If you are looking to do high-quality genome or metagenome assemblies, please go here: https://github.com/GATB/gatb-minia-pipeline This is a pipeline built on top of Minia that does a similar algorithm to metaSpades and MEGAHIT (multi-k assembly).
Minia is a short-read assembler based on a de Bruijn graph, capable of assembling a human genome on a desktop computer in a day. The output of Minia is a set of contigs. Back when it was released, Minia produced results of similar contiguity and accuracy to other de Bruijn assemblers (e.g. Velvet). Now (2015 onwards), genome assemblers have evolved and in order ot have high contiguity, see the previous section.
It is recommended to use download the latest binary release (Linux or OSX) there: https://github.com/GATB/minia/releases
Otherwise, Minia may be compiled from sources as follows:
# get a local copy of minia source code
git clone --recursive https://github.com/GATB/minia.git
# compile the code an run a simple test on your computer
cd minia
sh INSTALL
CMake 3.10+; see http://www.cmake.org/cmake/resources/software.html
C++11 compiler; (g++ version>=4.7 (Linux), clang version>=4.3 (Mac OSX))
Type minia without any arguments for usage instructions.
A more complete manual is here: https://github.com/GATB/minia/raw/master/doc/manual.pdf
Minia version 1 was implementing a rather unusual way to perform the assembly: traverse the graph and attempt to jump over errors and variants. This worked rather okay but not for e.g. repeated regions with many sequencing errors. Minia version 2 also followed the same philosophy, and had major improvements coming from the integration of the GATB library (mostly speed improvements) and cascading Bloom filter. Minia version 3 uses newer techniques and has virtually nothing in common with Minia 1: there is no Bloom filter anymore (the data structure is based on unitigs produced by the BCALM software). The assembly is performed using graph simplifications that are heavily inspired by the SPAdes assembler.
To contact a developer, request help, etc: https://gatb.inria.fr/contact/
