Metagenomics
Discover a hidden diversity
Related Omics Tools
GAIA is a highly reliable and versatile metagenomics data analysis software. It performs taxonomic and functional analyses, delivering clear and precise results. GAIA works with Amplicon (16S/18S/ITS), Shotgun and metatranscriptomics data from any type of sample (including human, soil and water microbiomes), any sequencing platform (Illumina, PacBio, Oxford Nanopore), and any type of organism (prokaryotes, eukaryotes and viruses).
GAIA is user-friendly, cloud-based and dynamic. It can be used by anyone, since it doesn’t require any coding skills or computational infrastructure; and enables experimental design, results navigation, real time comparisons, data re-analysis and storage.
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?
GINO features customised variant filtering, virtual panels generation, trios analysis and can analyze both germline and somatic variants. It automatically generates curated reports adapted to its user’s desired outputs. GINO is a cloud-based software, allowing its users to access from any point and avoiding the need of large computational infrastructures.
GINO can answer several questions, such as:
- Which variants are present in a given individual?
- Which variants are likely to be pathogenic?
- What is the probability of inheriting a pathogenic variant?
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What can you expect from us
Metagenomics expertise
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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