Metadata-Version: 2.1
Name: BMSS
Version: 2.0.7
Summary: A package for dyanmic model analysis.
Home-page: https://github.com/EngBioNUS/BMSS2
Author: Russell Ngo
Author-email: biernjk@gmail.com
License: UNKNOWN
Description: # BMSS2
        ![alt text](https://github.com/EngBioNUS/BMSS2/blob/master/BMSSDiagram.png?raw=true)
        
        This package supports routine analysis of kinetic models for biological systems. This includes simulation, sensitivity analysis, model selection and identifiability analysis.
        
        ## Documentation
        The documentation can be found at https://bmss2.readthedocs.io/en/latest/BMSS.html
        
        ## Features
        * Database-driven model storage 
        * Simulation and sensitivity analysis and result plotting
        * Model fitting and selection
        * Trace analysis for _a_ _posteriori_ identifiability analysis
        * Strike-GOLDD algorithm in Python for _a_ _priori_ identifiability analysis
        * Export of models in SBML format
        
        For more information, refer to the BMSS2 documentation. If you wish to know more about our work, visit the [NUS Engineering Biology Lab website](https://engbio.syncti.org).
        
        ## Recommended IDE
        Spyder IDE from Anaconda Distribution [Anaconda Installation]
        
        Recommended: Python 3.7, Other Python versions will be tested soon. 
        
        ## Dependencies: 
        Install the dependent packages using pip as shown below.
        ```
        pip install numpy matplotlib seaborn pandas numba scipy SALib dnaplotlib pyyaml
        ```
        
        ## Optional
        If you wish to put your code in notebook format, install Jupyter using pip as shown below.
        ```
        pip install jupyter
        ```
        or if you are using Anaconda:
        ```
        conda install jupyter
        ```
        
        [Anaconda Installation]: <https://www.anaconda.com/products/individual>
        
        ## Getting started
        The examples folder contains 
        * Step-by-step explanations of BMSS2's functionalities labeled as tutorials
        * Case studies for the characterization of common genetic constructs labeled as examples. 
        
        ## License
        
        Copyright __*2020 EngBioNUS*__
        
        Licensed under the __Apache License, Version 2.0__ (the "License"); you may not use this file except in compliance with the License.
        You may obtain a copy of the License at
        ```
            http://www.apache.org/licenses/LICENSE-2.0
        ```
        Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS,
        WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.
        
        ## Contact Us
        Please feel free to contact us at EngBioBMSS.help@gmail.com if you have any questions or to report any bugs.
        
        [guidelines for contributing]: <https://github.com/EngBioNUS/BMSS2/blob/master/contributing.md>
        
        ## Contributing to the Project
        Anyone and everyone is welcome to contribute. Please review the [guidelines for contributing]
        
Platform: UNKNOWN
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.7
Description-Content-Type: text/markdown
