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Tag: genomics

Executive Conversations: The era of genomics in the cloud with Peter Goodhand, CEO, Global Alliance for Genomics & Health

Peter Goodhand, CEO of the Global Alliance for Genomics & Health (GA4GH), joins Lisa McFerrin, Worldwide Lead of Genomic Bioinformatics at AWS, to discuss how secure storage and responsible sharing of genomic data in the cloud can benefit human health. GA4GH is a nonprofit alliance dedicated to creating frameworks and standards that facilitate data sharing […]

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Example graph of protein data

Exploring the UniProt protein knowledgebase with AWS Open Data and Amazon Neptune

Example graph of protein data The Universal Protein Resource (UniProt) is a widely used resource of protein data that is now available through the Registry of Open Data on AWS. Its centerpiece is the UniProt Knowledgebase (UniProtKB), a central hub for the collection of functional information on proteins, with accurate, consistent and rich annotation. UniProtKB […]

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Variable correlation circle depicting correlation between top 25 features or variables of the fourth and fifth principal components

Training Machine Learning Models on Multimodal Health Data with Amazon SageMaker

This post was co-authored by Olivia Choudhury, PhD, Partner Solutions Architect; Michael Hsieh, Sr. AI/ML Specialist Solutions Architect; and Andy Schuetz, PhD, Sr. Startup Solutions Architect at AWS. This is the second blog post in a two-part series on Multimodal Machine Learning (Multimodal ML). In part one, we deployed pipelines for processing RNA sequence data, clinical […]

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Example visualization of a CT scan, with lung tumor mask overlaid in yellow

Building Scalable Machine Learning Pipelines for Multimodal Health Data on AWS

This post was co-authored by Olivia Choudhury, PhD, Partner Solutions Architect; Michael Hsieh, Senior AI/ML Specialist Solutions Architect; and Andy Schuetz, PhD, Sr. Partner Solutions Architect. Healthcare and life sciences organizations use machine learning (ML) to enable precision medicine, anticipate patient preferences, detect disease, improve care quality, and understand inequities. Rapid growth in health information […]

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Variant call files overview

Machine Learning Leukemia diagnosis at Munich Leukemia Lab with Amazon SageMaker

Munich Leukemia Lab (MLL) is a leading global institution for leukemia diagnostics and research, operating within a highly innovative environment. MLL aims to shape the future of hematological diagnostics and therapy through state-of-the-art molecular and computational methodologies. To this end, MLL partnered with the Amazon Machine Learning Solutions Lab (MLSL) and Mission Solutions Team (MST) […]

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Enabling the aggregation and analysis of The Cancer Genome Atlas using AWS Glue and Amazon Athena

The Cancer Genome Atlas (TCGA) is a landmark cancer genomics program, producing molecular data for nearly 20,000 primary tumors and matched normal tissues from 11,328 patients across 33 cancer types. The TCGA includes germline and somatic variants, copy number variants, mRNA expression, miRNA expression, DNA methylation, and protein expression for most patients. In addition to […]

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Standardizing quantification of expression data at Corteva Agriscience with Nextflow and AWS Batch

Authored by Anand Venkatraman, Bioinformatics Associate Research Scientist at Corteva Agriscience, and Srinivasarao Annapareddi, Cloud DevOps Engineer at Corteva Agriscience. The content and opinions in this post are those of the third-party author and AWS is not responsible for the content or accuracy of this post. — Data analysis in biological research today presents some […]

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NIH’s Sequence Read Archive, the world’s largest genome sequence repository: Openly accessible on AWS

AWS and the National Library of Medicine’s (NLM) National Center for Biotechnology Information (NCBI) are happy to announce that the Sequence Read Archive (SRA) – one of the world’s largest repositories of raw next generation sequencing data, will be freely accessible from Amazon S3 via the Open Data Sponsorship Program (ODP). The SRA is currently […]

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Executive Conversations: Building Resiliency with Bob Reiter, Head of R&D, Bayer Crop Science

Bob Reiter, Head of R&D of Bayer Crop Science, joins Elizabeth Fastiggi, Worldwide Lead of Agriculture Business at AWS for a discussion on recent disruptions in the global food supply chain, examples of farmers building resiliency through data and analytics, and future trends for sustainability. Crop Science, a division of Bayer, provides a range of […]

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Whitepaper: Genomics Data Transfer, Analytics, and Machine Learning using AWS Services

AWS Genomics has released a new whitepaper, Genomics Data Transfer, Analytics, and Machine Learning using AWS Services, that provides essential information and guidance on how to build a Next Generation Sequencing (NGS) platform using AWS services, from instrument to interpretation. Accompanying the new whitepaper are three solutions, developed based on feedback from AWS life science […]

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