New bioinformatics solution powers multi-omics discovery at massive scale

12 Jan 2021
Tom Casburn
Associate Editor

Product news

Illumina is transforming genomic data bottlenecks into catalysts with the launch of Illumina Connected Analytics (ICA). This new and integrated bioinformatics solution provides a comprehensive, private, cloud-based data platform that empowers customers to manage, analyze, and explore large volumes of multi-omic data in a secure, scalable, and flexible environment.

“Illumina Connected Analytics has appeared at a critical time for our research group—just as our analysis needs have started exceeding our existing capability,” noted Dan Spiegelman from Montreal Neurological Institute and Hospital in Canada. “The scalability of the joint genotyping tools has enabled us to perform analyses larger than any we have attempted before, in a surprisingly short timeframe. This platform not only meets our current needs but will allow us room to grow our analyses to petabase scale.”

Accessible through a web portal or through a rich set of APIs, ICA reduces the extra work and possible human-error associated with combining multiple datasets, through a direct sequencer-to-platform transfer of data onto the private Illumina cloud. With security and compliance at the core, the data is able to be seen, read, automatically processed, analyzed and shared securely. Optimized for high-throughput, ICA also supports the complex storage, aggregation, and querying of multi-omic sequencing and array data from around the world.

“In our mission to understand Leukemia and bring those benefits to patients, we need a solution that provides security, privacy, scalability, speed, and cost effectiveness for our workflows,” said Niroshan Nadarajah, Head of Bioinformatics, at the Munich Leukemia Laboratory in Munich, Germany. “Illumina Connected Analytics enables us to meet those goals by shifting our informatics to the cloud—positioning us for further collaboration and growth as we push the boundaries of advanced diagnostics.”

Harnessing the technology brought from the 2020 acquisition of BlueBee, ICA is advancing Illumina’s cloud portfolio by giving users the flexibility to run custom analyses and access industry leading options, including award-winning Illumina informatics solutions, such as the DRAGEN™ Bio-IT Platform. Designed for the unprecedented scale in the next decade of sequencing, ICA uniquely provides customers the ability to manage the vast amount of genomic data being generated on our installed base of more than 17,000 sequencing systems today and into the future.

“The launch of Illumina Connected Analytics honors our steadfast commitment to empowering customers with their data insights by delivering a secure data exchange private cloud designed for genomics,” said Susan Tousi, Chief Product Officer at Illumina. “Coupled with some of the best data science, machine learning, and tertiary analysis tools that will be provided on the platform, this software will enable our customers to truly explore their data, discover insights and unlock the power of the genome.”

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Genome AnalysisGenomics, the study of genomes, includes functional genomics, evolutionary genomics and comparative genomics. There are many genomic technologies such as DNA sequencing of whole genomes, computational biology and bioinformatics. DNA and nucleic acids must be isolated and concentrated from cells for analysis with kits, automated analyzers and software. Other useful technologies for studying genomics include PCR, microarrays and electrophoresis.ProteomicsProteomics is the systemic bioinformatics study of proteins and amino acids, including their structure, size, function and identification. Tools used in proteomics include chromatography, blotting and gels, protein arrays, mass spectrometry and ELISA and associated analysis software. Analyzers and proteomic systems should be sensitive, high resolution, fast and may be automated for high-throughput.Data AnalysisData analysis hardware and software is available to make data processing straight-forward yet powerful. Data software can be used for math and stats, technical graphing and image analysis. In addition, software is available for specific data analysis of electrophoresis, densitometry, ELISA and DNA sequencing.Chem / BioinformaticsCheminformatics and bioinformatics are computational techniques used in chemistry and biology, respectively, for data acquisition, processing and storage. Cheminformatics focuses on compound information, whereas bioinformatics is mainly applied to analysis and modeling of genomics, genetic and sequencing information. Hardware and software is available for data acquisition, analysis, management and storage.Data AnalysisThe analysis of data is the process of transforming, modeling and evaluating data to discover useful information from experimental results. GenomicsGenomics is the study of genomes, focusing on the sequencing, analysis, and interpretation of genetic material. It is key in understanding genetic diseases, evolutionary biology, and personalized medicine. Techniques like next-generation sequencing (NGS) are commonly used in genomics research. Browse our peer-reviewed product directory to find the best genomics tools, compare products, check reviews, and get pricing directly from manufacturers.Transcriptomics