MinOmics, an Integrative and Immersive Tool for Multi-Omics Analysis - Laboratoire de Biologie Moléculaire et Cellulaire des Eucaryotes Accéder directement au contenu
Article Dans Une Revue Journal of Integrative Bioinformatics Année : 2018

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

Résumé

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.
Fichier principal
Vignette du fichier
10.1515_jib-2018-0006.pdf (7.19 Mo) Télécharger le fichier
Origine : Publication financée par une institution

Dates et versions

hal-01935585 , version 1 (20-12-2022)

Identifiants

Citer

Alexandre Maes, Xavier Martinez, Karen Druart, Benoist Laurent, Sean Guégan, et al.. MinOmics, an Integrative and Immersive Tool for Multi-Omics Analysis. Journal of Integrative Bioinformatics, 2018, 15 (2), pp.20180006. ⟨10.1515/jib-2018-0006⟩. ⟨hal-01935585⟩
201 Consultations
10 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More