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Used for

    Metagenomic analysisClinical diagnosticsMicrobial community profilingGenomic researchData benchmarking

Features

    Comprehensive benchmarking scenariosSupports clinical and environmental samplesEvaluates multiple sequencing technologiesIncludes prokaryotic and eukaryotic organismsSimulates unknown taxaOffers side-by-side tool comparisonDetailed tool performance analysis64 CPUs and 1TB RAM supportRegular updates with new scenariosExcludes host and contaminants filteringBenchmarking taxonomic profilers for metagenomicsComprehensive catalog of evaluated toolsSupports standalone pipeline compatible resourcesEvaluates tools in clinical settingsFocuses on prokaryotic organismsUses simulated reads from mock communitiesProvides insights into tool performanceIncludes tools with embedded referencesUtilizes 64 CPUs and 1TB RAM for computationsEnsures equal evaluation of tools in terms of runtime

What is Lemmi used for?

Lemmi is used for benchmarking taxonomic profilers in metagenomics, helping users evaluate and choose the best-performing tools for their needs.

Who can benefit from using Lemmi?

Microbiologists, bioinformaticians, clinical researchers, genomics researchers, and data scientists in life sciences can benefit from using Lemmi.

What organisms does Lemmi focus on?

Lemmi focuses on prokaryotic organisms in its benchmarking scenarios.

What type of samples does Lemmi evaluate?

Lemmi evaluates clinical samples using simulated reads from mock communities.

What computational resources does Lemmi use?

Lemmi utilizes 64 CPUs and 1TB of RAM for its computations.

Does Lemmi include tools with embedded references?

Yes, Lemmi includes tools with embedded references in its evaluations.

How does Lemmi ensure fair evaluation of tools?

Lemmi ensures fair evaluation by providing equal computational resources and not including hosts and contaminants that some tools do not filter.

What is the taxonomy used by Lemmi?

Lemmi uses the NCBI taxonomy for its evaluations.

Can Lemmi handle unknown taxa in simulations?

No, Lemmi does not simulate unknown taxa in its evaluations.

Is Lemmi suitable for low abundance target analysis?

No, Lemmi does not focus on low abundance targets in its benchmarking scenarios.

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