You may still use GATB-minia-pipeline in 2023 to assemble short reads. When doing so, I recommend a few tweaks: skip installation of bwa/BESST, and use options --no-scaffolding --no-error-correction
. You will still get a fine an efficient multi-k assembly, without paired-end information that doesn't bring much contiguity gain in paired-end short reads anyway. -Rayan
GATB-Minia-Pipeline is a de novo assembly pipeline for Illumina data. It can assemble genomes and metagenomes.
It is multi-k, to aim for high contiguity. Similar software: MEGAHIT, metaSPAdes.
The pipeline consists of:
- Bloocoo (error correction)
- Minia 3 (contigs assembly) based on the BCALM2 (unitigs assembly) tool
- BESST (scaffolding)
-
Linux 64 bits (for Minia binary)
-
bwa (for BESST)
-
Python >= 2.7 and < 3 for BESST:
- BESST
BESST does not have a solid Python 3 support, hence only Pytohn 2 is supported.
See next section for a quick way to install them. Note: these Python modules are only needed for BESST. You can skip them if you do not plan on performing scaffolding.
python2 -m pip install --user BESST
git clone --recursive https://github.com/GATB/gatb-minia-pipeline
cd gatb-minia-pipeline ; make test
Command line arguments are similar to SPAdes.
Paired reads assembly:
./gatb -1 read_1.fastq -2 read_2.fastq
paired-end reads given in a single file:
./gatb --12 interleaved_reads.fastq
Unpaired reads:
./gatb -s single_reads.fastq
The final assembly is in:
assembly.fasta
All other files are intermediary.
More input options are available. Type ./gatb
for extended usage.
Since the pipeline is multi-k, it is unnecessary to specify a kmer size.
Don't copy the ./gatb
script to a bin folder it is meant to stay in that directory.
If you have trouble installing BESST, just give up and run ./gatb
nevertheless. You can just skip the scaffolding step and the pipeline will still generate contigs.
If you want to persist compiling, read on.
Can't install BESST ? Try Conda (with Python 2) or Activestate
To contact an author directly: [email protected]