Spend more time doing research and less time setting up sequencing software
Sequencing generates large volumes of data, and the analysis required can be intimidating. Fortunately, the analytical tools available today take most of the manual work out of the next-generation sequencing (NGS) data analysis process, making it easier for you to glean meaningful information quickly.
User-friendly Illumina tools smooth the process of analyzing sequencing data, so you can spend more time doing research and less time configuring workflows. Our NGS software packages perform analysis after the on-instrument data processing is complete and offer optimal time to answer.
The NGS data analysis process includes three main steps: primary, secondary, and tertiary data analysis. Some steps are performed automatically on the sequencing instrument, while other steps occur after sequencing is completed.
Real-Time Analysis (RTA) software operates during cycles of sequencing chemistry and imaging, providing base calls and associated quality scores representing the primary structure of DNA or RNA strands. This built-in software performs primary data analysis on Illumina sequencing systems automatically.
Illumina Connected Analytics is an automated, scalable, and versatile muti-omics data science tool that enables population-wide study.
Alignment and assembly of DNA or RNA fragments provides the full sequence for a sample, from which genetic variants can be determined.
We offer intuitive bioinformatics tools to simplify DNA sequence alignment, variant calling, and data visualization, and provide ultra-rapid secondary analysis.
RNA Sequencing Data AnalysisOur user-friendly software tools simplify NGS data analysis for a broad range of RNA sequencing experiments, from gene fusion detection to total RNA expression profiling.
From sequence data, you can use biological data mining and interpretation tools to convert data into knowledge.
Interpreting genetic variation leads to knowledge and insights into basic biology, and the causes of diseases and how to treat or prevent them.
Take the guesswork out of your next workflow. The NGS Workflow Finder provides personalized solution recommendations and resources so you can sequence with confidence.
Find your NGS workflow todayPhosphorus uses the DRAGEN Bio-IT Platform to perform genomics data analysis onsite and at an accessible price point.
An Oxford scientist discusses her decision to move NGS data analysis to the cloud and the benefits it has given her lab, including increased productivity and cost-effectiveness.
The resource enables hypothesis validation around important pathways, biomarkers, and potential drug candidate leads, to help address the COVID-19 crisis.
Perform fast, robust secondary analysis of NGS data. Analyze sequencing data from whole genomes, whole exomes, germline and somatic datasets, RNA sequencing experiments, and more.
This genomics cloud computing platform offers data management and simplified bioinformatics for labs getting started and for rapidly scaling up NGS operations.
Accelerate NGS-based SARS-CoV-2 detection and identification, perform host response studies, simplify your sample tracking, and contribute to public databases, free of charge.
Securely store, process, and share large quantities of NGS and other genomic data in the cloud with built-in speed and scalability.
Explore sample data generated on Illumina sequencing systems. These examples help you understand sequencing data and analysis reports.
DNA Sequencing Data ExamplesSequencing data can be represented with a variety of file formats, many of which are interchangeable, and your informatics system needs to be able to handle the formats you’ll use.
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Access resources and support for Illumina software, including sequencing data analysis and other software tools.
These free online courses cover common topics in library prep, sequencing, and data analysis.
Learn more about the accurate, ultra-rapid secondary analysis platform and accompanying pipelines.
Securely store, process, and share large quantities of NGS and other genomic data in the cloud with built-in speed and scalability.