[CAMISIM](https://github.com/CAMI-challenge/CAMISIM) can model different microbial abundance
profiles (from multi-sample time series to differential abundance studies) and was used to
generate the benchmark data sets of the first CAMI challenge.
[InSilicoSeq](https://github.com/HadrienG/InSilicoSeq) is a sequencing simulator producing
realistic Illumina reads. Primarily intended for simulating metagenomic samples, it can also
be used to produce sequencing data from a single genome.
We describe here only the usage of de novo metagenomes simulation. For a more exhaustive
documentation, please refer to [CASISIM wiki](https://github.com/CAMI-challenge/CAMISIM/wiki).
We describe here only the usage for a simple simulation. For a more exhaustive documentation,
please refer to [InSilicoSeq documentation](https://insilicoseq.readthedocs.io/en/latest/?badge=latest).
## Install
CAMISIM contains a lot of dependencies and the list can be found [Here](https://github.com/CAMI-challenge/CAMISIM/wiki/User-manual#installation).
You have several ways of installing InSilico seq that can be found [Here](https://insilicoseq.readthedocs.io/en/latest/iss/install.html).
However, we recommand the use of the docker image `cami/camisim:latest` or the singularity one ([here](https://gitlab.pasteur.fr/metagenomics/singularity/tree/master/tools/camisim), only from docker for the moment).
Here, we will use of the docker image `hadrieng/insilicoseq:1.4.2` or the singularity one
