PLASS - Protein-Level ASSembler
Plass (Protein-Level ASSembler) is a software to assemble short read sequencing data on a protein level. The main purpose of Plass is the assembly of complex metagenomic datasets. It assembles 10 times more protein residues in soil metagenomes than Megahit. Plass is GPL-licensed open source software that is implemented in C++ and available for Linux and macOS. The software is designed to run on multiple cores. Plass was used to create a Soil Reference Catalog (SRC) and a Marine Eukaryotic Reference Catalog (MERC).
Soil Reference Catalog (SRC) and Marine Eukaryotic Reference Catalog (MERC)
SRC was created by assembling 640 soil metagenome samples. MERC was assembled from the the metatranscriptomics datasets created by the TARA ocean expedition. Both catalogues were redundancy reduced to 90% sequence identity at 90% coverage. Each catalog is a single FASTA file containing the sequences, the header identifiers contain the Sequence Read Archive (SRA) identifiers. The catalogues can be downloaded here. We provide a HH-suite3 database called "BFD" containing sequences from the Metaclust, SRC, MERC and Uniport at here.
Plass can be install via conda or as statically compiled Linux version. Plass requires a 64-bit Linux/MacOS system (check with
uname -a | grep x86_64) with at least the SSE4.1 instruction set.
# install from bioconda conda install -c conda-forge -c bioconda plass # latest static linux build wget https://mmseqs.com/plass/plass-static_sse41.tar.gz; tar xvfz plass-static_sse41.tar.gz; export PATH=$(pwd)/plass/bin/:$PATH
How to assemble
Plass can assemble both paired-end reads (FASTQ) and single reads (FASTA or FASTQ):
# assemble paired-end reads plass assemble examples/reads_1.fastq.gz examples/reads_2.fastq.gz assembly.fas tmp # assemble single-end reads plass assemble examples/reads_1.fastq.gz assembly.fas tmp # assemble single-end reads using stdin cat examples/reads_1.fastq.gz | plass assemble stdin assembly.fas tmp
--min-seq-id Adjusts the overlap sequence identity threshold --min-length minimum codon length for ORF prediction (default: 40) -e E-value threshold for overlaps --num-iterations Number of iterations of assembly --filter-proteins Switches the neural network protein filter off/on
plass assemble Assembles proteins (i:Nucleotides -> o:Proteins) plass nuclassemble Assembles nucleotides *experimental* (i:Nucleotides -> o:Nucleotides)
Assemble using MPI
Plass can be distrubted over several homogeneous computers. However the TMP folder has to be shared between all nodes (e.g. NFS). The following command assembles several nodes:
RUNNER="mpirun -np 42" plass assemble examples/reads_1.fastq.gz examples/reads_2.fastq.gz assembly.fas tmp
Compile from source
Compiling PLASS from source has the advantage that it will be optimized to the specific system, which should improve its performance. To compile PLASS
g++ (4.6 or higher) and
cmake (3.0 or higher) are required. Afterwards, the PLASS binary will be located in the
git clone https://github.com/soedinglab/plass.git cd plass git submodule update --init mkdir build && cd build cmake -DCMAKE_BUILD_TYPE=RELEASE -DCMAKE_INSTALL_PREFIX=. .. make -j 4 && make install export PATH="$(pwd)/bin/:$PATH"
gcc from Homebrew. The default macOS
clang compiler does not support OpenMP and PLASS will not be able to run multithreaded. Use the following cmake call:
CXX="$(brew --prefix)/bin/g++-8" cmake -DCMAKE_BUILD_TYPE=RELEASE -DCMAKE_INSTALL_PREFIX=. ..
Use the docker image
We also provide a Docker image of Plass. You can mount the current directory containing the reads to be assembled and run plass with the following command:
docker pull soedinglab/plass docker run -ti --rm -v "$(pwd):/app" -w /app plass assemble reads_1.fastq reads_2.fastq assembly.fas tmp
Plass needs roughly 1 byte of memory per residue to work efficiently. Plass will scale its memory consumption based on the available main memory of the machine. Plass needs a CPU with at least the SSE4.1 instruction set to run.