Example #1
0
def bayesfold(seqsin, temperature=37, params=None):
    '''Takes in sequences in LoadSeqs readable format and returns
    most likely structure from bayesfold.'''
    try:
        if params == None:
            params = {}
        aln = align_unaligned_seqs(seqsin, RNA, params=params)
        bayesinput = BayesInputWrapper(aln.getSeqNames(),
            map(str, aln.iterSeqs()), str(temperature))
        bayescalc = BayesCalculation(bayesinput)
        bayescalc.run()
        struct = str(bayescalc.Alignment.Structures).split()[1]
        del bayescalc
        del bayesinput
        return aln, struct
    except Exception, e:
        print "BAYESFOLD ERROR: ", e
Example #2
0
def bayesfold(seqsin, temperature=37, params=None, align=True):
    '''Takes in sequences in LoadSeqs readable format and returns
    most likely structure from bayesfold.'''
    try:
        if params is None:
            params = {}
        if not align:
            aln = LoadSeqs(data=seqsin, moltype=RNA, aligned=True)
        else:
            aln = align_unaligned_seqs(seqsin, RNA, params=params)
        bayesinput = BayesInputWrapper(aln.getSeqNames(),
                                       map(str, aln.iterSeqs()),
                                       str(temperature))
        bayescalc = BayesCalculation(bayesinput)
        bayescalc.run()
        struct = str(bayescalc.Alignment.Structures).split()[1]
        del bayescalc
        del bayesinput
        return aln, struct
    except Exception, e:
        print "BAYESFOLD ERROR: ", format_exc(e)
        raise RuntimeError("BAYESFOLD ERROR: ", format_exc(e))
Example #3
0
from cogent.parse.fasta import MinimalFastaParser
from sys import argv
from cogent import LoadSeqs, RNA

class BayesWrapper:
    def __init__(self,name,labels,seqs):
        self.name = name
        self.temperature = '37'
        self.primer3 = ''
        self.primer5 = ''
        self.labels = labels
        self.sequences = seqs
        self.mappings = []
        self.id = '12345'


if __name__ == "__main__":
    aln = LoadSeqs(argv[1], moltype=RNA)
    headers = aln.getSeqNames()
    seqs = map(str, aln.iterSeqs())
    print headers
    print seqs
    test = BayesWrapper('test', headers, seqs)
    temperature = 37
    bayescalc = BayesCalculation(test)
    bayescalc.run()
    print str(bayescalc.Alignment.Structures).split()[1]
    #sequences = RNAAlignment(sequences=seqs)
    #structures = sequences.fold(temperature, 2, 100) 
    #alignment = RNAStructureAlignment(sequences,structures,temperature).Structures
    #print str(alignment).split("\n")[0]