Genomic Analysis

Harnessing AI/ML to transform genomic data into actionable insights faster

Context

Why Genomic Insights Matter

Source: https://www.nature.com/articles/d41573-023-00158-x

Genomic insights are revolutionizing drug discovery, enabling novel target identification, personalized medicine, and more effective clinical trials. Studies show that leveraging genetics can double or even triple the success rates of clinical trials, with improvements up to fivefold when combined with advanced gene mapping.

However, the path from gene association to therapeutic breakthrough remains long and challenging. Even with promising genetic discoveries, the average time to drug approval exceeds 25 years, with most programs failing.

Genomic evidence is critical to de-risking drug development. By providing insights into disease mechanisms, target druggability, potential safety concerns (including pleiotropic effects), and optimal dosages, genomics empowers researchers to make more informed decisions at every stage.

How We Can Help

Bridge the gap between data and discovery, harnessing the full potential of your genomic data.

Our solutions enable you to:

  • Confidently assess target druggability and prioritize candidates.
  • Pinpoint the molecular mechanisms underlying disease and drug response.
  • Identify individuals at high risk and personalize treatment strategies.
  • Predict drug efficacy, potential side effects, and the causal genes for the same.
  • Visualize and interpret/ integrate complex genomic data with ease.
  • Optimize clinical trial design by stratifying patients for a study cohort.
  • Gain insights into real-world drug effectiveness and safety across diverse populations.
Source: ASHG ’21 presentation by Robert Plenge, R&D head at BMS now

Our Genomic Services

Mendelian Randomization (MR)

Establish causal relationships between genetic variants and traits, even with confounding factors.

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Colocalization Analysis

Identify shared genetic signals between different traits or diseases, uncovering pleiotropic effects and drug repurposing opportunities.

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Variant Effect Prediction

Predict the functional impact of genetic variants on protein structure and function, aiding in identifying potentially pathogenic variants and developing targeted therapies.

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Phenome-wide association Studies (PheWAS)

Explore the genetic associations of a single variant across multiple phenotypes, uncovering pleiotropic effects, identifying novel drug targets, and repurposing existing drugs.

GWAS Pipeline

Accelerate genomic analysis, target discovery, and drug discovery by efficiently interrogating WES datasets at biobank scale with a proven Genome-wide Association Studies (GWAS) pipeline platform

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Discover our offerings across the biopharma value chain

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