Recent Releases of micom
micom - Release v0.21.0
Please see https://github.com/micom-dev/micom/blob/master/NEWS.md for the full release notes.
- Python
Published by github-actions[bot] about 5 years ago
micom - v0.9.0
Version 0.9 is probably one of the largest releases to micom yet and brings a lot of changes and features. I invite you to check out the new documentation at https://resendislab.github.io/micom.
Major changes
- completely new method
cooperative trade-offto get a unique set of growth rates for the taxa in the community - allowed larger and custom bounds for exchanges between environment and microbes
- taxa knockouts to analyze co-dependencies
- elasticity coefficients to evaluate the effect of single target interventions
- improved numerical stability
- Python
Published by cdiener over 7 years ago
micom - v0.7.0
This release makes micom compatible with symengine which brings a 25% speed-up across the board.
Major changes:
Community loses its objectives attribute and gains a new species attribute listing the species in the community. The actual species objectives are still available in model.constraints["objective_" + species_id]. This was necessary since symengine expressions can not be pickled.
- Python
Published by cdiener over 8 years ago
micom - v0.4.0
Changes
CommunitySolution.community_growthwas renamed toCommunitySolution.growth_rateCommunitySolution.growth_ratesis now contained inCommunitySolution.members.growth_ratealong with additional info- added
util.joinfunction to join models taxonomy.filenow accepts a list of models that will be joined into one (for instance when you have several strain models for one species)Community.optimizenow defaults toslim=Trueto avoid calculating costly pFBAs for large models
- Python
Published by cdiener over 8 years ago
micom - v0.2.0
This is the first pretty much complete version of micom. Base functionality seems to work, however the project is still in an early stage and might require further testing.
New features
- adds several OptCom methods and alternative formulations based on lagrangian forms
- adds
minimal_mediumfunction to calculate the minimum growth medium for a given community
- Python
Published by cdiener almost 9 years ago
micom - v0.1.0
This is the first release of micom.
micom is still experimental and has no stable API or functionality yet
micom now has the following functionality:
- build community models
- manage interchanges between individuals and the external medium correctly incorporating measured abundances for individuals
- basic analysis for the models like metabolic distance
- egoistic and commensal community objectives for optimization
- linear optcom algorithm that can find the best whole-community growth rate given that individuals still can reach a percentage X of their egoistic maximum growth rate
still missing:
- deleting single organism and tracking the effect on community growth rates
- dualized version of optcom
- Python
Published by cdiener almost 9 years ago