Omics have changed the way therapeutics are developed, materializing the vision of personalized medicine. Predicting individual responses to drugs and improving safety and efficacy has led to radical advances in drug discovery and design, gene therapy and in-vivo models. Our solutions include software development and advanced omics analyses to boost product research and development, while integrating with existing workflows.
SOLUTIONS FOR THERAPEUTICS
Gene therapy
Gene regulation requires a deep understanding of genomics, transcriptomics and epigenomics to develop novel therapies.
In-vivo models
Animal models are a powerful tool to develop new therapies for humans, being aided by omics tools to unravel precise responses to treatments.
Drug discovery
Omics are a key element in understanding how new drugs work at a molecular level, leading to precise and efficient product development processes.
RELATED ANALYSES
Capture sequencing analysis
Whole Exome Sequencing analysis
Whole Genome Sequencing analysis
Variant interpretation
Single-cell analysis
Multi-omics data integration
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?
MICK is a digital decision support platform that helps doctors integrate microbiome analysis into clinical practice, to help guide therapeutic decisions and provide targeted prevention to patients.
MICK is designed to help healthcare professionals offer personalized medical advice to patients through microbiome analysis.
- MICK automatically identifies the microorganisms in a sample, analyses key microbiome health status patterns and functionality, and performs an in-depth characterization of identified pathogens
- Monitor patients’ microbiome status over time. Record key aspects of patients’ health. Unlock Global Health Index and Nutrition Index to go deeper into your analysis
- Access a ready-to-use report to easily communicate and share the results with patients online and offline. Customize the report to fit your needs.
GINO is a user-friendly, accurate, fast and scalable software that boosts the exploitation of genomics data. It performs automated variant analysis and interpretation, working with NGS data from targeted sequencing, Whole Exome Sequencing and Whole Genome Sequencing.
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?
