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Multi-omics analysis

Recent developments in omic technologies are revolutionising the life sciences by opening up an unprecedented range of applications and opportunities. They allow us to tackle complex problems that could not be solved by previous approaches. Furthermore, the power of omic approaches increases exponentially when effectively integrated and combined.

At RISE, we harness the full potential of omic analysis to drive breakthrough research and innovation. We offer expertise and support in a range of high-throughput omic techniques and data analysis approaches. This includes:

  • Genomics and metagenomics: sequencing (next-generation sequencing, long-read sequencing) and analysing the entire set of DNA of an organism or microbial community (shotgun).
  • Epigenomics: determining and analysing epigenetic modifications across an entire genome (e.g., DNA methylation), which alter gene expression without changing the DNA sequence.
  • Transcriptomics: sequencing the complete set of RNA transcripts of an organism to elucidate gene expression patterns and changes through differential gene expression analysis.
  • Metatranscriptomics: sequencing and studying the RNA transcripts across an entire microbial community to gain insights into microbial functions and interactions.
  • Proteomics and metaproteomics: LC-MS/MS-based identification and analysis (qualitative and quantitative) of thousands of proteins of an organism or microbial community.
  • Glycomics: determining and analysing the whole set of glycans (glycome) of an organism.
  • Lipidomics: large scale analysis of the set of cellular lipids of an organism.
  • Metabolomics: profiling the set of metabolites and low-molecular weight molecules of an organism.
  • Phenomics: high-throughput assessment of phenotypic traits.
  • Integrative omics: combining data from multiple omic layers to provide a comprehensive understanding of biological systems and identify complex interactions.
  • Bioinformatics and statistics: utilising computational and statistical tools and methods for data integration, analysis and interpretation.
  • Artificial Intelligence: leveraging machine learning and AI to uncover patterns and predictions from vast datasets.

Our breadth of expertise and multidisciplinary nature provides end-to-end integrative and tailored solutions (from study design to data generation, analysis and interpretation). This enables us to generate and analyse complex datasets and gain meaningful insights into complex biological systems, driving scientific discovery and translational research. Through collaborations with academia, industry and healthcare, we strive to push the boundaries of what is possible in the life sciences.

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Francisco Salva Serra

Forskare

+46 73 023 87 91

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Lucia Gonzales Strömberg

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+46 10 516 66 16

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