pyhml 0.0.5

Features

import pyhml
hml_file = "hml_example.xml"
hmlparser = pyhml.HmlParser()
hml = hmlparser.parse(hml_file)
outdir = 'output/directory'

# Print out each subject in fasta format
hml.tobiotype(outdir, dtype='fasta', by='subject')

# Print out the full HML file in IMGT dat file format
hml.tobiotype(outdir, dtype='imgt', by='file')

# Get pandas DF from HML object
pandasdf = hml.toPandas()
print(pandasdf)

         ID     Locus                             glstring dbversion  \
    0   1367-7150-8     HLA-A        HLA-A*01:01:01+HLA-A*24:02:01    3.14.0
    1   1367-7150-8     HLA-A        HLA-A*01:01:01+HLA-A*24:02:01    3.14.0
    2   1367-7150-8     HLA-A        HLA-A*01:01:01+HLA-A*24:02:01    3.14.0
    3   1367-7150-8     HLA-A        HLA-A*01:01:01+HLA-A*24:02:01    3.14.0
    4   1367-7150-8     HLA-B        HLA-B*08:01:01+HLA-B*57:01:01    3.14.0
    5   1367-7150-8     HLA-B        HLA-B*08:01:01+HLA-B*57:01:01    3.14.0
    6   1367-7150-8     HLA-B        HLA-B*08:01:01+HLA-B*57:01:01    3.14.0
    7   1367-7150-8     HLA-B        HLA-B*08:01:01+HLA-B*57:01:01    3.14.0
    8   1367-7150-8     HLA-C        HLA-C*06:02:01+HLA-C*07:01:01    3.14.0
    9   1367-7150-8     HLA-C        HLA-C*06:02:01+HLA-C*07:01:01    3.14.0
    10  1367-7150-8     HLA-C        HLA-C*06:02:01+HLA-C*07:01:01    3.14.0
    11  1367-7150-8     HLA-C        HLA-C*06:02:01+HLA-C*07:01:01    3.14.0
    12  1367-7150-8  HLA-DPB1  HLA-DPB1*02:01:02+HLA-DPB1*04:01:01    3.14.0
    13  1367-7150-8  HLA-DPB1  HLA-DPB1*02:01:02+HLA-DPB1*04:01:01    3.14.0
    14  1367-7150-8  HLA-DRB1  HLA-DRB1*03:01:01+HLA-DRB1*07:01:01    3.15.0
    15  1367-7150-8  HLA-DRB1  HLA-DRB1*03:01:01+HLA-DRB1*07:01:01    3.15.0

                                                 sequence
    0   TTCCTGGATACTCACGACGCGGACCCAGTTCTCACTCCCATTGGGT...
    1   TTCCCGTCAGACCCCCCCAAGACACATATGACCCACCACCCCATCT...
    2   TTCCTGGATACTCACGACGCGGACCCAGTTCTCACTCCCATTGGGT...
    3   GTGCCTGTGTCCAGGCTGGTGTCTGGGTTCTGTGCTCTCTTCCCCA...
    4   CCATGGTGAGTTTCCCTGTACAAGAGTCCAAGGGGAGAGGTAAGTG...
    5   GGCCTCTGCGGAGAGGAGCGAGGGGCCCGCCCGGCGAGGGCGCAGG...
    6   CCATGGTGAGTTTCCCTGTACAAGAGTCCAAGGGGAGAGGTAAGTG...
    7   GGCCTCTGCGGAGAGGAGCGAGGGGCCCGCCCGGCGAGGGCGCAGG...
    8   AGGGATCAGGACGAAGTCCCAGGTCCCGGACGGGGCTCTCAGGGTC...
    9   CGCATCCCCACTTCCCACTCCCATTGGGTGTCGGATATCTAGAGAA...
    10  AGGGATCAGGACGAAGTCCCAGGTCCCGGACGGGGCTCTCAGGGTC...
    11  CGCATCCCCACTTCCCACTCCCATTGGGTGTCGGATATCTAGAGAA...
    12  CCAATTGGCCAATTGGCCAATTGGCCAATTGGCCAATTGGCCAATT...
    13  CCAATTGGCCAATTGGCCAATTGGCCAATTGGCCAATTGGCCAATT...
    14  CATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCA...
    15  CATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCATGCA...

Install

pip install pyhml

Credits

This package was created with Cookiecutter and the audreyr/cookiecutter-pypackage project template.

0.0.5 (2017-04-16)

• Improved documentation

• Fixed issues with parsing HML files with NMDP-CORRECTION

0.0.4 (2017-04-15)

• Fixed dependency issues.

• Moved tobiotype to HML object.

• Moved toDF to HML object and renamed toPandas()

• Added tests and linked to travis.ci

0.0.3 (2017-04-14)

• Added the ability to parse .gz files

• Added the ability to parse HML files with bad tags.

0.0.2 (2017-11-14)

• Fixed issues with parsing HML files with missing data

0.0.1 (2017-10-19)

• First release on PyPI.