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A library of useful C++ classes for working with genomic sequence data and Profile HMMs.
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galosh/prolific
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This is prolific, a C++ library for representing and working with Profile HMMs. Please see the document CITING, which should have been included with this file. You may use at will, subject to the license (GPL v2), but *please cite the relevant papers* in your documentation and publications associated with uses of this library. Thank you! Copyright (C) 2015 by Paul T Edlefsen, Fred Hutchinson Cancer Research Center. This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 2 of the License, or (at your option) any later version. This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. You should have received a copy of the GNU General Public License along with this program. If not, see <http://www.gnu.org/licenses/>. ----- PLATFORMS: Although prolific has been designed for cross-platform use, the current version has only been tested on Mac OS X systems. It should easily install on any other *nix platform. If you are on Windows, and want to compile this, we recommend using Cygwin. If you are able to compile this on Windows or elsewhere, please let us know and tell us what you did to make it happen. Thanks. DEPENDENCIES: prolific relies on a number of other libraries. All are open source and are easy to install. Required external libraries: --- BOOST (tested with version 1.59.0) Seqan (direct from github) HMMoC-BFloat-Algebra: https://github.com/pedlefsen/HMMoC-BFloat-Algebra Recommended galosh libraries: --- prolific: https://github.com/galosh/prolific profuse: https://github.com/galosh/profuse See the document INSTALL for more information. Thank you, Paul Paul T. Edlefsen October 23, 2015
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A library of useful C++ classes for working with genomic sequence data and Profile HMMs.
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