Metandem

A Data Analysis Tool for Isobaric Labeling-based Metabolomics

Metandem is a free online data analysis platform for mass spectrometry-based isobaric labeling metabolomics. It allows users to upload and process MS or hyphenated MS data files for isobaric-labeling-based quantitative and qualitative metabolomics analyses, including feature extraction, metabolite quantification, metabolite identification, batch processing of multiple data files, parameter optimization, median normalization, and statistical analysis. Results can be downloaded or visualized online.

PRESnovo

Prescreening prior to de novo sequencing

Prescreening Prior to de novo sequencing tool using peptide motif homology for improved de novo sequencing of peptides.  PRESnovo works by searching tandem mass spectrometry data against a predefined motif database consisting of known peptides from the species of interest or related species. The software assigns the most probable motif to each precursor using a sophisticated scoring function. Results can then be used in conjunction with other de novo sequencing software to improve the accuracy of the de novo sequences.

Proteome-wide and matrisome-specific alterations during human pancreas development and maturation

In this study, we apply mass spectrometry-based quantitative proteomics strategies using N,N-dimethyl leucine isobaric tags to delineate proteome-wide and ECM-specific alterations in four age groups: fetal (18-20 weeks gestation), juvenile (5-16 years old), young adults (21-29 years old) and older adults (50-61 years old). We identify 3,523 proteins including 185 ECM proteins and quantify 117 of them. The manuscript can be found below and the data may be viewed interactively via our custom webapp.

Crustacean Neuropeptide Database

De Novo Neuropeptide Database

This database contains all known neuropeptides present in several decapod crustacean species. The database consists of sequences obtained in-house via de novo sequencing, publicly-available data, and sequences reported in the literature using in silico prediction.  This database has been used for the identification of neuropeptides in crustacean tissue and circulating fluid.

More coming soon!