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releasing a new version to pypi
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holtjma committed Mar 22, 2016
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2 changes: 1 addition & 1 deletion MUS/util.py
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#I see no need for the versions to be different as of now
DESC = "A multi-string BWT package for DNA and RNA."
VERSION = '0.2.8'
VERSION = '0.2.9'
PKG_VERSION = VERSION

validCharacters = set(['$', 'A', 'C', 'G', 'N', 'T'])
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11 changes: 9 additions & 2 deletions README
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Introduction
============

Msbwt is a package for combining strings from sequencing into a data structure known as the multi-string BWT (MSBWT).
MSBWT is a package for combining strings from sequencing into a data structure known as the multi-string BWT (MSBWT).
This structure allows for querying a k-mer in O(k) time regardless of how many strings are present in the MSBWT. This
particular package was created originally for merging MSBWTs after creation. In short, this allows for multiple data
sets to be combined into a single structure which allows for queries over both data sets simultaneously.
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http://code.google.com/p/argparse/

*[numpy] - Tested with numpy 1.10.1

The numpy module provide various fast numerical functions for Python. Its latest package can be downloaded from:

http://www.numpy.org

Installation
============

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FM-index will need to be reconstructed for the new data format.
decompress This function takes a compressed MSBWT and converts it back into its original uncompressed format.
The auxiliary FM-index will need to be reconstructed for this format.
convert This function converted a raw text input BWT to our run-length encoded version.

The latest release also includes installation of the Cython library used to load the MSBWTs and perform merges. After
installation, the libraries are available through regular Python imports like so:
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msbwt = MultiStringBWT.loadBWT('/path/to/directory')
msbwt.countOccurrencesOfSeq('CAT')

Other commands are available as well. For more information, refer to the code available at https://code.google.com/p/msbwt/.
Other commands are available as well. For more information, refer to the code available at https://github.com/holtjma/msbwt.

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