Special Issue "Integrated Systems Biology: Challenges and Future Perspectives"
Deadline for manuscript submissions: closed (31 October 2022) | Viewed by 4345
Interests: metabolomics; environmental multi-omics; pesticide analysis; systems biology; environmental science
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Interests: metabolomics; environmental multi-omics; systems biology; environmental science
Interests: metagenomics; microbial ecology; systems biology; environmental science
Interests: transcriptomics; computational multi-omics; systems biology; co-expression networks; livestock production
Interests: metagenomics; systems biology; bioinformatics; multi-omics
The CSIRO ‘Cutting-edge Symposium on Integrated Systems Biology: Challenges and Future Perspectives’ is a chance to learn about the most recent developments in integrated systems biology and its applications. The Symposium will cover all aspects of metabolites and metabolism relevant to the fields of metabolomics, metabolic biochemistry, computational and systems biology, biotechnology and medicine that encompass multi-omics integration. It will also offer a forum to identify and then work together to address the challenges associated with computational advances relevant to understanding metabolic processes and metabolic networks via integrated systems biology research. This forum will aim to take the community forward to develop truly integrative systems biology research approached and tools that maximize the utility of this practice and the impact that it can help to deliver.
The symposium encompasses six podium presentation themes, posters, lightning plenary session, and a half-day workshop. The six major themes encompass synthetic biology, environmental sciences and ecosystem surveillance, industrial technology, health and precision medicine, food and agriculture, and machine learning and artificial intelligence.
For this Special Issue, we particularly, but not exclusively, welcome papers presented at or resulting from the Cutting-Edge Symposium on Integrated Systems Biology: Challenges and Future Perspectives, held 25–27 October 2021 at the Brisbane Convention and Exhibition Centre and a community workshop at the CSIRO Ecosciences Precinct (October 27), with a focus related to integrated systems biology.
More information about the Cutting-Edge Symposium on Integrated Systems Biology: Challenges and Future Perspectives can be found at: https://wp.csiro.au/sisb/
We look forward to reading your papers!
Dr. David J. Beale
Dr. Katie E. Hillyer
Dr. Andrew Bissett
Dr. Pâmela A. Alexandre
Dr. Annette McGrath
Dr. James A. Broadbent
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.
- synthetic biology
- environmental sciences
- industrial technology
- health and precision medicine
- food and agriculture
- machine learning and artificial intelligence