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changed README!
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rbpisupati committed Dec 14, 2016
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7 changes: 3 additions & 4 deletions README.md
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Expand Up @@ -16,7 +16,7 @@ pip install SNPmatch

### Requirements

The snpmatch uses various python packages (numpy, pandas, pygwas, vcfnp). The main SNP database should be a HDF5 file with specific keys. Mainly read using pygwas package.
The SNPmatch uses various python packages (numpy, pandas, pygwas, vcfnp). The main SNP database should be a HDF5 file with specific keys. Mainly read using pygwas package.

### Input files

Expand Down Expand Up @@ -47,6 +47,8 @@ SNPmatch can be run as bash commands given below. A detailed manual for each com
```bash
snpmatch inbred -i input_file -d db.hdf5 -e db.acc.hdf5 -o output_file
snpmatch cross -i input_file -d db.hdf5 -e db.acc.hdf5 -o output_file -s score_file
# the SNPmatch parser
snpmatch parser -i intput_file -o output_npz
```


Expand All @@ -71,6 +73,3 @@ SNPmatch can be run directly for A. thaliana researchers as a web tool, [AraGeno

- Rahul Pisupati (rahul.pisupati[at]gmi.oeaw.ac.at)
- Ümit Seren (uemit.seren[at]gmi.oeaw.ac.at)

## License
MIT license
8 changes: 4 additions & 4 deletions setup.py
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Expand Up @@ -5,17 +5,17 @@
here = path.abspath(path.dirname(__file__))

# Get the long description from the relevant file
with open(path.join(here, 'README.rst'), encoding='utf-8') as f:
with open(path.join(here, 'README.md'), encoding='utf-8') as f:
long_description = f.read()

setup(
name='SNPmatch',
version='1.7.0',
description='A tool to get maximum likely accession in database',
description='A simple python library to identify the most likely strain given the SNPs for a sample',
long_description=long_description,
url='https://github.com/Gregor-Mendel-Institute/snpmatch',
url='https://github.com/Gregor-Mendel-Institute/SNPmatch',
author=['Rahul Pisupati'],
author_email='rahul.[email protected]',
author_email='rahul.[email protected]',
license='GMI',
classifiers=[
'Development Status :: 5 - Production/Stable',
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