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MinOmics, an Integrative and Immersive Tool for Multi-Omics Analysis

TitleMinOmics, an Integrative and Immersive Tool for Multi-Omics Analysis
Publication TypeJournal Article
Year of Publication2018
AuthorsMaes, A, Martinez, X, Druart, K, Laurent, B, Guegan, S, Marchand, CH, Lemaire, SD, Baaden, M
JournalJ Integr Bioinform
Volume15
Date PublishedJun 21
ISBN Number1613-4516 (Electronic)1613-4516 (Linking)
Keywords*Computer Graphics, *Protein Processing, Post-Translational, *Software, Algal Proteins/chemistry/*metabolism, Chlamydomonas reinhardtii/chemistry/*metabolism, Imaging, Three-Dimensional, Models, Structural, Oxidation-Reduction, Protein Conformation, Protein Interaction Maps, Proteome/analysis, Proteomics/methods, Virtual Reality
Abstract

Proteomic and transcriptomic technologies resulted in massive biological datasets, their interpretation requiring sophisticated computational strategies. Efficient and intuitive real-time analysis remains challenging. We use proteomic data on 1417 proteins of the green microalga Chlamydomonas reinhardtii to investigate physicochemical parameters governing selectivity of three cysteine-based redox post translational modifications (PTM): glutathionylation (SSG), nitrosylation (SNO) and disulphide bonds (SS) reduced by thioredoxins. We aim to understand underlying molecular mechanisms and structural determinants through integration of redox proteome data from gene- to structural level. Our interactive visual analytics approach on an 8.3 m2 display wall of 25 MPixel resolution features stereoscopic three dimensions (3D) representation performed by UnityMol WebGL. Virtual reality headsets complement the range of usage configurations for fully immersive tasks. Our experiments confirm that fast access to a rich cross-linked database is necessary for immersive analysis of structural data. We emphasize the possibility to display complex data structures and relationships in 3D, intrinsic to molecular structure visualization, but less common for omics-network analysis. Our setup is powered by MinOmics, an integrated analysis pipeline and visualization framework dedicated to multi-omics analysis. MinOmics integrates data from various sources into a materialized physical repository. We evaluate its performance, a design criterion for the framework.

URLhttp://www.ncbi.nlm.nih.gov/pubmed/29927748
Short TitleJournal of integrative bioinformatics