Provides intuitive, yet powerful, instrument control, data acquisition, qualitative and quantitative data analysis, and reporting for Agilent time-of-flight (TOF), quadrupole time-of-flight (Q-TOF), ICP-MS, and triple quadrupole systems. Designed from the ground up to make MS analyses easier from tuning to final report MassHunter Workstation software can be complemented by application-specific MassHunter software packages that provide even more power and stream-lined operation for specialized analytical tasks such as expression profiling.
A software tool for the analysis of MALDI data. This is an application that covers the whole process of MALDI data analysis, from data preprocessing to complex data analyses. Mass-Up incorporates the most common analyses, aside from protein identification and focusing in biomarker discovery, such as statistical tests-based biomarker discovery, clustering, PCA, and classification. In addition, other less common analyses such as quality control and biclustering are also included. Therefore, Mass-Up provides users with a wide range of tools to analyze and explore their MALDI data.
Aligns multiple liquid chromatography-mass spectrometry (LC-MS) datasets to one another by clustering mass and chromatographic elution features across datasets. The MultiAlign application provides advanced visualization and manipulation capabilities for LC-MS datasets acquired on high resolution mass spectrometers. Functionalities include overlaid 2D plots, alignment plots, normalizations, and basic statistical comparisons. MultiAlign uses the LCMSWARP algorithm to align LC-MS datasets to a master list (mass tag database or a single LC-MS dataset) and then consolidate features into a consensus map. These features can be matched to an accurate mass and time (AMT) tag database to identify the LC-MS features.
Allows to analyse shotgun proteomics data. CPFP is a data analysis pipeline that aims to provide a simple interface for core facility staff and clients, and to fully automate the analysis of tandem mass spectrometry (MS/MS) data with multiple search engines. The software consists of a web application, relational database and collection of pipeline scripts. It can be installed locally or started in the Amazon Web Services (AWS) cloud.
Handles the computational complexity of pairwise comparisons of spectra in the context of large volumes. SpecOMS can compare a whole set of experimental spectra generated by a discovery proteomics experiment to a whole set of theoretical spectra deduced from a protein database. It contains SpecXtract, which computes the number of common (or shared) fragment masses for any pair of spectra, SpecTrees, a data structure to store all the input spectra without any filtering, and SpecFit to analyse the pairs provided by SpecXtract.