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#1594 Added Needleman-Wunsch Algorithm #1642

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107 changes: 107 additions & 0 deletions String Algorithms/Needleman-Wunsch Algorithm/Program.c
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#include <stdio.h>
#include <string.h>
#include <stdlib.h>

#define MATCH 1 // Score for a match
#define MISMATCH -1 // Score for a mismatch
#define GAP -2 // Penalty for a gap

// Function to calculate the maximum of three values
int max(int a, int b, int c) {
if (a >= b && a >= c) return a;
else if (b >= a && b >= c) return b;
else return c;
}

// Function to implement the Needleman-Wunsch algorithm
void needlemanWunsch(char* seq1, char* seq2) {
int len1 = strlen(seq1);
int len2 = strlen(seq2);

// Initialize score matrix
int scoreMatrix[len1 + 1][len2 + 1];

// Initialize first row and first column with gap penalties
for (int i = 0; i <= len1; i++) {
scoreMatrix[i][0] = i * GAP;
}
for (int j = 0; j <= len2; j++) {
scoreMatrix[0][j] = j * GAP;
}

// Fill the score matrix
for (int i = 1; i <= len1; i++) {
for (int j = 1; j <= len2; j++) {
int matchMismatchScore = (seq1[i - 1] == seq2[j - 1]) ? MATCH : MISMATCH;
scoreMatrix[i][j] = max(
scoreMatrix[i - 1][j - 1] + matchMismatchScore, // Match/Mismatch
scoreMatrix[i - 1][j] + GAP, // Deletion (gap in seq2)
scoreMatrix[i][j - 1] + GAP // Insertion (gap in seq1)
);
}
}

// Print the final score matrix
printf("Score Matrix:\n");
for (int i = 0; i <= len1; i++) {
for (int j = 0; j <= len2; j++) {
printf("%3d ", scoreMatrix[i][j]);
}
printf("\n");
}

// Traceback to get the optimal alignment
printf("\nOptimal Alignment:\n");
int i = len1, j = len2;
char alignedSeq1[len1 + len2 + 1], alignedSeq2[len1 + len2 + 1];
int idx = 0;

while (i > 0 || j > 0) {
if (i > 0 && j > 0 && scoreMatrix[i][j] == scoreMatrix[i - 1][j - 1] + ((seq1[i - 1] == seq2[j - 1]) ? MATCH : MISMATCH)) {
alignedSeq1[idx] = seq1[i - 1];
alignedSeq2[idx] = seq2[j - 1];
i--; j--;
}
else if (i > 0 && scoreMatrix[i][j] == scoreMatrix[i - 1][j] + GAP) {
alignedSeq1[idx] = seq1[i - 1];
alignedSeq2[idx] = '-';
i--;
}
else {
alignedSeq1[idx] = '-';
alignedSeq2[idx] = seq2[j - 1];
j--;
}
idx++;
}

// Print aligned sequences
alignedSeq1[idx] = '\0';
alignedSeq2[idx] = '\0';

// Reverse the sequences
for (int k = 0; k < idx / 2; k++) {
char temp = alignedSeq1[k];
alignedSeq1[k] = alignedSeq1[idx - k - 1];
alignedSeq1[idx - k - 1] = temp;

temp = alignedSeq2[k];
alignedSeq2[k] = alignedSeq2[idx - k - 1];
alignedSeq2[idx - k - 1] = temp;
}

printf("Seq1: %s\n", alignedSeq1);
printf("Seq2: %s\n", alignedSeq2);
}

int main() {
char seq1[] = "GATTACA";
char seq2[] = "GCATGCU";

printf("Sequence 1: %s\n", seq1);
printf("Sequence 2: %s\n", seq2);

needlemanWunsch(seq1, seq2);

return 0;
}
64 changes: 64 additions & 0 deletions String Algorithms/Needleman-Wunsch Algorithm/README.md
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# Needleman-Wunsch Algorithm

## Description

The Needleman-Wunsch algorithm is a dynamic programming algorithm used for sequence alignment. It is particularly useful for aligning nucleotide or protein sequences in bioinformatics but can also be applied to string matching in computer science.

### Problem Definition

Given:
- Two sequences (or strings) **S1** and **S2**

Objective:
- Align the two sequences by introducing gaps (if necessary) to maximize the match score while minimizing the penalty for mismatches and gaps.

### Algorithm Overview

1. **Initialize Score Matrix**:
- Create a score matrix with dimensions `(len(S1) + 1)` x `(len(S2) + 1)` and initialize the first row and column with gap penalties.
2. **Matrix Filling**:
- Fill the matrix by choosing the optimal score for each cell based on the previous cells, using:
- Match/Mismatch score
- Insertion/Deletion (gap) score
3. **Traceback**:
- Trace back through the matrix to determine the optimal alignment of the two sequences.

### Key Features

- Global alignment algorithm
- Handles mismatches and gaps with penalties
- Constructs an optimal alignment based on a scoring system
- Suitable for aligning sequences of varying lengths

### Time Complexity

- **Time Complexity**: O(m * n), where `m` is the length of sequence S1, and `n` is the length of sequence S2. This is due to the need to fill in a score matrix of size `m x n`.
- **Space Complexity**: O(m * n), due to the storage required for the score matrix.

### Scoring

- **Match**: +1 (reward for matching characters)
- **Mismatch**: -1 (penalty for different characters)
- **Gap**: -2 (penalty for inserting gaps)

## Implementation

The implementation in C demonstrates the Needleman-Wunsch algorithm for aligning two sequences. It includes:

1. **Score Matrix Calculation**: Initializes and fills the score matrix based on matches, mismatches, and gaps.
2. **Traceback**: Recovers the optimal alignment by tracing back through the score matrix.
3. **Alignment Output**: Prints the aligned sequences.

## Usage

1. **Compile**: Use a C compiler to compile the program.
```bash
gcc needleman_wunsch.c -o needleman_wunsch
```

2. **Run**: Execute the program with two predefined sequences.
```bash
./needleman_wunsch
```

The example in the `main` function aligns the sequences "GATTACA" and "GCATGCU" and prints the optimal alignment and the corresponding score matrix.
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