Marc Hansen

No one else analyzes mass spec data at the scale of Magellan Bioanalytics. In a world where only a few thousand features per sample is considered big data, Magellan works at a data scale that considers millions of data points in a single sample. Magellan's tools are designed for feature-first omics, allowing consideration of the entire sample content, no matter how complex. Analysis is unbiased, considering known and unknown molecules even in the absence of prior documentation. Huge datasets are rapidly extracted to catalog data with biological connections. Then, relationships between these individual high-information data points are defined, revealing new biological insights. Information overload in mass spec-abased research is over. Magellan's computational tools match the data output of cutting edge mass spectrometry instruments. New experimental approaches are now possible, much larger experiments with more samples can be considered, and more challenging questions can be solved. Spend more time formulating hypotheses and conducting experiments, with less time crunching through data files.