LQS statistics

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Citations per year

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Associated diseases

Associated diseases

LQS specifications


Unique identifier OMICS_19149
Name LQS
Software type Pipeline/Workflow
Interface Command line interface
Restrictions to use None
Input format FASTA, FASTQ
Biological technology Oxford Nanopore
Operating system Unix/Linux
Programming languages Python, R
Computer skills Advanced
Stability Stable
Maintained Yes



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  • person_outline Jared Simpson <>

Publication for LQS

LQS in publication

PMCID: 5093776
PMID: 27646134
DOI: 10.1016/j.gpb.2016.05.004

[…] level of base errors in sequencing reads, assembly pipelines for minion data use the same strategies as those successfully used for pacbio single molecule long reads. the loman, quick and simpson (lqs) pipeline presents an excellent example on how a high quality assembly could be produced from nanopore sequencing data by following the steps of preassembly data processing, overlap detection, […]

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LQS institution(s)
Institute of Microbiology and Infection, University of Birmingham, Birmingham, UK; Ontario Institute for Cancer Research, Toronto, Ontario, Canada; Department of Computer Science, University of Toronto, Toronto, Ontario, Canada
LQS funding source(s)
Supported by a Medical Research Council Special Training Fellowship in Biomedical Informatics; by the UK National Institute for Health Research (NIHR) Surgical Reconstruction and Microbiology Research Centre; by the Ontario Institute for Cancer Research through funding provided by the Government of Ontario.

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