The petabyte (PB) and zettabyte (ZB) are required to process and analyze data in the life sciences and pharmaceutical industry. An enormous amount of NGS data is being produced, which requires effective data analysis and data storage. The pandemic has also spurred genome sequencing committees around the world, which are sequencing infectious diseases like never before. Thus, the need to keep sequencing this virus is constant. For example, in early 2023, the latest variant of XBB.1.5, which is a subvariant of Omicron, has become the most transmissible strain of the COVID-19 virus so far. There was the adoption of a bioinformatics platform by research laboratories during the pandemic, and the virus is still being sequenced even during the post-pandemic era. Leading market players in the NGS data storage market that offer NGS data analysis solutions are undertaking strategic partnerships and collaborations to refine their product portfolios and maintain a strong global NGS data storage market. Several non-commercial protocols and commercial kits were made available for amplicon SARS-CoV-2 preparation, some of which were adapted by NGS platforms. All NGS bioinformatics pipelines share several major features, including variant annotation sequence generation, variant identification, assembly and alignment, and variant visualization. The technological methods of NGS are in high adoption in commercial laboratory processes and use inevitable variations in the software and computational tools. NGS bioinformatic pipeline was in practice during the pandemic that is defined as a series of data algorithms that are run to generate interpretable data. NGS also played a crucial role in advancing the research focused on tracing the origin of COVID-19. The technology generates an enormous amount of raw data that needs substantial amounts of computational processing to yield desired results. NGS can be used to sequence the human genome and performed extensively in research laboratories during the COVID-19 pandemic. These services offer pay-as-you-go models, which make it easier for researchers to manage costs based on their data storage needs. Sequencing companies are adopting cloud-based storage solutions that offer several advantages, including accessibility, scalability, and cost-effectiveness.Ĭloud-based storage services are provided by various big IT vendors, such as Amazon Web Services, Google Cloud, and Microsoft Azure. NGS data is critical to researchers that offer storage solutions that are reliable while being easy to manage. Several companies have developed NGS informatics solutions to aid healthcare institutions and academic research centers. The growth in the NGS data storage market is expected to be driven by the rising adoption of next-generation sequencing (NGS) tool in research laboratories that generates a huge amount of data that is stored and analyzed for actionable insights. Plugins and modules add a layer of specialized tools and workflows to CLC Genomics Workbench, creating a comprehensive solution for microbial genomics and metagenomics data analysis.The global NGS data storage market is projected to reach $6.96 billion by 2033 from $1.13 billion in 2022, growing at a CAGR of 18.02% during the forecast period 2023-2033. QIAGEN CLC Genomics Workbench Premium expands upon CLC Genomics Workbench, the industry-standard platform for bioinformatics computing. Due to preconfigured workflows that streamline processing of raw NGS data, researchers can focus on the interpretation of results, for example in the context of other samples or metadata. Data and sample-metadata management is included. All analytics for microbial genomics and metagenomics come fully integrated into one scalable and enterprise-ready solution. QIAGEN CLC Genomics Workbench Premium provides integrated analytics that deliver research continuity. Yet a lack of well integrated analytics for microbial genomics leaves researchers and organisations with the burden of integrating and maintaining all the required bioinformatics, statistics and visualisation tools required to power their research. From data to discovery with QIAGEN CLC Genomics Workbench PremiumĮver-growing sample volumes demand efficient bioinformatics.
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