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
Algal biotech
Algae are key targets of genetic engineering, due to their production potential and relatively simpler genomes. Omics are enabling multiple strategies to engineer algae for specific purposes, including biofuel production.
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 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?
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?
