Therapeutics
Accelerating the development of omics-based therapies.
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
Related analyses
- Capture sequencing analysis
- Whole Exome Sequencing analysis
- Whole Genome Sequencing analysis
- Variant interpretation
- Single-cell analysis
- Multi-omics data integration
Related SaaS
MICK is the first all-in-one microbiome platform for forward thinking healthcare and wellness. The flexibility to enjoy only what your need from your data , the way you want and without a single line of coding.
MICK is the new way to enjoy microbiome data:
- MICK automatically identifies the microorganisms in a sample, analyses key microbiome health status patterns and functionality , 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.
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?
Related publications
Nuclear AGO1 Regulates Gene Expression by Affecting Chromatin Architecture in Human Cells
Authors: Muhammad Shuaib, Krishna Mohan Parsi, Hideya Kawaji, Manjula Thimma, [...]
Whole-Genome Sequencing of an Uncommon Cryptococcus neoformans MLST43 Genotype Isolated in Nigeria
Authors: Nnaemeka Emmanuel Nnadi, Domenico Giosa, Grace Mebi Ayanbimpe, Enrico [...]
Gut Microbiota Profiles Differ among Individuals Depending on Their Region of Origin: An Italian Pilot Stud
Authors: Andrea Fontana, Concetta Panebianco, Andrea Picchianti-Diamanti, Bruno Laganà, Duccio [...]
LOXL2-mediated H3K4 oxidation reduces chromatin accessibility in triple-negative breast cancer cells
Authors: J. P. Cebrià-Costa, L. Pascual-Reguant, A. Gonzalez-Perez, G. Serra-Bardenys, [...]