Plass
Plass assembles protein sequences de novo by translating sequencing reads to reconstruct proteins from complex metagenomic and metatranscriptomic datasets.
Key Features:
- High sensitivity and precision: Demonstrates recovery of approximately 2-10 times more protein sequences compared to existing methods.
- Six-frame translation: Translates sequencing reads into protein sequences across all six reading frames to consider all possible coding frames.
- Large-dataset scalability: Scales to very large datasets, demonstrated by assembly of a soil reference protein catalog with 2 billion sequences from 640 soil samples and a marine eukaryotic catalog with 292 million sequences from 775 marine eukaryotic metatranscriptomes.
- Algorithmic optimization: Uses an assembly algorithm optimized for sensitivity and precision to maximize sequence recovery from complex samples.
Scientific Applications:
- Metagenomics and metatranscriptomics assembly: Reconstruction of protein sequences from environmental sequencing reads to generate assemblies for downstream analysis.
- Reference catalog generation: Creation of large-scale protein reference catalogs for soil and marine eukaryotic environments.
- Protein discovery and characterization: Identification and characterization of novel proteins from environmental samples to inform studies of microbial diversity, function, ecology, evolution, and biotechnology.
Methodology:
Translates sequencing reads in six reading frames and performs de novo protein-level assembly using an algorithm optimized for sensitivity and precision.
Topics
Details
- License:
- GPL-3.0
- Maturity:
- Mature
- Cost:
- Free of charge
- Tool Type:
- command-line tool
- Operating Systems:
- Linux, Mac
- Programming Languages:
- C++
- Added:
- 10/12/2019
- Last Updated:
- 11/24/2024
Operations
Data Inputs & Outputs
Sequence assembly
Inputs
Publications
Steinegger M, Mirdita M, Söding J. Protein-level assembly increases protein sequence recovery from metagenomic samples manyfold. Unknown Journal. 2018. doi:10.1101/386110.
DOI: 10.1101/386110
Steinegger M, Mirdita M, Söding J. Protein-level assembly increases protein sequence recovery from metagenomic samples manyfold. Nature Methods. 2019;16(7):603-606. doi:10.1038/s41592-019-0437-4. PMID:31235882.
PMID: 31235882
Downloads
- BinariesVersion: Latest git static build for linuxhttps://mmseqs.com/plass/plass-static_sse41.tar.gz
- BinariesVersion: Latest git static build for macOShttps://mmseqs.com/plass/plass-osx-sse41.tar.gz
- Container filehttps://hub.docker.com/r/soedinglab/plass
Links
Issue tracker
https://github.com/soedinglab/plass/issuesRepository
https://github.com/soedinglab/plassRelated Tools
mmseqs2
Relation: uses