Scientists and researchers need an arsenal of bioinformatics tools to manage the massive amounts of data the latest technologies create. Industry experts estimate that advanced sequencing and related studies generate approximately 2.5 exabytes of genomic data daily.1
While advances in sequencing promise to shed light on our understanding of human health and disease, the right bioinformatics tools and approach are imperative. Data must be interoperable, quality must be infallible, and systems must be scalable.
Illumina bioinformatics software tools can help manage, analyze, and interpret the data. They are designed to adapt to changing technologies and defy geographical and functional boundaries that slow progress.
The latest bioinformatics tools help scientists gain insights from a growing body of complex data. To assemble an effective bioinformatics solution, you will want to consider the complete bioinformatics ecosystem—from setup to specialized applications and analysis.
Gain greater insight into computational infrastructure requirements, automation, and building a framework that supports bioinformatics data sharing and collaboration among scientists with diverse backgrounds.
Explore approaches for wet lab management, experimental design, and sample tracking.
Understand your options for performing analysis after the on-instrument data processing is complete. Find out how software tools can help make sense of all the data.
Explore approaches for biological interpretation, such as variant interpretation or cohort analysis.
Gather additional information about the implications of microarray studies or evolving techniques, such as single-cell sequencing.