Web-based software for organizing, visualizing, and collaborating on data produced using MetaSci’s high quality chemical libraries.
BY VERSO BIOSCIENCES
Working in MarkerLab, researchers and service labs can reference the MetaSci Human Metabolome Library (HML) with standards for more than 1,000 compounds, representing a broad range of metabolites commonly found in human tissues and biofluids as well as an extensive repertoire of environmental contaminants, drug products and other chemical compounds. The HML is designed to assist in idenﬁcation and quantiﬁcation of compounds with applications in medicine, toxicology, food and agriculture.
Sharing and collaborating on omics data has never been easier
Focused on usability and putting data in the right biological context, MarkerLab makes it easy to load, visualize and learn from multi-omics data.
MarkerLab works with your ﬁnal study data to provide simple multi-omics integration, customizable applications and toolsets, engaging interactive reports, and a streamlined collaboration environment.
MarkerLab enables labs to publish data directly to customers, and enables researchers to establish collaborative teams that work together in the context of study data.
Researchers can access or create an extensive collection of data organizing tools including ontologies, pathway maps, annotations, and algorithms. These resources are quickly and easily edited, layered, and combined with unique user insights to create a dynamic knowledge base for individuals and institutions.
Organizing Tools: Your Data in Context
MarkerLab applications allow you to deﬁne your own data organization strategies, and organize your study data into custom, interpretable structures.
MarkerLab includes an extensive collection of metabolic and gene/protein network pathways, curated from the resources at reactome.org. Pathway tools provide authoring, editing, and import functionality so you can customize or add new maps that put your data in the best possible context.
Marker Sets & Ontologies
Sets and ontologies enable critical signal detection and enrichment methods—key to the underlying data organization approach in MarkerLab. These tools include reference to a comprehensive collection of default marker sets derived from reactome.org, with the capability to create, edit, and share your data organization strategies across the platform.
MarkerLab provides annotations for individual biomarkers in context with every report and across all studies. Default annotations are mapped to database IDs from a wide variety of preferred resources such as Uniprot, Ensemble, Pubchem, HMDB and KEGG. In addition, the annotations tool makes it easy to edit individual references or upload new content in bulk from external ﬁles.
Beautiful Interactive Reports
Dynamic reports provide multiple levels of data interaction and evaluation
Review experimental effects across the entire data set, at the pathway and marker set level, or in detailed data cards that describe speciﬁc effects on individual markers.
Sort markers by difference between selected groups, choose individual markers to view additional detail and data, and identify pathways and sets of interest using enrichment and signal detection algorithms.
Plot markers by signiﬁcance and degree of difference, and ﬁlter them by sets. Export reports of marker candidates based on selection criteria and use the results to create new sets that can be stored and reused in future studies.
Visualize study data in a curated collection of multi-omic enabled pathway heat maps.
Disclaimer: MarkerLab and the the MarkerLab logo are properties or trademarks of VersoBio. VersoBio products are not produced, developed sold, shipped and maintained by MetaSci. MetaSci products are not produced, developed sold, shipped and maintained by VersoBio.