TROPPO
Troppo (Tissue-specific RecOnstruction and Phenotype Prediction using Omics data) is a Python package containing methods for tissue specific reconstruction to use with constraint-based models. The main purpose of this package is to provide an open-source framework which is both modular and flexible to be integrated with other packages, such as cobrapy, framed or cameo whose already provide generic data structures to interpret metabolic models.
A (MI)LP solver is required to use most of the present methods. The current methods support optlang, which in turn allow the use of solvers like CPLEX or Gurobi.
- The current methods implemented are:
FastCORE
CORDA
GIMME
(t)INIT
iMAT
- Methods to be implemented later:
MBA
mCADRE
PRIME
Instalation from PyPI (stable releases)
pip install troppo
Instalation from github (latest development release)
pip install git+https://github.com/BioSystemsUM/troppo.git
Credits and License
Developed at the Centre of Biological Engineering, University of Minho
Released under the GNU Public License (version 3.0).
Metadata
Release files for troppo 0.0.7
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| troppo-0.0.7.tar.gz | 73.3 kB | Without provenance | Details for troppo-0.0.7.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| troppo-0.0.7-py3-none-any.whl | Python 3 | none | any | Details for troppo-0.0.7-py3-none-any.whl |
Total release size: 159.3 kB
Release files / troppo-0.0.7.tar.gz
| Download URL | troppo-0.0.7.tar.gz |
|---|---|
| Size | 73.3 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
03cd1ecc9909a8b88320a91cf7e19f9eed4259dd7b2d54291275461a3b1262b1
|
|
BLAKE2b-256 checksum How to use checksums |
87e30c193d8cb7da7a94144ef8b2523cc503c620b93c133611d9edcaaf815099
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.7.16
|
Release files / troppo-0.0.7-py3-none-any.whl
| Download URL | troppo-0.0.7-py3-none-any.whl |
|---|---|
| Size | 86.0 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
387ac82aa37bff5fefa02f492b6ca87258acbf80046ba10fb665522782894a85
|
|
BLAKE2b-256 checksum How to use checksums |
5ebc5dd8b911e1ccecc0252ac5ff590a4e5fbc561a2d03e9abea036e7ba4a408
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.7.16
|
Security for troppo 0.0.7
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.