LotuS pipeline
!Important information!
LotuS v1 is discontinued. Please use LotuS2 instead: LotuS2 websiteLotuS offers a lightweight complete 16S/18S/ITS pipeline to
- Demultiplex and filter fasta or fastq sequences
- Denoise, remove chimeric sequences and cluster sequences into very high quality OTUs that perform at a similar level to mothur / dada2
- Determine taxonomic origin of each OTU using >5 spezialized and general purpose database or statistical algorithms
- Construct OTU, genus, family, class, order and phylum abundance tables in .txt or .biom format
- Reconstruct OTU phylogenetic tree
LotuS is aimed at scientists and bioinformatician that want a simple pipeline that is streamlined to a core functionality of creating OTU and taxa abundance tables, at very fast speeds (e.g. processing an 8GB 16S miSeq run takes ~ 30 min on a laptop). LotuS does not include numerical analysis of samples, instead we designed LotuS output to be easily integrateable into existing workflows in e.g. statistical programming languages like R, QIIME/mothur or Matlab.
sdm is part of LotuS, but can be used in independently to demultiplex or just quality filter sequences (e.g. also for assemblies etc.). Several quality filtering tests are included and sequences can be truncated based on accumulated error rates or quality windows falling below a threshold. It is implemented in C++ and optimized for speed.
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Advantages of LotuS
- Simple installation and updates of pipeline with installation script, no system variables need to be modified. One command executes pipeline.
- Fast: ~ 2 min for 454; ~ 45 min for MiSeq paired end (one full sequencer run each).
- State of the art chimera checking and denoising of OTUs, while keeping high quality full length reads for taxonomic classification and phylogenetic reconstruction.
- More: Can retrieve up to 19% more reads from your sequences, compared to other pipelines.
- Versatile: Works with ITS/SSU/LSU amplicons, has 3 different cluster algorithms and by default 8 different ways to assign a taxonomy to OTUs - all set with a switch in a flag.
- Standardized: Straightforward integration with common numerical ecology software.
If you want to know more details about the algorithm, please see the LotuS publication.
Also see comparative papers including ITS data.
LotuS developments since publication
- highmem mode which is for small datasets ~ 100% faster and for large datasets up to 1000% faster
- direct mapping from clustering to OTU membership
- sdm IO reduction and more reliable format conversions
- more stringent quality filtering using probabilistic filters
- more taxonomic assignment options (utax, several new databases)
- various smaller improvements to existing subroutines, output and log files
- Integration of alternative faster mapper: lambda
- Two alternative OTU clusterings added: swarm for high-definition clusters and a standing classic in the field: cd-hit
- Support for LSU and ITS amplicons, with specific quality controls specific to these amplicons (e.g. ITSx)
- PacBio support
- Multiple databases, either general (RDP, Silva, greengenes) or more specific (UNITE for Fungi, PR2 for unicellular Protists, HITdb for human gut, beeTax for bee gut) and support for custom user databases.
If you have question about LotuS, visit the LotuS webforum