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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,329 @@ | ||
| # -*- coding: utf-8 -*- | ||
| """ | ||
| Created on Sun Feb 2 11:24:42 2014 | ||
|
|
||
| @author: YOUR NAME HERE | ||
| kevin suzuki | ||
| """ | ||
| import random | ||
| aAcids = ['F','L','I','M','V','S','P','T','A','Y', | ||
| '|','H','Q','N','K','D','E','C','W','R', | ||
| 'G'] | ||
|
|
||
| codon = [['TTT', 'TTC'], | ||
| ['TTA', 'TTG', 'CTT', 'CTC', 'CTA', 'CTG'], | ||
| ['ATT', 'ATC', 'ATA'], | ||
| ['ATG'], | ||
| ['GTT', 'GTC', 'GTA', 'GTG'], | ||
| ['TCT', 'TCC', 'TCA', 'TCG', 'AGT', 'AGC'], | ||
| ['CCT', 'CCC', 'CCA', 'CCG'], | ||
| ['ACT', 'ACC', 'ACA', 'ACG'], | ||
| ['GCT', 'GCC', 'GCA', 'GCG'], | ||
| ['TAT', 'TAC'], | ||
| ['TAA', 'TAG', 'TGA'], | ||
| ['CAT', 'CAC'], | ||
| ['CAA', 'CAG'], | ||
| ['AAT', 'AAC'], | ||
| ['AAA', 'AAG'], | ||
| ['GAT', 'GAC'], | ||
| ['GAA', 'GAG'], | ||
| ['TGT', 'TGC'], | ||
| ['TGG'], | ||
| ['CGT', 'CGC', 'CGA', 'CGG', 'AGA', 'AGG'], | ||
| ['GGT', 'GGC', 'GGA', 'GGG']] | ||
|
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|
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||
| # you may find it useful to import these variables (although you are not required to use them) | ||
| #from amino_acids import aa, codons | ||
|
|
||
| def collapse(L): | ||
| """ Converts a list of strings to a string by concatenating all elements of the list """ | ||
| output = "" | ||
| for s in L: | ||
| output = output + s | ||
| return output | ||
|
|
||
|
|
||
| def coding_strand_to_AA(rawin): | ||
| if len(rawin) %3 == 0: | ||
| print rawin | ||
| else: | ||
| print 'bad' | ||
| m=[] | ||
| amino='' | ||
| for i in range (len(rawin)/3): | ||
| v= rawin[i*3:i*3+3] | ||
| m.append(v) | ||
| for a in range (len(m)): | ||
| for x in range (len(codon)): | ||
| temp=codon[x] | ||
| for n in range (len(temp)): | ||
| if temp[n] == m[a]: | ||
| amino+=aAcids[x] | ||
| return amino | ||
| """ Computes the Protein encoded by a sequence of DNA. This function | ||
| does not check for start and stop codons (it assumes that the input | ||
| DNA sequence represents an protein coding region). | ||
|
|
||
| dna: a DNA sequence represented as a string | ||
| returns: a string containing the sequence of amino acids encoded by the | ||
| the input DNA fragment | ||
| """ | ||
| from amino_acids import codons | ||
|
|
||
|
|
||
| def coding_strand_to_AA_unit_tests(): | ||
| """ Unit tests for the coding_strand_to_AA function """ | ||
|
|
||
| a = "AAA" | ||
| b = "CAGCGTTGGATGCAA" | ||
| c = "ATAATGTGTAATCA" | ||
| aeo = "K" | ||
| beo = "QRWMQ" | ||
| ceo = "IMCN" | ||
| print "input: " + a + ", expected output: " + aeo + ", actual output: " + coding_strand_to_AA(a) | ||
| print "input: " + b + ", expected output: " + beo + ", actual output: " + coding_strand_to_AA(b) | ||
| print "input: " + c + ", expected output: " + ceo + ", actual output: " + coding_strand_to_AA(c) | ||
|
|
||
| def get_reverse_complement(dna): | ||
| """ Computes the reverse complementary sequence of DNA for the specfied DNA | ||
| sequence | ||
|
|
||
| dna: a DNA sequence represented as a string | ||
| returns: the reverse complementary DNA sequence represented as a string | ||
| """ | ||
| v="" | ||
| j="" | ||
| for p in range(len(dna)): | ||
| if dna[p]=='A': | ||
| v+='T' | ||
| if dna[p]=='T': | ||
| v+='A' | ||
| if dna[p]=='G': | ||
| v+='C' | ||
| if dna[p]=='C': | ||
| v+='G' | ||
| for q in range (len(v)): | ||
| j+=v[-(q+1)] | ||
| return j | ||
|
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|
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|
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| def get_reverse_complement_unit_tests(): | ||
| """ Unit tests for the get_complement function """ | ||
|
|
||
| a = "AAA" | ||
| b = "CAGCGTTGGATGCAA" | ||
| c = "ATAATGTGTAATCA" | ||
| aeo = "TTT" | ||
| beo = "TTGCATCCAACGCTG" | ||
| ceo = "TGATTACACATTAT" | ||
| print "input: " + a + ", expected output: " + aeo + ", actual output: " + get_reverse_complement(a) | ||
| print "input: " + b + ", expected output: " + beo + ", actual output: " + get_reverse_complement(b) | ||
| print "input: " + c + ", expected output: " + ceo + ", actual output: " + get_reverse_complement(c) | ||
|
|
||
| def rest_of_ORF(dna): | ||
| """ Takes a DNA sequence that is assumed to begin with a start codon and returns | ||
| the sequence up to but not including the first in frame stop codon. If there | ||
| is no in frame stop codon, returns the whole string. | ||
|
|
||
| dna: a DNA sequence | ||
| returns: the open reading frame represented as a string | ||
| """ | ||
| r=[] | ||
| m="" | ||
| stop=codons[10] | ||
| for i in range (len(dna)/3): | ||
| v= dna[i*3:i*3+3] | ||
| if v == stop[0] or v== stop[1] or v==stop[2]: | ||
| break | ||
| m+=(v) | ||
| return m | ||
|
|
||
| def rest_of_ORF_unit_tests(): | ||
| """ Unit tests for the rest_of_ORF function """ | ||
|
|
||
| a = "ATG" | ||
| b = "ATGTTTTGATGAA" | ||
| c = "ATGATGTGTAGATCA" | ||
| aeo = "ATG" | ||
| beo = "ATGTTT" | ||
| ceo = "ATGATGTGTAGATCA" | ||
| print "input: " + a + ", expected output: " + aeo + ", actual output: " + rest_of_ORF(a) | ||
| print "input: " + b + ", expected output: " + beo + ", actual output: " + rest_of_ORF(b) | ||
| print "input: " + c + ", expected output: " + ceo + ", actual output: " + rest_of_ORF(c) | ||
|
|
||
|
|
||
| def find_all_ORFs_oneframe(dna): | ||
| """ Finds all non-nested open reading frames in the given DNA sequence and returns | ||
| them as a list. This function should only find ORFs that are in the default | ||
| frame of the sequence (i.e. they start on indices that are multiples of 3). | ||
| By non-nested we mean that if an ORF occurs entirely within | ||
| another ORF, it should not be included in the returned list of ORFs. | ||
|
|
||
| dna: a DNA sequence | ||
| returns: a list of non-nested ORFs | ||
| """ | ||
|
|
||
| m=[] | ||
| n=0 | ||
| while n<=len(dna): | ||
| v= dna[n*3:n*3+3] | ||
| if v == 'ATG': | ||
| x=dna[n*3:len(dna)] | ||
| dnastring=rest_of_ORF(x) | ||
| m+=[dnastring] | ||
| n+=len(dnastring)/3 | ||
| n+=1 | ||
| return m | ||
|
|
||
|
|
||
|
|
||
| def find_all_ORFs_oneframe_unit_tests(): | ||
| """ Unit tests for the find_all_ORFs_oneframe function """ | ||
|
|
||
| a = "ATGGGGGGGTGA" | ||
| b = "ATGTTTTAAATGAAATAG" | ||
| c = "ATGGGGTAGGGGATGCCCTAA" | ||
| aeo = "[ATGGGGGGG]" | ||
| beo = "[ATGTTT,ATGAAA]" | ||
| ceo = "[ATGGGG,ATGCCC]" | ||
| print "input: " + a + ", expected output: " + aeo + ", actual output: " + str(find_all_ORFs_oneframe(a)) | ||
| print "input: " + b + ", expected output: " + beo + ", actual output: " + str(find_all_ORFs_oneframe(b)) | ||
| print "input: " + c + ", expected output: " + ceo + ", actual output: " + str(find_all_ORFs_oneframe(c)) | ||
|
|
||
|
|
||
| def find_all_ORFs(dna): | ||
| """ Finds all non-nested open reading frames in the given DNA sequence in all 3 | ||
| possible frames and returns them as a list. By non-nested we mean that if an | ||
| ORF occurs entirely within another ORF and they are both in the same frame, | ||
| it should not be included in the returned list of ORFs. | ||
|
|
||
| dna: a DNA sequence | ||
| returns: a list of non-nested ORFs | ||
| """ | ||
| p=dna[1:len(dna)] | ||
| o=dna[2:len(dna)] | ||
| firstframe=find_all_ORFs_oneframe(dna) | ||
| secondframe=find_all_ORFs_oneframe(p) | ||
| thirdframe=find_all_ORFs_oneframe(o) | ||
| return(firstframe,secondframe,thirdframe) | ||
|
|
||
|
|
||
|
|
||
| def find_all_ORFs_unit_tests(): | ||
| """ Unit tests for the find_all_ORFs function """ | ||
|
|
||
| a = "ATGGATGGTGAATGAGTGA" | ||
| b = "ATGTTTTAATGAAATAG" | ||
| c = "ATGGGGTAGTGAGGTATGAGCTACCTATGAA" | ||
| aeo = "[ATGGATGGTGA,ATGGTGAATGAG,ATGAGTGA]" | ||
| beo = "[ATGTTT,ATGAAA]" | ||
| ceo = "[ATGGGG,ATGAGCTACCTA,ATGAA]" | ||
| print "input: " + a + ", expected output: " + aeo + ", actual output: " + str(find_all_ORFs(a)) | ||
| print "input: " + b + ", expected output: " + beo + ", actual output: " + str(find_all_ORFs(b)) | ||
| print "input: " + c + ", expected output: " + ceo + ", actual output: " + str(find_all_ORFs(c)) | ||
|
|
||
|
|
||
|
|
||
| def find_all_ORFs_both_strands(dna): | ||
| """ Finds all non-nested open reading frames in the given DNA sequence on both | ||
| strands. | ||
|
|
||
| dna: a DNA sequence | ||
| returns: a list of non-nested ORFs | ||
| """ | ||
| p=get_reverse_complement(dna) | ||
| reverse=find_all_ORFs(p) | ||
| strand=find_all_ORFs(dna) | ||
| return(strand, reverse) | ||
|
|
||
| def find_all_ORFs_both_strands_unit_tests(): | ||
| """ Unit tests for the find_all_ORFs_both_strands function """ | ||
|
|
||
| a = "ATGGATGGTGAATGAGTGA" | ||
| b = "ATGTTTTAATGAAATAG" | ||
| c = "ATGGGGTAGTGAGGTATGAGCTACCTATGAA" | ||
| aeo = "[ATGGATGGTGA,ATGGTGAATGAG,ATGAGTGA]" | ||
| beo = "[ATGTTT, ATGAAA]" | ||
| ceo = "[ATGGGG,ATGAGCTACCTA,ATGAA]" | ||
| print "input: " + a + ", expected output: " + aeo + ", actual output: " + str(find_all_ORFs_both_strands(a)) | ||
| print "input: " + b + ", expected output: " + beo + ", actual output: " + str(find_all_ORFs_both_strands(b)) | ||
| print "input: " + c + ", expected output: " + ceo + ", actual output: " + str(find_all_ORFs_both_strands(c)) | ||
|
|
||
| def longest_ORF(dna): | ||
| """ Finds the longest ORF on both strands of the specified DNA and returns it | ||
| as a string""" | ||
| t=find_all_ORFs_both_strands(dna) | ||
| a=t[0] | ||
| q=a[0] | ||
| if not q: | ||
| longest="" | ||
| else: | ||
| longest=q[0] | ||
| for i in range (len(t)): | ||
| temp=t[i] | ||
| for b in range (len(temp)): | ||
| temp2=temp[b] | ||
| for x in range (len(temp2)): | ||
| if (len(temp2[x]))>(len(longest)): | ||
| longest=temp2[x] | ||
| return longest | ||
|
|
||
|
|
||
| def longest_ORF_unit_tests(): | ||
| """ Unit tests for the longest_ORF function """ | ||
|
|
||
| a = "ATGGATGGTGAATGAGTGA" | ||
| b = "ATGTTTTAATGAAATAG" | ||
| c = "ATGGGGTAGTGAGGTATGAGCTACCTATGAA" | ||
| aeo = "ATGGATGGTGAA" | ||
| beo = "ATGTTT" | ||
| ceo = "ATGAGCTACCTA" | ||
| print "input: " + a + ", expected output: " + aeo + ", actual output: " + longest_ORF(a) | ||
| print "input: " + b + ", expected output: " + beo + ", actual output: " + longest_ORF(b) | ||
| print "input: " + c + ", expected output: " + ceo + ", actual output: " + longest_ORF(c) | ||
|
|
||
|
|
||
| def longest_ORF_noncoding(dna, num_trials): | ||
| """ Computes the maximum length of the longest ORF over num_trials shuffles | ||
| of the specfied DNA sequence | ||
|
|
||
| dna: a DNA sequence | ||
| num_trials: the number of random shuffles | ||
| returns: the maximum length longest ORF """ | ||
| k=[] | ||
| o=0 | ||
| v=0 | ||
| while v < num_trials: | ||
| for x in range (len(dna)): | ||
| k+=[dna[x]] | ||
| shuffle (k) | ||
| h=collapse(k) | ||
| k=[] | ||
| c=longest_ORF(h) | ||
| v+=1 | ||
| if o < len(c): | ||
| o=len(c) | ||
| return (o) | ||
|
|
||
| def gene_finder(dna, threshold): | ||
| """ Returns the amino acid sequences coded by all genes that have an ORF | ||
| larger than the specified threshold. | ||
|
|
||
| dna: a DNA sequence | ||
| threshold: the minimum length of the ORF for it to be considered a valid | ||
| gene. | ||
| returns: a list of all amino acid sequences whose ORFs meet the minimum | ||
| length specified. | ||
| """ | ||
| s=[] | ||
| t=find_all_ORFs_both_strands(dna) | ||
| for i in range (len(t)): | ||
| temp=t[i] | ||
| for b in range (len(temp)): | ||
| temp2=temp[b] | ||
| for x in range (len(temp2)): | ||
| if (len(temp2[x]))>(threshold): | ||
| s+=[coding_strand_to_AA(temp2[x])] | ||
| return s | ||
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This is not a helpful variable name.