列,dest存储目标序列
int main()
{
	int t;
	cin >> t;
	while (t--)
	{
		int m, n, num = 0;
		cin >> m >> n;
		getchar();
		memset(dest, '\0', sizeof(dest));
		Input(m, n); //输入二维数组
		Output(m, n);//输出目标序列
		for (int i = 0; i < m; i++)
		{
			for (int j = 0; j < n; j++)
			{
				if (arr[i][j] != dest[j])
				{
					num++;
				}
			}
		}
		cout << dest << endl;
		cout << num << endl;
	}
	return 0;
}

int Input(int m, int n) //输入二维数组
{
	for (int i = 0; i < m; i++)
	{
		for (int j = 0; j < n; j++)
		{
			scanf("%c", &arr[i][j]);
		}
		getchar();
	}
	return 0;
}

int Output(int m,int n) //输出目标序列
{
	for (int j = 0; j < n; j++)
	{
		int count[5]{ 0 }; //统计出现次数
		for (int i = 0; i < m; i++)
		{
			switch (arr[i][j])
			{
			case 'A':
				count[0]++;
				break;
			case 'C':
				count[1]++;
				break;
			case 'G':
				count[2]++;
				break;
			case 'T':
				count[3]++;
				break;
			}
		}
		count[4] = count[0]; //用count[4]标记出现次数最多的次数
		int max = 0;
		for (int i = 1; i < 4; i++)//通过遍历找到每列AGCT中出现次数最多的字符
		{
			if (count[4] < count[i])
			{

				max = i;
				count[4] = count[i];
			}
		}
		switch (max) //将每列中出现最多的字符放入dest数组相应位置
		{
		case 0:
			dest[j] = 'A';
			break;
		case 1:
			dest[j] = 'C';
			break;
		case 2:
			dest[j] = 'G';
			break;
		case 3:
			dest[j] = 'T';
			break;
		}
	}
	return 0;
}

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