zhukovanadezhda / smith-waterman

🧬🔍 Smith-Waterman pairwise sequences alignment ✍️🔡

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Smith-Waterman Pairwise Sequence Alignment

Algorithm description

The Smith–Waterman algorithm performs local sequence alignment; that is, for determining similar regions between two strings of nucleic acid sequences or protein sequences. Instead of looking at the entire sequence, the Smith–Waterman algorithm compares segments of all possible lengths and optimizes the similarity measure.

The Smith–Waterman algorithm has several steps:

  1. Determine the substitution matrix and the gap penalty scheme. A substitution matrix assigns each pair of bases or amino acids a score for match or mismatch. A gap penalty function determines the score cost for opening or extending gaps.

  2. Initialize the scoring matrix. The dimensions of the scoring matrix are 1+length of each sequence respectively. All the elements of the first row and the first column are set to 0. The extra first row and first column make it possible to align one sequence to another at any position, and setting them to 0 makes the terminal gap free from penalty.

  3. Scoring. Score each element from left to right, top to bottom in the matrix, considering the outcomes of substitutions (diagonal scores) or adding gaps (horizontal and vertical scores). If none of the scores are positive, this element gets a 0. Otherwise the highest score is used and the source of that score is recorded.

  4. Traceback. Starting at the element with the highest score, traceback based on the source of each score recursively, until 0 is encountered. The segments that have the highest similarity score based on the given scoring system is generated in this process.

Implementation

To clone the repository:

git clone git@github.com:zhukovanadezhda/smith-waterman.git

To test the algorithm:

gcc -Wall projet.c -o pro ; ./pro <filename1> <filename2>

Where <filename1> and <filename2> are the .fasta files with sequences. Each file should include only one sequence.

In this project the Smith–Waterman algorithm was performed in C language.

The following functions were used:

int sequence_len(char *filename) - calculates the length of the sequence

char *read_sequence(char *filename) - reads a sequence from the file

int **read_substitution_matrix(char *filename) - reads substitution matrix from the file

int **initialize_matrix(int n, int m, int value) - initializes a score matrix

int compute_score(char *a, char *b, int **substitution_matrix) - counts the score from the substitution matrix

int **fill_matrix(char *seq1, char *seq2, int **substitution_matrix, int gap_penalty) - fills the score matrix

int calculate_alignment(char *seq1, char *seq2, int **substitution_matrix, int gap_penalty, char **aligned_seq1, char **aligned_seq2) - calculates th alignment score and the aligned sequences

void print_seq(char* seq1, char* seq2) - prints alignment with no more than 60 charecters per line

int main(int argc, char *argv[]) - takes filenames as arguments and executes some of functions mentioned above

Examples

To test the program two web resources were used. One for the short examples with visualisation of the score matrix and another one is a real Smith–Waterman algorithm from EMBOSS to align real sequences.

Short alignments (<10)

Real alignments

Example 0: with equel example sequences

gcc -Wall projet.c -o pro ; ./pro examples/seq0.fasta examples/seq0.fasta
Alignment score: 20
Start position: 0, 0
End position: 5, 5

Alignment:

AAAAA
AAAAA

Example 1: with short example sequences

gcc -Wall projet.c -o pro ; ./pro examples/example1.fasta examples/example2.fasta
Alignment score: 23
Start position: 4, 1
End position: 9, 5

Alignment:

AWGHE
AW-HE

Example 2: with sequences 1BTA and 1AKE

gcc -Wall projet.c -o pro ; ./pro examples/1AKE_1.fasta examples/1BTA_1.fasta
Alignment score: 48
Start position: 45, 6
End position: 109, 74

Alignment:

GKQAKDIMDAGKLVTDELVI-ALVKERI-AQEDCRNGFLLDGFPRTIP--QADAMKEAGI
GEQIRSISDLHQTLKKELALPEYYGENLDALWDCLTGW-VE-YPLVLEWRQFEQSKQLTE

N-VDYVLE-F
NGAESVLQVF

Example 3: with sequences 1K5D and 1K5C

gcc -Wall projet.c -o pro ; ./pro examples/1K5D_3.fasta examples/1K5C_1.fasta
Alignment score: 46
Start position: 69, 201
End position: 193, 323

Alignment:

IFTGR-VKDEIPEALRLLLQALLKCP-KLHTVRLSDNAFGPTAQEPLIDFLSKHTPL-EH
IATGKHVSNVVIKG-NTVTRSMYGVRIKAQRTATSASVSGVTYDANTISGIAKYGVLISQ

LYLHNNGLGPQAGAKIARA-LQELAVNKKAKNAPPLRSIICGRNRLENGSMKEWAK-TFQ
SYPDDVG-NPGTGAPFSDVNFTGGATTIKVNNAATRVTVECG-N-C-SGNW-NWSQLTVT

SHRLLHTVK
GGK-AGTIK

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🧬🔍 Smith-Waterman pairwise sequences alignment ✍️🔡


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