PyCogent (2)

I've started playing with PyCogent. The first simple tutorial is here. We start by importing stuff:

from cogent import LoadSeqs, DNA fn = 'SThemA.txt' s = LoadSeqs(fn)

This fails, even though the file is in FASTA format.

cogent.parse.record.FileFormatError: Unsupported file format txt

We must change the extension.

fn = 'SThemA.fasta' s = LoadSeqs(fn) print s.MolType

Now, this kinda sorta works, but there is a slight problem:

MolType(('a', 'b', 'c', 'd', 'e', 'f', 'g', 'h', 'i', 'j', 'k', 'l', 'm', 'n', 'o', 'p', 'q', 'r', 's', 't', 'u', 'v', 'w', 'x', 'y', 'z', 'A', 'B', 'C', 'D', 'E', 'F', 'G', 'H', 'I', 'J', 'K', 'L', 'M', 'N', 'O', 'P', 'Q', 'R', 'S', 'T', 'U', 'V', 'W', 'X', 'Y', 'Z'))

We must tell it what type of characters we're dealing with.

fn = 'SThemA.fasta' s = LoadSeqs(fn,moltype=DNA,aligned=False) print s.MolType print s.SeqLen

That's much better:

MolType(('T', 'C', 'A', 'G')) 1257

Let's print the sequence. The commented versions don't work:

# print s[:24] # print s.toDna()[:24] print s.toFasta()[:24]

>ST hemA ATGACCCTTTTAGCG

The error with the first line is:

TypeError: 'SequenceCollection' object is unsubscriptable

Finally, let's translate:

print s.getTranslation()

>ST hemA MTLLALGINHKTAPVSLRERVTFSPDTLDQALDSLLAQPMVQGGVVLSTCNRTELYLSVEEQDNLQEALIRWLCDYHNLNEDDLRNSLYWHQDNDAVSHLMRVASGLDSLVLGEPQILGQVKKAFADSQKGHLNASALERMFQKSFSVAKRVRTETDIGASAVSVAFAACTLARQIFESLSTVTVLLVGAGETIELVARHLREHKVQKMIIANRTRERAQALADEVGAEVISLSDIDARLQDADIIISSTASPLPIIGKGMVERALKSRRNQPMLLVDIAVPRDVEPEVGKLANAYLYSVDDLQSIISHNLAQRQAAAVEAETIVEQEASEFMAWLRAQGASETIREYRSQSEQIRDELTTKALSALQQGGDAQAILQDLAWKLTNRLIHAPTKSLQQAARDGDDERLNILRDSLGLE

But, it only works if I trim off the stop codon in the file. I have no idea how to do this from code, since the objects don't support slicing.

print s.__dict__

{'Info': {'Refs': {}}, '_seqs': [DnaSequence(ATGACCC... 1254)], 'Name': None, 'NamedSeqs': {'ST hemA': DnaSequence(ATGACCC... 1254)}, 'Alphabet': ('T', 'C', 'A', 'G', '-', 'B', 'D', 'H', 'K', 'M', 'N', 'S', 'R', 'W', 'V', 'Y', '?'), 'SeqLen': 1254, 'Names': ['ST hemA'], 'SeqData': [DnaSequence(ATGACCC... 1254)], 'MolType': MolType(('T', 'C', 'A', 'G'))}

Any ideas?

What we can do is manipulate the data before making the object. Now, we can even use a text file!

FH = open('SThemA.txt') data = FH.read().strip() data = data.split('\n',1)[1][:-3] seqs = { 'SThemA':data } s = LoadSeqs(data=seqs, moltype=DNA,aligned=False) print s.getTranslation().toFasta()[:24]

>ST hemA MTLLALGINHKTAPV

We had to split off the title line first, then lose the last three bases. That is good enough for now.