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	<title>Life Sciences &#8211; Noise</title>
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	<link>https://noise.getoto.net</link>
	<description>The collective thoughts of the interwebz</description>
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		<title>A scalable, elastic database and search solution for 1B+ vectors built on LanceDB and Amazon S3</title>
		<link>https://noise.getoto.net/2025/09/22/a-scalable-elastic-database-and-search-solution-for-1b-vectors-built-on-lancedb-and-amazon-s3/</link>
		
		<dc:creator><![CDATA[Audra Devoto]]></dc:creator>
		<pubDate>Mon, 22 Sep 2025 17:15:44 +0000</pubDate>
				<category><![CDATA[Advanced (300)]]></category>
		<category><![CDATA[Amazon Simple Storage Service (S3)]]></category>
		<category><![CDATA[AWS Batch]]></category>
		<category><![CDATA[AWS Lambda]]></category>
		<category><![CDATA[AWS Step Functions]]></category>
		<category><![CDATA[Customer Solutions]]></category>
		<category><![CDATA[Innovation and Reinvention]]></category>
		<category><![CDATA[Life Sciences]]></category>
		<category><![CDATA[serverless]]></category>
		<category><![CDATA[startup]]></category>
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					<description><![CDATA[In this post, we explore how Metagenomi built a scalable database and search solution for over 1 billion protein vectors using LanceDB and Amazon S3. The solution enables rapid enzyme discovery by transforming proteins into vector embeddings and implementing a serverless architecture that combines AWS Lambda, AWS Step Functions, and Amazon S3 for efficient nearest neighbor searches.]]></description>
		
		
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		<title>Integrate scientific data management and analytics with the next generation of Amazon SageMaker, Part 1</title>
		<link>https://noise.getoto.net/2025/08/05/integrate-scientific-data-management-and-analytics-with-the-next-generation-of-amazon-sagemaker-part-1/</link>
		
		<dc:creator><![CDATA[Nadeem Bulsara]]></dc:creator>
		<pubDate>Tue, 05 Aug 2025 16:19:12 +0000</pubDate>
				<category><![CDATA[Amazon Sagemaker]]></category>
		<category><![CDATA[Amazon SageMaker Unified Studio]]></category>
		<category><![CDATA[announcements]]></category>
		<category><![CDATA[Healthcare]]></category>
		<category><![CDATA[Life Sciences]]></category>
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					<description><![CDATA[In this blog post, AWS introduces a solution to a common challenge in scientific research - the inefficient management of fragmented scientific data. The post demonstrates how the next generation of Amazon SageMaker, through its Unified Studio and Catalog features, helps scientists streamline their workflow by integrating data management and analytics capabilities.]]></description>
		
		
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		<item>
		<title>Protein similarity search using ProtT5-XL-UniRef50 and Amazon OpenSearch Service</title>
		<link>https://noise.getoto.net/2024/07/11/protein-similarity-search-using-prott5-xl-uniref50-and-amazon-opensearch-service/</link>
		
		<dc:creator><![CDATA[Camillo Anania]]></dc:creator>
		<pubDate>Thu, 11 Jul 2024 15:48:00 +0000</pubDate>
				<category><![CDATA[Amazon OpenSearch Service]]></category>
		<category><![CDATA[Amazon Sagemaker]]></category>
		<category><![CDATA[Customer Solutions]]></category>
		<category><![CDATA[generative AI]]></category>
		<category><![CDATA[Intermediate (200)]]></category>
		<category><![CDATA[Life Sciences]]></category>
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					<description><![CDATA[A protein is a sequence of amino acids that, when chained together, creates a 3D structure. This 3D structure allows the protein to bind to other structures within the body and initiate changes. This binding is core to the working of many drugs. A common workflow within drug discovery is searching for similar proteins, because […]]]></description>
		
		
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		<title>Genomics workflows, Part 7: analyze public RNA sequencing data using AWS HealthOmics</title>
		<link>https://noise.getoto.net/2024/06/05/genomics-workflows-part-7-analyze-public-rna-sequencing-data-using-aws-healthomics/</link>
		
		<dc:creator><![CDATA[Rostislav Markov]]></dc:creator>
		<pubDate>Wed, 05 Jun 2024 15:46:19 +0000</pubDate>
				<category><![CDATA[AWS HealthOmics]]></category>
		<category><![CDATA[genomics]]></category>
		<category><![CDATA[Life Sciences]]></category>
		<category><![CDATA[Technical How-to]]></category>
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					<description><![CDATA[Genomics workflows process petabyte-scale datasets on large pools of compute resources. In this blog post, we discuss how life science organizations can use Amazon Web Services (AWS) to run transcriptomic sequencing data analysis using public datasets. This allows users to quickly test research hypotheses against larger datasets in support of clinical diagnostics. We use AWS […]]]></description>
		
		
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		<title>Genomics workflows, Part 6: cost prediction</title>
		<link>https://noise.getoto.net/2024/04/24/genomics-workflows-part-6-cost-prediction/</link>
		
		<dc:creator><![CDATA[Rostislav Markov]]></dc:creator>
		<pubDate>Wed, 24 Apr 2024 16:43:35 +0000</pubDate>
				<category><![CDATA[Amazon Sagemaker]]></category>
		<category><![CDATA[genomics]]></category>
		<category><![CDATA[Industries]]></category>
		<category><![CDATA[Life Sciences]]></category>
		<category><![CDATA[Technical How-to]]></category>
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					<description><![CDATA[Genomics workflows run on large pools of compute resources and take petabyte-scale datasets as inputs. Workflow runs can cost as much as hundreds of thousands of US dollars. Given this large scale, scientists want to estimate the projected cost of their genomics workflow runs before deciding to launch them. In Part 6 of this series, […]]]></description>
		
		
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		<title>Introducing Amazon Omics – A Purpose-Built Service to Store, Query, and Analyze Genomic and Biological Data at Scale</title>
		<link>https://noise.getoto.net/2022/11/29/introducing-amazon-omics-a-purpose-built-service-to-store-query-and-analyze-genomic-and-biological-data-at-scale/</link>
		
		<dc:creator><![CDATA[Channy Yun]]></dc:creator>
		<pubDate>Tue, 29 Nov 2022 18:32:29 +0000</pubDate>
				<category><![CDATA[announcements]]></category>
		<category><![CDATA[AWS re:Invent]]></category>
		<category><![CDATA[Healthcare]]></category>
		<category><![CDATA[Industries]]></category>
		<category><![CDATA[launch]]></category>
		<category><![CDATA[Life Sciences]]></category>
		<category><![CDATA[news]]></category>
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					<description><![CDATA[You might learn in high school biology class that the human genome is composed of over three billion letters of code using adenine (A), guanine (G), cytosine (C), and thymine (T) paired in the deoxyribonucleic acid (DNA). The human genome acts as the biological blueprint of every human cell. And that’s only the foundation for […]]]></description>
		
		
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		<title>AWS Week in Review – June 27, 2022</title>
		<link>https://noise.getoto.net/2022/06/28/aws-week-in-review-june-27-2022/</link>
		
		<dc:creator><![CDATA[Danilo Poccia]]></dc:creator>
		<pubDate>Mon, 27 Jun 2022 21:31:42 +0000</pubDate>
				<category><![CDATA[Amazon CodeWhisperer]]></category>
		<category><![CDATA[Amazon Connect]]></category>
		<category><![CDATA[Amazon DevOps Guru]]></category>
		<category><![CDATA[Amazon DynamoDB]]></category>
		<category><![CDATA[Amazon RDS]]></category>
		<category><![CDATA[Amazon RDS Custom]]></category>
		<category><![CDATA[Amazon SageMaker Ground Truth]]></category>
		<category><![CDATA[AWS Center for Quantum Computing]]></category>
		<category><![CDATA[AWS Site-to-Site VPN]]></category>
		<category><![CDATA[AWS WAF]]></category>
		<category><![CDATA[Events]]></category>
		<category><![CDATA[Life Sciences]]></category>
		<category><![CDATA[news]]></category>
		<category><![CDATA[open source]]></category>
		<category><![CDATA[RDS for Oracle]]></category>
		<category><![CDATA[RDS for PostgreSQL]]></category>
		<category><![CDATA[Sustainability]]></category>
		<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[Week in Review]]></category>
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					<description><![CDATA[This post is part of our Week in Review series. Check back each week for a quick roundup of interesting news and announcements from AWS! It’s the beginning of a new week, and I’d like to start with a recap of the most significant AWS news from the previous 7 days. Last week was special […]]]></description>
		
		
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		<item>
		<title>Queue Integration with Third-party Services on AWS</title>
		<link>https://noise.getoto.net/2021/08/23/queue-integration-with-third-party-services-on-aws/</link>
		
		<dc:creator><![CDATA[Rostislav Markov]]></dc:creator>
		<pubDate>Mon, 23 Aug 2021 17:12:26 +0000</pubDate>
				<category><![CDATA[Advanced (300)]]></category>
		<category><![CDATA[Amazon Elastic Container Service]]></category>
		<category><![CDATA[Amazon Simple Queue Service (SQS)]]></category>
		<category><![CDATA[Architecture]]></category>
		<category><![CDATA[AWS Lambda]]></category>
		<category><![CDATA[Healthcare]]></category>
		<category><![CDATA[Life Sciences]]></category>
		<category><![CDATA[Parallel processing]]></category>
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					<description><![CDATA[Commercial off-the-shelf software and third-party services can present an integration challenge in event-driven workflows when they do not natively support AWS APIs. This is even more impactful when a workflow is subject to unpredicted usage spikes, and you want to increase decoupling and fault tolerance. Given the third-party nature of services, polling an Amazon Simple […]]]></description>
		
		
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		<item>
		<title>Architecture Monthly Magazine: Genomics</title>
		<link>https://noise.getoto.net/2021/07/13/architecture-monthly-magazine-genomics/</link>
		
		<dc:creator><![CDATA[Jane Scolieri]]></dc:creator>
		<pubDate>Tue, 13 Jul 2021 17:30:54 +0000</pubDate>
				<category><![CDATA[Architecture]]></category>
		<category><![CDATA[genomics]]></category>
		<category><![CDATA[Healthcare]]></category>
		<category><![CDATA[Life Sciences]]></category>
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					<description><![CDATA[The field of genomics has made huge strides in the last 20 years. Genomics organizations and researchers are rising to the many challenges we face today, and seeking improved methods for future needs. Amazon Web Services (AWS) provides an array of services that can help the genomics industry with securely handling and interpreting genomics data, […]]]></description>
		
		
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		<item>
		<title>Using AppStream 2.0 to Deliver PACS and Image Analysis in Clinical Trials</title>
		<link>https://noise.getoto.net/2021/06/18/using-appstream-2-0-to-deliver-pacs-and-image-analysis-in-clinical-trials/</link>
		
		<dc:creator><![CDATA[Chris Fuller]]></dc:creator>
		<pubDate>Thu, 17 Jun 2021 23:11:00 +0000</pubDate>
				<category><![CDATA[Amazon AppStream 2.0]]></category>
		<category><![CDATA[Amazon Rekognition]]></category>
		<category><![CDATA[Architecture]]></category>
		<category><![CDATA[AWS Glue]]></category>
		<category><![CDATA[Healthcare]]></category>
		<category><![CDATA[Life Sciences]]></category>
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					<description><![CDATA[Hospitals and clinical trial sites manage sensitive patient data. They are often required to grant remote access to custom Windows-based applications for patient record review and medical image analysis. This typically requires providing physicians and staff with remote access to on-premises workstations over VPN, with some flavor of remote desktop software. This can be both […]]]></description>
		
		
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		<item>
		<title>Field Notes: Accelerate Research with Managed Jupyter on Amazon SageMaker</title>
		<link>https://noise.getoto.net/2021/03/02/field-notes-accelerate-research-with-managed-jupyter-on-amazon-sagemaker/</link>
		
		<dc:creator><![CDATA[Mrudhula Balasubramanyan]]></dc:creator>
		<pubDate>Tue, 02 Mar 2021 15:08:06 +0000</pubDate>
				<category><![CDATA[Amazon Sagemaker]]></category>
		<category><![CDATA[Architecture]]></category>
		<category><![CDATA[Containers]]></category>
		<category><![CDATA[Field Notes]]></category>
		<category><![CDATA[Life Sciences]]></category>
		<category><![CDATA[Technical How-to]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=fe81c8a23f301843801f96d21f80ff43</guid>

					<description><![CDATA[Research organizations across industry verticals have unique needs. These include facilitating stakeholder collaboration, setting up compute environments for experimentation, handling large datasets, and more. In essence, researchers want the freedom to focus on their research, without the undifferentiated heavy-lifting of managing their environments. In this blog, I show you how to set up a managed […]]]></description>
		
		
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