Biofuels
Boosting biofuels production from algae
The efficiency of biofuels production in microalgae has been improved significantly by omics. Yield increases and augmented product quality are driven by molecular breeding, metabolic engineering and gene editing. We offer bioinformatics softwares, tailored analysis and customized solutions to drive improvements in algal production.
Solutions for Biofuels
Related analyses
- Metagenomics analysis
- Metatranscriptomics analysis
- De novo assembly and annotation
- Gene expression analysis
- Multi-omics data integration
- CRISPR off-target identification
Related Cloud Softwares
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!
AIR, Artificial Intelligence RNAseq, is the most revolutionary software to run transcriptomics experiments.
AIR is fast, secure, intuitive, and will manage your data in real-time.
Thanks to our powerful cloud we created a software able to perform automatic Differential gene expression analysis with the same precision as a human curated one. It will leave you speechless.
AIR can answer several questions:
- Which genes are differentially expressed across my samples?
- Which is the function of the differentially expressed genes across my samples?
- Are my samples characterised by a specific transcriptome expression profile?
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?
