{"id":7212,"date":"2023-12-06T09:39:23","date_gmt":"2023-12-06T14:39:23","guid":{"rendered":"https:\/\/ptp.cloud\/?p=7212"},"modified":"2025-07-22T01:32:14","modified_gmt":"2025-07-22T05:32:14","slug":"life-sciences-data-visualization","status":"publish","type":"post","link":"https:\/\/ptp.cloud\/life-sciences-data-visualization\/","title":{"rendered":"Navigating the Challenges of Data Visualization in Life Sciences: Key Insights"},"content":{"rendered":"[et_pb_section fb_built=&#8221;1&#8243; admin_label=&#8221;section&#8221; _builder_version=&#8221;4.16&#8243; da_disable_devices=&#8221;off|off|off&#8221; global_colors_info=&#8221;{}&#8221; da_is_popup=&#8221;off&#8221; da_exit_intent=&#8221;off&#8221; da_has_close=&#8221;on&#8221; da_alt_close=&#8221;off&#8221; da_dark_close=&#8221;off&#8221; da_not_modal=&#8221;on&#8221; da_is_singular=&#8221;off&#8221; da_with_loader=&#8221;off&#8221; da_has_shadow=&#8221;on&#8221;][et_pb_row _builder_version=&#8221;4.25.0&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;4_4&#8243; _builder_version=&#8221;4.25.0&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_code _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; hover_enabled=&#8221;0&#8243; global_colors_info=&#8221;{}&#8221; sticky_enabled=&#8221;0&#8243;]\n<article><!-- [et_pb_line_break_holder] -->  <pee><!-- [et_pb_line_break_holder] -->    Visualizing complex biological data is foundational to modern research and an essential part of <a href=\"https:\/\/ptp.cloud\/services\/\" title=\"managed IT services for life sciences\">managed IT services for life sciences<\/a>. Before we dive into common challenges, here\u2019s a quick overview from Scott Scheirey on how life sciences teams can streamline their workflows using AWS-based solutions.<!-- [et_pb_line_break_holder] -->  <\/pee><!-- [et_pb_line_break_holder] --><!-- [et_pb_line_break_holder] -->  <pee><!-- [et_pb_line_break_holder] -->    Data visualization is crucial in life sciences, where scientists rely on visual representations of data to make informed decisions. However, many organizations lack the IT infrastructure to properly support these visualizations. In this blog post by <a href=\"https:\/\/www.linkedin.com\/in\/scottscheirey\/\" target=\"_blank\" rel=\"noopener noreferrer\">Scott Scheirey, Scientific Partner Advisor of PTP<\/a>, we&#8217;ll explore common issues and how to overcome them using AWS tools and <a href=\"https:\/\/ptp.cloud\/services\/cloudops\/cloud-engineering\/\" title=\"scientific computing IT support\">scientific computing IT support<\/a> designed specifically for research and bioinformatics workloads.<!-- [et_pb_line_break_holder] -->  <\/pee><!-- [et_pb_line_break_holder] --><!-- [et_pb_line_break_holder] -->  <\/p>\n<div style=\"position: relative; padding-bottom: 56.25%; height: 0; overflow: hidden;\"><!-- [et_pb_line_break_holder] -->    <iframe style=\"position: absolute; top: 0; left: 0; width: 100%; height: 100%; border: 0;\" src=\"https:\/\/www.youtube-nocookie.com\/embed\/4PLu8rv-uYQ?rel=0\" title=\"Life Sciences Data Visualization \u2013 PTP and AWS\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" allowfullscreen loading=\"lazy\" referrerpolicy=\"strict-origin-when-cross-origin\"><\/iframe><!-- [et_pb_line_break_holder] -->  <\/div>\n<p><!-- [et_pb_line_break_holder] --><!-- [et_pb_line_break_holder] -->  <\/p>\n<div style=\"text-align: center; margin: 1.5em 0;\"><!-- [et_pb_line_break_holder] -->    <a href=\"https:\/\/www.youtube.com\/watch?v=4PLu8rv-uYQ\" target=\"_blank\" rel=\"noopener noreferrer\" title=\"Watch the full video on YouTube\" style=\"text-decoration: none;\"><!-- [et_pb_line_break_holder] -->      <strong>Watch the full video on YouTube<\/strong><!-- [et_pb_line_break_holder] -->      <img src=\"https:\/\/ptp.cloud\/wp-content\/uploads\/2024\/09\/Youtube-icon-300x300.png\" alt=\"Watch life sciences data visualization with AWS \u2013 PTP video session\" width=\"26\" height=\"26\" loading=\"lazy\" decoding=\"async\" style=\"vertical-align: middle; margin-left: 8px;\" \/><!-- [et_pb_line_break_holder] -->    <\/a><!-- [et_pb_line_break_holder] --><!\u2013- [et_pb_br_holder] -\u2013><!-- [et_pb_line_break_holder] -->  <\/div>\n<p><!-- [et_pb_line_break_holder] --><!-- [et_pb_line_break_holder] -->  <\/p>\n<h2><!-- [et_pb_line_break_holder] -->    <a href=\"https:\/\/aws.amazon.com\/marketplace\/pp\/prodview-it7fjq6rqix74?sr=0-13&#038;ref_=beagle&#038;applicationId=AWSMPContessa\" target=\"_blank\" rel=\"noopener noreferrer\"><!-- [et_pb_line_break_holder] -->      <img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/ptp.cloud\/wp-content\/uploads\/2020\/07\/aws-seal-256x300.jpg\" alt=\"AWS Marketplace badge linking to CloudOps for Life Sciences Startups solution\" width=\"142\" height=\"166\" style=\"float: left; margin: 0 20px 10px 0;\" \/><!-- [et_pb_line_break_holder] -->    <\/a><!-- [et_pb_line_break_holder] -->    Overview<!-- [et_pb_line_break_holder] -->  <\/h2>\n<p><!-- [et_pb_line_break_holder] --><!-- [et_pb_line_break_holder] -->  <pee><!-- [et_pb_line_break_holder] -->    Visualizations like volcano plots, violin plots, and spatial maps are essential tools for computational biologists and data scientists. These help make sense of raw datasets from genomics, proteomics, and imaging workflows. To support these needs, organizations often require <a href=\"https:\/\/ptp.cloud\/services\/userops\/\" title=\"IT services for biotech labs\">IT services for biotech labs<\/a> and robust cloud infrastructure designed for high-performance analytics.<!-- [et_pb_line_break_holder] -->  <\/pee><!-- [et_pb_line_break_holder] --><!-- [et_pb_line_break_holder] -->  <pee><!-- [et_pb_line_break_holder] -->    In a recent discussion with a client, Scott identified a recurring pain point: it\u2019s often not the visualizations themselves that are problematic, but the backend infrastructure. Supporting pipelines require open-source tools, cloud-native platforms, and reliable IT services for CROs and regulated research environments.<!-- [et_pb_line_break_holder] -->  <\/pee><!-- [et_pb_line_break_holder] --><!-- [et_pb_line_break_holder] -->  <\/p>\n<h2>Challenges with Data Retrieval and Transfer<\/h2>\n<p><!-- [et_pb_line_break_holder] --><!-- [et_pb_line_break_holder] -->  <pee><!-- [et_pb_line_break_holder] -->    Retrieving and transferring data from storage platforms like <a href=\"https:\/\/aws.amazon.com\/s3\/\" target=\"_blank\" rel=\"noopener noreferrer\">AWS S3<\/a> and <a href=\"https:\/\/aws.amazon.com\/s3\/glacier\/\" target=\"_blank\" rel=\"noopener noreferrer\">Amazon Glacier<\/a> can present delays and complications. Life sciences teams frequently use ELNs such as <a href=\"https:\/\/www.benchling.com\/\" target=\"_blank\" rel=\"noopener noreferrer\">Benchling<\/a> for data entry, but when analysis tools are disconnected from core infrastructure, it creates bottlenecks. That\u2019s where <a href=\"https:\/\/ptp.cloud\/services\/cloudops\/\" title=\"managed cloud services for life sciences\">managed cloud services for life sciences<\/a> come into play, ensuring smooth, automated data flow.<!-- [et_pb_line_break_holder] -->  <\/pee><!-- [et_pb_line_break_holder] --><!-- [et_pb_line_break_holder] -->  <pee><!-- [et_pb_line_break_holder] -->    PTP helps clients build data strategies that align storage platforms, visualization tools, and lab systems\u2014minimizing inefficiencies and improving compliance.<!-- [et_pb_line_break_holder] -->  <\/pee><!-- [et_pb_line_break_holder] --><!-- [et_pb_line_break_holder] -->  <\/p>\n<h2>Choosing the Right Visualization Tools<\/h2>\n<p><!-- [et_pb_line_break_holder] --><!-- [et_pb_line_break_holder] -->  <pee><!-- [et_pb_line_break_holder] -->    Tools like <a href=\"https:\/\/aws.amazon.com\/quicksight\/\" target=\"_blank\" rel=\"noopener noreferrer\">Amazon QuickSight<\/a>, <a href=\"https:\/\/www.tibco.com\/products\/tibco-spotfire\" target=\"_blank\" rel=\"noopener noreferrer\">Spotfire<\/a>, and <a href=\"https:\/\/www.tableau.com\/\" target=\"_blank\" rel=\"noopener noreferrer\">Tableau<\/a> are widely used in biotech. Each serves a different use case, from rapid dashboards to in-depth visualizations. Selecting the right tool is key\u2014and it\u2019s where <a href=\"https:\/\/ptp.cloud\/services\/netops\/managed-networks\/\" title=\"biotech IT support\">biotech IT support<\/a> from providers familiar with research workflows is essential.<!-- [et_pb_line_break_holder] -->  <\/pee><!-- [et_pb_line_break_holder] --><!-- [et_pb_line_break_holder] -->  <pee><!-- [et_pb_line_break_holder] -->    PTP\u2019s approach integrates <a href=\"https:\/\/ptp.cloud\/services\/finops\/cloud-optimization-and-management\/\" title=\"IT consulting for life sciences\">IT consulting for life sciences<\/a> with long-term scalability in mind, ensuring that your workflows can grow alongside your data and research demands.<!-- [et_pb_line_break_holder] -->  <\/pee><!-- [et_pb_line_break_holder] --><!-- [et_pb_line_break_holder] -->  <\/p>\n<h2>Overcoming the Challenges: Key Takeaways<\/h2>\n<p><!-- [et_pb_line_break_holder] --><!-- [et_pb_line_break_holder] -->  <pee><strong>1. Evaluate Your Infrastructure<\/strong>: Ensure your <a href=\"https:\/\/ptp.cloud\/services\/secops\/it-infrastructure-security\/\" title=\"IT infrastructure for life sciences companies\">IT infrastructure for life sciences companies<\/a> is reliable, scalable, and optimized for bioinformatics workloads.<\/pee><!-- [et_pb_line_break_holder] --><!-- [et_pb_line_break_holder] -->  <pee><strong>2. Streamline Data Transfer<\/strong>: Partner with a <a href=\"https:\/\/ptp.cloud\/services\/cloudops\/cloud-migration\/\" title=\"managed IT provider for biotech companies\">managed IT provider for biotech companies<\/a> that can align your ELN, storage, and analysis tools.<\/pee><!-- [et_pb_line_break_holder] --><!-- [et_pb_line_break_holder] -->  <pee><strong>3. Choose the Right Tools<\/strong>: Select platforms that meet current needs and integrate with the broader IT environment. PTP provides <a href=\"https:\/\/ptp.cloud\/services\/secops\/security-risk-assessment\/\" title=\"MSP services for lab compliance\">MSP services for lab compliance<\/a> and visualization scaling.<\/pee><!-- [et_pb_line_break_holder] --><!-- [et_pb_line_break_holder] -->  <pee><strong>4. Plan for the Future<\/strong>: Use flexible platforms and workflows that can evolve. Whether you\u2019re a startup or established firm, <a href=\"https:\/\/ptp.cloud\/services\/userops\/\" title=\"outsourced IT services for life sciences\">outsourced IT services for life sciences<\/a> help support long-term innovation.<\/pee><!-- [et_pb_line_break_holder] --><!-- [et_pb_line_break_holder] -->  <pee><!-- [et_pb_line_break_holder] -->    If you&#8217;re interested in learning more about data visualization in life sciences and how to streamline your workflows, check out <a href=\"https:\/\/aws.amazon.com\/marketplace\/seller-profile?id=40aef862-90e2-4a5f-9d98-2ef74b6cbf15\" target=\"_blank\" rel=\"noopener noreferrer\">PTP on the AWS Marketplace<\/a> and their <a href=\"https:\/\/aws.amazon.com\/marketplace\/pp\/prodview-it7fjq6rqix74?sr=0-13&#038;ref_=beagle&#038;applicationId=AWSMPContessa\" target=\"_blank\" rel=\"noopener noreferrer\">Cloud Ops for Life Science Startups<\/a>. With the right approach and support from scientific computing IT support experts, you can overcome these challenges and focus on advancing research.<!-- [et_pb_line_break_holder] -->  <\/pee><!-- [et_pb_line_break_holder] --><\/article>\n<p><!-- [et_pb_line_break_holder] --><\/p>\n<section style=\"background-color: #f4f4f4; padding: 2em; border-radius: 8px; margin-top: 2em;\"><!-- [et_pb_line_break_holder] -->  <\/p>\n<h3>\ud83d\udd0e Transcript Highlights<\/h3>\n<p><!-- [et_pb_line_break_holder] -->  <pee><strong>0:09<\/strong> \u2013 Scott introduces himself and the topic: visualization issues are often infrastructure problems<\/pee><!-- [et_pb_line_break_holder] -->  <pee><strong>0:20<\/strong> \u2013 Real-world client challenge using 10x Genomics for visualization<\/pee><!-- [et_pb_line_break_holder] -->  <pee><strong>0:44<\/strong> \u2013 Most issues come from surrounding platforms, not the visualization itself<\/pee><!-- [et_pb_line_break_holder] -->  <pee><strong>1:08<\/strong> \u2013 Importance of understanding AWS S3 storage classes<\/pee><!-- [et_pb_line_break_holder] -->  <pee><strong>1:27<\/strong> \u2013 Complexity of transferring data from ELNs like Benchling to analysis platforms<\/pee><!-- [et_pb_line_break_holder] -->  <pee><strong>2:16<\/strong> \u2013 Selecting and integrating tools strategically rather than removing all data from third-party platforms<\/pee><!-- [et_pb_line_break_holder] -->  <pee><strong>2:28<\/strong> \u2013 Different tools serve different purposes: QuickSight vs Spotfire vs Tableau<\/pee><!-- [et_pb_line_break_holder] -->  <pee><strong>2:40<\/strong> \u2013 Importance of future-proofing infrastructure and workflows from day one<\/pee><!-- [et_pb_line_break_holder] --><\/section>\n<p><!-- [et_pb_line_break_holder] --><!-- [et_pb_line_break_holder] --><script type=\"application\/ld+json\"><!-- [et_pb_line_break_holder] -->{<!-- [et_pb_line_break_holder] -->  \"@context\": \"https:\/\/schema.org\",<!-- [et_pb_line_break_holder] -->  \"@type\": \"VideoObject\",<!-- [et_pb_line_break_holder] -->  \"name\": \"Life Sciences Data Visualization \u2013 PTP and AWS\",<!-- [et_pb_line_break_holder] -->  \"description\": \"Scott Scheirey explains key challenges and solutions for data visualization in life sciences, including infrastructure, data transfer, and tool selection. 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He discusses the use of 10x Genomics platforms, the importance of data transfer flexibility in AWS S3 and Glacier, and integration complexity with ELNs like Benchling. Scott highlights the importance of deciding what tools to integrate with versus what to internalize, and recommends Amazon QuickSight, Spotfire, and Tableau for different visualization needs. He advises companies to future-proof their data environments from day one, especially biotech startups that need scalable, interoperable infrastructure for scientific computing workflows.\"<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] --><\/script><!-- [et_pb_line_break_holder] -->[\/et_pb_code][\/et_pb_column][\/et_pb_row][\/et_pb_section]\n<span class=\"et_bloom_bottom_trigger\"><\/span>","protected":false},"excerpt":{"rendered":"<p>Learn how PTP helps life sciences teams overcome data visualization challenges with AWS tools and scientific IT support\u2014improving infrastructure, streamlining workflows, and accelerating insights across research environments.<\/p>\n","protected":false},"author":2,"featured_media":7213,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"Life Sciences companies have a problem with data visualization. \u00a0Fortunately, there are answers. \u00a0In this video by Scott Scheirey, Scientific Partner Advisor of PTP, he discusses the challenges and considerations along with solutions from Amazon Web Services (AWS).\r\n\r\n[embed]https:\/\/youtu.be\/4PLu8rv-uYQ[\/embed]\r\n\r\n\u00a0\r\n\r\n\u00a0\r\n\r\n\u00a0","_et_gb_content_width":"","content-type":"","_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[23,12,9,83],"tags":[],"table_tags":[],"class_list":["post-7212","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-aws-archive","category-aws-for-life-sciences-archive","category-cloudops-archive","category-learning-videos-archive"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.1.1 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Navigating the Challenges of Data Visualization in Life Sciences<\/title>\n<meta name=\"description\" content=\"Data visualizations are critical to bioinformaticians and computational biologists, as the data itself may not be human readable.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/ptp.cloud\/life-sciences-data-visualization\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Navigating the Challenges of Data Visualization in Life Sciences\" \/>\n<meta property=\"og:description\" content=\"Data visualizations are critical to bioinformaticians and computational biologists, as the data itself may not be human readable.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/ptp.cloud\/life-sciences-data-visualization\/\" \/>\n<meta property=\"og:site_name\" content=\"PTP | Cloud Experts | Biotech Enablers\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/PTPCloud\" \/>\n<meta property=\"article:published_time\" content=\"2023-12-06T14:39:23+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2025-07-22T05:32:14+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/ptp.cloud\/wp-content\/uploads\/2023\/12\/Scott-Data-Visualization.png\" \/>\n\t<meta property=\"og:image:width\" content=\"1920\" \/>\n\t<meta property=\"og:image:height\" content=\"1081\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"author\" content=\"Gary Derheim\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@PTPCloud\" \/>\n<meta name=\"twitter:site\" content=\"@PTPCloud\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Gary Derheim\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"7 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/ptp.cloud\/life-sciences-data-visualization\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/ptp.cloud\/life-sciences-data-visualization\/\"},\"author\":{\"name\":\"Gary Derheim\",\"@id\":\"https:\/\/ptp.cloud\/#\/schema\/person\/9164cae6fb27fb76f79e048d8dd2d8ab\"},\"headline\":\"Navigating the Challenges of Data Visualization in Life Sciences: Key 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