Python library for normalizing and analyzing HiC and 5C data
package: name: hifive version: "1.2.1" source: fn: hifive-1.2.1.tar.gz url: https://pypi.python.org/packages/source/h/hifive/hifive-1.2.1.tar.gz md5: 352aa34feca6eb7275f71cb5d7ba3392 build: skip: True # [not py27] number: 0 requirements: build: - python - setuptools - numpy - scipy - h5py - cython - setuptools_cython run: - python - numpy - scipy - h5py - cython - setuptools_cython # these are listed as optional - pyx ==0.12.1 # 0.12.1 is the latest pyx version supported on PY2 - pysam - pil - mpi4py #- mlpy # used for hifive.hic.learn_fend_3D_modol, but conda build currently fails test: # Python imports imports: - hifive - hifive.commands - hifive.libraries # commands: # You can put test commands to be run here. Use this to test that the # entry points work. # You can also put a file called run_test.py in the recipe that will be run # at test time. requires: - nose # Put any additional test requirements here. For example # - nose about: home: https://github.com/bxlab/hifive license: MIT summary: 'Python library for normalizing and analyzing HiC and 5C data'