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# seqspace
[](https://nnoll.github.io/seqspace/)
> a Julia library to normalize scRNAseq expression data and discover its low-dimensional latent space parameterization
## Overview
**SeqSpace** provides both a Julia library, as well as a command line interface, to both normalize scRNAseq data and learn, if applicable, the underlying low-dimensional geometry.
Our methodology is intended to be used on datasets that are well described by a small number of continuous degrees of freedom and thus represents an _orthogonal_ viewpoint to that usually taken by traditional cell atlases.
The inference from gene expression to continuous variables can be accomplished in either a supervised fashion, by mapping to a user-supplied database, or via an unsupervised approach that relies upon a novel machine learning architecture.
**SeqSpace** is a standalone tool that we anticipate will be useful in analyzing scRNAseq data of developing systems.
## Installation
The core algorithm and command line tools are self-contained and require no additional dependencies.
The library is written in and thus requires Julia to be installed on your machine.
Julia binaries for all operating systems can be found [here](https://julialang.org/downloads/).
### Library
#### Local Environment
Clone the repository
```bash
git clone https://github.com/nnoll/seqspace.git && cd seqspace
```
Build the package. This will create a separate Julia environment for **SeqSpace**
```bash
julia --project=. -e 'using Pkg; Pkg.build()'
```
Enter the REPL
```bash
julia --project=.
```
#### Global Package
**Important** please do not mix this method with that described above.
Instead of creating a _local_ SeqSpace specific environment, this method will install into the Julia base environment.
We recommend, unless for a specific reason, to default to installing within a local environment.
However, if needed, global installation can be achieved by running
```bash
julia -e 'using Pkg; Pkg.add(url="https://github.com/nnoll/seqspace.git")'
```
The SeqSpace package will now be available globally within the Julia REPL.
## Citing
TBA
## License
[MIT License](LICENSE)
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