Unverified Commit c368f7d0 authored by St. Elmo's avatar St. Elmo
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fixed bad grammer

parent 39d5818a
......@@ -29,7 +29,7 @@ This is package provides constraint-based reconstruction and analysis tools for
- **Operating system**: Use Linux (Debian, Ubuntu or centOS), MacOS, or Windows 10 as your operating system. `COBREXA` has been tested on these systems.
- **Julia language**: In order to use `COBREXA`, you need to install Julia 1.0 or higher. Download and follow the installation instructions for Julia [here](https://julialang.org/downloads/).
- **Hardware requirements**: `COBREXA` runs on any hardware that can run Julia, and can easily use resources from multiple computers interconnected on a network. For processing large datasets, you are required to ensure that the total amount of available RAM on all involved computers is larger than the data size.
- **Optimization solvers**: `COBREXA` uses [`JuMP.jl`](https://github.com/jump-dev/JuMP.jl) to formulate optimization problems and is compatible with all [`JuMP` supported solvers](https://jump.dev/JuMP.jl/stable/installation/#Supported-solvers). However, to perform analysis at least one of thes solvers need to be installed on your machine. For a pure Julia we recommend [`Tulip.jl`](https://github.com/ds4dm/Tulip.jl), but any other solver would also work.
- **Optimization solvers**: `COBREXA` uses [`JuMP.jl`](https://github.com/jump-dev/JuMP.jl) to formulate optimization problems and is compatible with all [`JuMP` supported solvers](https://jump.dev/JuMP.jl/stable/installation/#Supported-solvers). However, to perform analysis at least one of these solvers needs to be installed on your machine. For a pure Julia implementation, we recommend [`Tulip.jl`](https://github.com/ds4dm/Tulip.jl), but any other solver would also work.
:bulb: If you are new to Julia, it is adviseable to [familiarize youself with
the environment
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