Editorial Board Members’ Collection Series: Metabolic Pathway Mapping and Enrichment

A special issue of Metabolites (ISSN 2218-1989). This special issue belongs to the section "Bioinformatics and Data Analysis".

Deadline for manuscript submissions: 31 August 2024 | Viewed by 2879

Special Issue Editor


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Guest Editor
College of Informatics, Huazhong Agricultural University, Wuhan 430070, China
Interests: systems evolutionary biology; evolutionary biomedicine; translational bioinformatics

Special Issue Information

Dear Colleagues,

We are pleased to announce this Special Issue collection, entitled "Editorial Board Members’ Collection Series: Metabolic Pathway Mapping and Enrichment". This Issue will compile a collection of papers from our Editorial Board Members and any potential collaborators they may invite. Our aim is to provide a forum for networking and communication between Metabolites and scholars in the fields of systems biology, data analysis, and bioinformatics. All papers will be pushlished in a fully open access upon format after a rigorous process of peer review.

Prof. Dr. Hong-Yu Zhang
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Metabolites is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • metabolite
  • metabolomics
  • systems biology
  • data analysis
  • bioinformatics
  • metabolite pathway mapping
  • metabolite pathway enrichment analysis (MPEA)

Published Papers (1 paper)

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Research

13 pages, 4926 KiB  
Article
The Omics Dashboard for Interactive Exploration of Metabolomics and Multi-Omics Data
by Suzanne Paley and Peter D. Karp
Metabolites 2024, 14(1), 65; https://doi.org/10.3390/metabo14010065 - 19 Jan 2024
Viewed by 2237
Abstract
The Omics Dashboard is a software tool for interactive exploration and analysis of metabolomics, transcriptomics, proteomics, and multi-omics datasets. Organized as a hierarchy of cellular systems, the Dashboard at its highest level contains graphical panels for the full range of cellular systems, including [...] Read more.
The Omics Dashboard is a software tool for interactive exploration and analysis of metabolomics, transcriptomics, proteomics, and multi-omics datasets. Organized as a hierarchy of cellular systems, the Dashboard at its highest level contains graphical panels for the full range of cellular systems, including biosynthesis, energy metabolism, and response to stimulus. Thus, the Dashboard top level surveys the state of the cell across a broad range of key systems in a single screen. Each Dashboard panel contains a series of X–Y plots depicting the aggregated omics data values relevant to different subsystems of that panel, e.g., subsystems within the biosynthesis panel include amino acid biosynthesis, carbohydrate biosynthesis and cofactor biosynthesis. Users can interactively drill down to focus in on successively lower-level subsystems of interest. In this article, we present for the first time the metabolomics analysis capabilities of the Omics Dashboard, along with significant new extensions to better accommodate metabolomics datasets, enable analysis and visualization of multi-omics datasets, and provide new data-filtering options. Full article
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