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Research laboratories face significant delays and high costs in processing terabytes of genomic data for single-nucleotide polymorphism (SNP) detection. Existing manual workflows struggle with processing 150GB datasets within 24-hour deadlines, while cloud infrastructure costs escalate with increasing data volumes.
Provider of life sciences research services including DNA sequencing, bioanalytical testing, and mass spectrometry for pharmaceutical and academic institutions
Implementation of this genomic analysis platform will reduce SNP detection processing time from weeks to hours while cutting infrastructure costs by 40-60%. The hybrid deployment model will enable seamless scaling to meet growing demand for genomic research services, supporting 23+ monthly processing cycles of 150GB datasets with guaranteed SLA compliance.