Bringing you closer to the
moment of discovery
Discover biological biomarkers, create insights into disease mechanisms, discover new drug targets or identify changes in protein levels from a set of carefully designed experiments.
Get started quickly and experiment continuously
We’ve made it easy to start unlocking the power of MS and Proteomics so you can focus on the biological complexity and move closer to the moment of discovery. Our automated and repeatable workflow allows for quicker experiment startup and turnaround times, giving you the control and flexibility to make and act on decisions in the moment.
A one-stop Proteomics workflow: to make sense of complex proteomics data
Allowing you to focus on biological insights and human-to-human collaboration, our proteomics data processing workflow is built to scale, repeatedly. We’ve pushed heavy and repetitive processing to the cloud, enabling a seamless and enjoyable experience. pInput raw files or pre-processed data - the choice is yours. We support Label-Free Quantitative (LFQ-DDA) and Tandem Mass Tag (TMT) methods.
Big is beautiful
Our intelligent Proteomics workflow seamlessly integrates complex moving parts to enable larger experiments to be processed and analysed with ease. Let us remove big data and other technical constraints, so you can focus on discovering and sharing insights.
Addressing the ‘missing value’ challenge
To give you the best chance of extracting optimum insights from your experiment, our workflow performs machine-learning smarts and an unbiased extraction of MS1 data for every detected feature in your MS files. This helps reduce missing values, maximises data completeness and provides a measure of feature confidence.
Be a #MassGeek anytime, anywhere
Want to do a quick piece of analysis while you’re commuting to the lab? Make the most of what would typically be idle time. Thanks to the cloud, you can process, analyse and showcase your data or insights in the comfort of your home, a local library or a buzzy cafe.
Take control of quality
Beautiful graphics representing key information that you care about including the overall health of your experiment, the quality of your feature and the completeness of your data.
Don’t go empty-handed to your next lab catchup
Drawing upon existing knowledge in context of your experiment, we assist you with uncovering, communicating and sharing insights. Using our analysis modules, you can build up your evidence over time across many experiments to support the communication of your biological story.
Start using Mass Dynamics
Popular analysis modules
Mass dynamics has been designed in a modular structure where dIfferent visualisations and analysis elements are contained in what we have termed ‘analysis modules’. To start get started simply select a module and drag it into the workspace. You can then drag as many other modules as you wish into the workspace, you can drag them to different positions, and also resize them.
A table listing groupings of Conditions and Filenames.
A plot to explore pairwise differential expression analysis.
A table listing selected proteins, associated genes and descriptions.
A table showing differences between conditions including associated genes and descriptions, log2 ratios, p-values and adjusted p-values.
A plot to show the probability density distribution of the intensities of selected proteins, by conditions.
A plot to show the distribution of the intensities of selected proteins, by conditions.
Reactome ORA Table
List of potentially over-represented pathways including estimated False Discovery Rate (FDR) and number of associated proteins.
Reactome ORA Strip
Scatter plot of potentially over-represented pathways ordered by -log10 estimated False Discovery Rate (FDR).
Reactome ORA Bar
Bar plot showing the top n potentially over-represented pathways ordered by -log10 estimated False Discovery Rate (FDR).
GSEA Volcano Plot
A plot to explore the results of the pairwise Gene Set Enrichment Analysis (GSEA) with the CAMERA method, including the average fold change of the proteins in the set and the associated statistical confidence metrics.
GSEA List Table
A table listing the selected enriched gene sets.
GSEA Results Table
A table listing the results of the gene set enrichment analysis (GSEA) with CAMERA.
A plot showing the intersection of elements across user-defined protein lists.
Write and format text to record insights and notes.