abifpy is a python module that extracts sequence and various other data from Applied Biosystem's, Inc. format (ABIF) file. The module was written based on the official spec released by Applied Biosystems.
The module provides the following methods and attributes:
- seq(sequence)
- Returns a string of nucleotide sequence from the trace file.
- qual([char=True])
- Returns a list of ascii characters of phred quality values (offset 33)
if
char=False
, the phred quality values is returned instead. - trim(sequence[, cutoff=0.05])
- Trims the sequence using Richard Mott's algorithm (used in phred)
with the probability cutoff of 0.05, can be used for trimming quality
values returned by
qual()
as well. - seqrecord()
- Returns a SeqRecord object of the trace file (only if Biopython is installed).
- get_data(key)
- Returns a metadata stored in the file, accepts keys from
data
(see below). This is a half-cooked method, not yet capable of extracting the entire file metadata. - write([out_file="", qual=0])
- Writes a fasta (
qual=0
), qual (qual=1
), or fastq (qual=1
) file from the trace file. Default output is tracefile.fa. - TAGS
- Dictionary for determining which metadata are extracted.
- meta
- Dictionary that contains the file metadata. The keys are values of
TAGS
, except forid
which is the trace file name. Default keys aresampleid
(sample ID),well
(sample well), andinstrument
(sequencing machine model). - data
- Dictionary of tags with values of data directory contents. Keys are tag name and
tag number, concatenated. Use
get_data()
to decode values indata
.
$ python >>> import abifpy >>> yummy = abifpy.Trace('tracefile.ab1')
Or if you want to perform base trimming directly:
>>> yummy = abifpy.Trace('tracefile.ab1', trimming=True)
Viewing the trace file metadata is easy:
>>> yummy.meta['sampleid'] 'TOPO_clone1_F' >>> yummy.meta['well'] 'B6' >>> yummy.meta['instrument'] '3730xl'
If trimming was not performed when instantiating, you can still do it afterwards:
>>> yummy.trim(yummy.seq())
The quality values itself can be trimmed as well:
>>> yummy.trim(yummy.qual())
Metadata not contained in meta
can be viewed using get_dir()
with one of the keys in data
as the argument, e.g.:
>>> yummy.get_dir('GTyp1') 'POP7'
Be warned that this method is half-cooked. Sometimes it returns the value you want,
other times it returns None
. For more info on the meaning of these tags and
the file metadata, consult the official spec.
Just add the abifpy directory to your $PYTHONPATH
(in .bashrc
to make it persistent).
abifpy is licensed under the MIT License.
Copyright (c) 2011 by Wibowo Arindrarto
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.