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DNA stadistical studies- Local Base Composition Code

Hi there! :)

I have a question for you all. I am trying to study the local base composition of a DNA sequence by using python. If you don't know what I am talking about, don't worry here I explain to you:

Imagine that you have this DNA sequence:

g a g t t t t a t c g c g c t t c c a t g

And you want to know how many a, c, g and t are in a part of it (window) and you want to repeat this process in the whole sequence but with a certain offset. So, this is a sum up of what you will have:

So, at the end, you will have the base composition of each subgroup you have made from the beginning sequence.

This is what I am trying to do in python. Here is my code:

def composicionBasesLocal(seq, window_len = 200, offset = 100, circular = False):
    lowest = 0
    highest = window_len
    res = []

    while highest<=len(seq)-1:
        window = seq[lowest:highest+1]

        if lowest<= len(seq):
            mm = ModeloMultinomial(window)
            res.append(mm)

        else:
            break

    lowest = lowest + offset
    highest = highest + offset

    return(res)

ModeloMultinomial(seq) code:

def ModeloMultinomial(seq):
    ModMul = []
    pa = seq.count('A')/len(seq)
    pc = seq.count('C')/len(seq)
    pg = seq.count('G')/len(seq)
    pt = seq.count('T')/len(seq)

    ModMul.append([pa,pc,pg,pt])

    return(['pa','pc','pg', 'pt'], ModMul)

This code (composicionBasesLocal) doesn't give me any message error but when I run it, it loops and I have to stopped it. I did it whit a for loop and it works without any problem.

What I have done wrong? Thank you!! :D

dna local bases composition stadistics python
• 1,713 views • link
updated by schlogl schlogl • written by andreammo97 • andreammo97

check for the indentation of the

lowest = lowest + offset highest = highest + offset

because you are in a infinite loop.

• 0 views • link
written by schlogl schlogl 
def composicionBasesLocal(seq, window_len = 200, offset = 100, circular = False):
    lowest = 0
    highest = window_len
    res = []

    while highest <= len(seq)-1:
        window = seq[lowest:highest+1]
        print(window)

        if lowest<= len(seq):
            mm = ModeloMultinomial(window)
            res.append(mm)

        else:
            break

        lowest = lowest + offset
        highest = highest + offset
        print(lowest)
        print(highest)

    return(res)
• 0 views • link
written by schlogl schlogl

1 answer 

def get_kmers_counts(sequence, k=1):
    """Returns the count of all the contiguous and overlapping
    substrings of length K from a genome."""
    return Counter(sequence[i:i+k] for i in range(len(sequence) - k + 1))

def get_kmers_frequencies(sequence, k=1):
    """Returns the frequencies of all the contiguous and overlapping
            substrings of length K from a genome."""
    kmers = get_kmers_counts(sequence, k)
    freq = defaultdict(float)
    for mer, count in kmers.items():
        freq[mer] = round(count / sum(kmers.values()), 4)
    return freq

You can use it as two separate functions or use it to make your own function! Paulo

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written by schlogl schlogl

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