Software – Marker State Space (MSS). This program is for the development of biomarker panels
Software – Segment and Fit Thresholding (SFT). This program is for the automated detection and quantification of signals in image data
SlideImprinter for the partitioning of microscope slides, available from the Gel Company
Barnett D et al. The CA19-9 and Sialyl-TRA antigens define separate subpopulations of pancreatic cancer cells. Sci Rep.
Tang H et al. Glycan motif profiling reveals plasma sialyl-lewis x elevations in pancreatic cancers that are negative for sialyl-lewis A. Mol Cell Proteomics
Cao Z et al. Specific glycoforms of MUC5AC and endorepellin accurately distinguish mucinous from nonmucinous pancreatic cysts. Mol Cell Proteomics
Porter A et al. A motif-based analysis of glycan array data to determine the specificities of glycan-binding proteins. Glycobiology
Yue T et al. Enhanced discrimination of malignant from benign pancreatic disease by measuring the CA 19-9 antigen on specific protein carriers. Yue T, Maupin KA, Fallon B, Li L, Partyka K, Anderson MA, Brenner DE, Kaul K, Zeh H, Moser AJ, Simeone DM, Feng Z, Brand RE, Haab BB. PLoS One
Chen S et al. Multiplexed analysis of glycan variation on native proteins captured by antibody microarrays. Chen S, LaRoche T, Hamelinck D, Bergsma D, Brenner D, Simeone D, Brand RE, Haab BB. Nat Methods
Dr. Haab is on ResearchGate! Learn more here.