Highlights
Genedata and Roche collaborate on MS-based Proteomics biomarker discovery
Request posters showing how the University of Alabama uses Expressionist for their research:
Protein Biomarker in Pancreatic Cancer
Proteomics and Metabolomics of Human Prostate Cancer
Peptidomics and Systems Biology of Cystic Fibrosis
Genedata Expressionist® automates the data analysis process of large scale proteomics projects, in particular those based on mass spectrometry technology. It provides algorithms for quality control on spectra as well as 2D-Gel spot data plus a huge variety of statistical analysis tools in order to generate reliable and reproducible results.
A wide range of data formats are supported, including those from mass-spectrometry instrument providers Thermo, Waters, Agilent, Bruker and those from 2D-Gel technology providers Luminex, Nonlinear Dynamics, GeneBio, GE Healthcare, Bio-Rad, Scimagix, Definiens, as well as others. The following modules specifically support transcriptomics projects.
Refiner MS
Captures raw data from a wide range of MS instrumentations and processes them according to configurable business rules; Extremely scalable algorithms support a wide range of experimental setups, including LC-MS/MSn, GC-MS, SELDI, SILAC, MRM and Infusion MS.
Genedata Analyst
Puts rigorous statistical algorithms and the most powerful visualization tools into the hands of biological experts and biostatisticians alike; Provides integrated and flexible data mining capabilities; Enables researchers to combine data from different experimental platforms; Extremely powerful with data sets consisting of billions of data points; Allows collaboration through session-sharing and graphical analyses workflows; Gives interdisciplinary teams a platform on which to communicate, discuss and interpret the results of biological experiments.