Accelerating Large-Scale Bioinformatics with AWS HealthOmics: A Case Study by Takeda Pharmaceuticals and Amazon Web Services

Accelerating Large-Scale Bioinformatics with AWS HealthOmics: A Case Study by Takeda Pharmaceuticals and Amazon Web Services

La bioinformática está experimentando una evolución significativa con la transición de entornos de computación de alto rendimiento locales a soluciones basadas en la nube. Takeda Pharmaceuticals, una organización biofarmacéutica líder, logró migrar exitosamente sus canales personalizados de Nextflow de clústeres locales a AWS HealthOmics en dos semanas. Esto resultó en una reducción drástica en el … Read more

Harness the Power of Genomic Data Analysis with AWS HealthOmics Analytics and Amazon EMR | Amazon Web Services

Harness the Power of Genomic Data Analysis with AWS HealthOmics Analytics and Amazon EMR | Amazon Web Services

The latest release of Amazon EMR now integrates with AWS HealthOmics, making it easier to analyze large-scale genomic variant data. HealthOmics Analytics provides tabular access to genetic variant data sets and annotations, allowing researchers and data scientists to uncover valuable insights through Amazon Athena queries and EMR jobs. EMR offers a flexible big data platform … Read more

Using AWS HealthOmics | Amazon Web Services to Analyze Public RNA Sequencing Data: Genomics Workflows Part 7

Using AWS HealthOmics | Amazon Web Services to Analyze Public RNA Sequencing Data: Genomics Workflows Part 7

The blog post discusses the utilization of Amazon Web Services (AWS) by life sciences organizations for analyzing transcriptomic sequencing data using public data sets. By employing AWS HealthOmics and Step Functions, the heavy lifting associated with processing large RNA-Seq data sets is eliminated. The blog outlines a case study where research teams process RNA-Seq data … Read more