All things considered.
No one else analyzes proteomic data at the scale of Magellan Bioanalytics. In the proteomics world, analyzing a few thousand data points is considered big data; however, Magellan is changing the rules by analyzing millions of data points per sample.
Magellan's tools consider the entire proteomic content, no matter how complex. Analysis is unbiased, taking into account both known and unknown molecules. Huge datasets are rapidly extracted to catalog data with biological connections. Then, relationships between these individual high-information data points are defined to generate specific, sensitive, and robust proteomic profiles.
Information overload in proteomics is over. Magellan's computational tools match the data output of cutting edge mass spectrometry instruments. New experimental approaches are now possible and more challenging questions can be solved.
Magellan pushes the limits of data scale:
Data points per sample
Benefits of Magellan's
Protein Wide Association Studies
Like modern genomics, where GWAS studies connect DNA to biology regardless of location, Magellan's tools connect biomolecules to biology without restricted or biased searching. We call it pan-agnostic proteomics.
Discovery of novel biology
Magellan's tools consider previously unknown molecules alongside well-characterized species. Discovery of unexpected and unknown biological connections becomes the norm.
Speed of discovery
At Magellan's data scale, fewer samples are required to catalog molecules with biological connections and achieve robust and reliable proteomic profiles. Fewer samples means reduced time and money required for discovery.
Highly stable proteomic signatures
Proteomic signatures discovered using Magellan's tools are based on large panels of markers. Since each marker has minimal individual importance, the profile is highly stable when used to assess new samples.
To receive a demonstration of Magellan's software, or to discuss potential research collaborations, please reach out via form or email