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The research scientists associated with Alma Sequencing IRT possess competences and capabilities stretching from life sciences to ethics, systems biology to environment, metagenomics to bioinformatics and high scale computing.

Health and disease

  • Prevention and early diagnosis of disease using gene expression profiling, copy number variant detection and biomarkers identification.
  • Clinical and translational medicine: in-silico medicine for disease management and prediction.
  • Screening programmes and assessment of disease susceptibility (personalized medicine, population genomics).
  • Cancer genetics: “omic” analyses of tumour cell lines, identification of genome variants (SNPs and SNVs, insertion/deletion, fusion) in rare tumour patients in order to identify novel therapeutic targets.
  • Pharmacogenomics, gene and cell therapy, vaccine development.
  • Mitochondrial genome sequencing.
  • Sequencing of infected patients to understand HIV molecular evolution and its mechanisms of resistance to antiretroviral drugs.
  • Anthropological polymorphism in population evolution studies to identify genomic and genetic variants.
  • Whole transciptome, exome and epigenome studies in paediatric and elderly population.
  • Epidemiology studies, systems biology and meta-analysis.

Green and Bioeconmy

  • Sustainable livestock and crop production.
  • Population genomics for studying the ecology and traceability of fishery and animal products relevant to human nutrition.
  • Dynamics of marine ecosystems for a sustainable blue growth.
  • Genomics of domestic animals.
  • Improvement of food proprieties through controlled breeding schemes to select for inheritable traits such as fat deposit and meat quality.
  • Genome deep sequencing of fruit trees, activation of immunity and resistance mechanisms, expression of allergens.
  • Genomics of wheat crops, SNP discovery and genotyping; plant species improvement, by selection of infection resistance and stress tolerance traits, better suited to climate changes.
  • Ecology of microbial communities affecting human health.
  • Human microbiota: effect of diet, age and lifestyle.
  • Virome and microbiome in plants and animals: early detection and prevention of zoonotic diseases.
  • Bioremediation of polluted water and decontamination of soil.
  • Biotechnology applications of biomaterials.

Information and communication technology

  • Data analysis and annotation, modelling and predictions, data infrastructure.
  • Advanced methodologies for the data compression and stochastic processing.
  • Graphical models, data mining, database.
  • Information theory and data protection.
  • Cloud computing and data storage.

Social sciences

  • Privacy and healthcare: processing of biological sample and protection of sensitive data.
  • Treatment of biological data and informed consent.
  • Legal and ethical issues arising from genetic tests and screenings.