For this assignment, your goal is to implement the Needleman-Wunsch algorithm in Python. You can read more about the Needleman-Wunsch algorithm on Wikipedia. The Wikipedia page contains psuedo-code which you might find helpful.
Write a function that takes two sequences as input, and returns a matrix of scores as we saw in Class 25. You do not have to do the back-tracing, just fill out the matrix.
To get you started, a matrix can be represented in Python as a list of lists. Let's say we want to make a matrix that looks like this:
| 1 | 3 | 5 | 7 |
| 2 | 3 | 4 | 5 |
| 5 | 2 | 20 | 3 |
# Here's how to make the matrix above from a list of lists
my_matrix = []
# Fill out the 0th row
my_matrix.append([1, 3, 5, 7])
# Fill out the 1st row
my_matrix.append([2, 3, 4, 5])
# Fill out the 2nd row
my_matrix.append([5, 2, 20, 3])
# Here is a helper function to print out matrices
def print_matrix(mat):
# Loop over all rows
for i in range(0, len(mat)):
print("[", end = "")
# Loop over each column in row i
for j in range(0, len(mat[i])):
# Print out the value in row i, column j
print(mat[i][j], end = "")
# Only add a tab if we're not in the last column
if j != len(mat[i]) - 1:
print("\t", end = "")
print("]\n")
print_matrix(my_matrix)
# To retrieve the value from the 2nd row, in the 0th column, is relatively simple:
print("The value in the 2nd row and the 0th column is:", my_matrix[2][0])
# The format is always my_matrix[row][column].
Break the problem down into as many small steps as possible. Here are a few hints:
zeros() function defined below.max() function will return the maximum value from a list of values. For example max(1,7,3) will return 7.range() function.print_matrix() function to print out your matrix as frequently as possible. Always make sure that your code is doing what you think it's doing!# Use these values to calculate scores
gap_penalty = -1
match_award = 1
mismatch_penalty = -1
# Make a score matrix with these two sequences
seq1 = "ATTACA"
seq2 = "ATGCT"
# A function for making a matrix of zeroes
def zeros(rows, cols):
# Define an empty list
retval = []
# Set up the rows of the matrix
for x in range(rows):
# For each row, add an empty list
retval.append([])
# Set up the columns in each row
for y in range(cols):
# Add a zero to each column in each row
retval[-1].append(0)
# Return the matrix of zeros
return retval
# A function for determining the score between any two bases in alignment
def match_score(alpha, beta):
if alpha == beta:
return match_award
elif alpha == '-' or beta == '-':
return gap_penalty
else:
return mismatch_penalty
# The function that actually fills out a matrix of scores
def needleman_wunsch(seq1, seq2):
# length of two sequences
n = len(seq1)
m = len(seq2)
# Generate matrix of zeros to store scores
score = zeros(m+1, n+1)
########################
# Your code starts here
########################
# Use the following steps as a guide to calculate the score matrix
# 1. Fill out first column
# 2. Fill out first row
# 3. Fill out all other values in the score matrix
# Return the final score matrix
return score
# Test out the needleman_wunsch() function
print_matrix(needleman_wunsch(seq1, seq2))
Modify your code from Part 1 to back-trace through the score matrix and print out the final alignment. HINT: For the back-tracing, you'll want to use a while loop (or several of them).
def needleman_wunsch(seq1, seq2):
# Store length of two sequences
n = len(seq1)
m = len(seq2)
# Generate matrix of zeros to store scores
score = zeros(m+1, n+1)
# Calculate score table
# Create variables to store alignment
align1 = ""
align2 = ""
# Back-trace from bottom right of the score matrix and compute the alignment
return(align1, align2)
output1, output2 = needleman_wunsch(seq1, seq2)
print(output1 + "\n" + output2)