Discover a hidden diversity


Working at virus, prokaryote and eukaryote level

Metagenomics analysis

Metatranscriptomics and comparative metagenomics

Taxonomical classification

Integration of taxonomical and functional data

Functional classification

Related Omics Tools

Logo Gaia


Gaia is the Queen of Metagenomics. She has been designed to give you the maximum information on your sample, whether you perform 16/18S, virome or SHOTGUN analysis.

GAIA is able to obtain a comprehensive and detailed overview of microbiomes of different origins: human (stomach, skin, etc.), agricultural and environmental (land, water, organic waste, etc.)

GAIA works at any organism level (eukaryotes, prokaryotes and viruses) and automatically integrates taxonomical classification with functional classification.

GAIA can answer several questions:

  • Which species are present in my samples?
  • Which gene functions are present in my samples?
  • Which species are responsible for a specific function in my samples

On a graphical user interface level, GAIA allows you to navigate seamlessly through your data and even compare your samples in real-time!

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What can you expect from us

Integrated project management: from experiment design to data interpretation

High data privacy and security

Curated output to quickly reach the scientific goal

Fast production of results

Private IT infrastructure and cloud systems

Custom workflows

Up-to-date scientific knowledge

A mixed approach of unique well-referenced and published bioinformatics methods

Our innovative metagenomics pipeline, which complements those of genomics, transcriptomics and epigenomics, is designed to work with both data obtained using shotgun protocols and with selective amplifications (sequencing of 16S, sequencing of 18S, etc.).

The use of our pipeline enables us to obtain a comprehensive and detailed overview of microbiomes of different origins: human health (stomach, skin, etc.), agriculture and environment (land, water, organic waste, etc.). Due to their high effectiveness, a specific overview is obtained of all species with a presence of more than 1% in the sample. The scientific classification to work at higher levels (prokaryotes, eukaryotes and viruses) is automatically integrated with a functional classification.

This method that we use at Sequentia answers the most frequently asked questions posed by scientists working with metagenomics data.

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