Argonaut: A Web Platform for Collaborative Multi-omic Data Visualization and Exploration

Abstract

SUMMARY Researchers now generate large multi-omic datasets using increasingly mature mass spectrometry techniques at an astounding pace, facing new challenges of “Big Data” dissemination, visualization, and exploration. Conveniently, web-based data portals accommodate the complexity of multi-omic experiments and the many experts involved. However, developing these tailored companion resources requires programming expertise and knowledge of web server architecture—a substantial burden for most. Here, we describe Argonaut, a simple, code-free, and user-friendly platform for creating customizable, interactive data-hosting websites. Argonaut carries out real-time statistical analyses of the data, which it organizes into easily sharable projects. Collaborating researchers worldwide can explore the results, visualized through popular plots, and modify them to streamline data interpretation. Increasing the pace and ease of access to multi-omic data, Argonaut aims to propel discovery of new biological insights. We showcase the capabilities of this tool using a published multi-omics dataset on the large mitochondrial protease deletion collection.

Multi-omics analysis identifies essential regulators of mitochondrial stress response in two wild-type C. elegans strains

“…Similar differential analysis was performed as for the transcriptome layer using the R package edgeR (version 3.24.3) with a generalized linear model, similar normalization and principal component analysis methods ( Robinson et al., 2010 ). The proteomic data files were shared using the in-house web-based data visualization tool Argonaut ( Brademan et al., 2020 ).…”

Cytomegalovirus US28 regulates cellular EphA2 to maintain viral latency

“…Kinases were parsed, and global normalization was applied. Argonaut ( 82 ) was used for further processing. Only proteins with >1 unique+razor peptide were used for LFQ analysis.…”

Interactive Knowledge Visualization Based on IoT and Augmented Reality

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