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Home NEWS Science News Biology

Next generation metagenomics: Exploring the opportunities and challenges

Bioengineer by Bioengineer
July 15, 2019
in Biology
Reading Time: 3 mins read
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Credit: (c) 2019 Mary Ann Liebert, Inc., publishers

New Rochelle, NY, July 8, 2019–A new expert review highlights the opportunities and methodological challenges at this critical juncture in the growth of the field of metagenomics. With important implications and applications in clinical medicine, public health, biology, and ecology, metagenomics is benefitting from advances in high-throughput techniques and technology, while facing the challenges of big data storage and analysis, according to the review article published in OMICS: A Journal of Integrative Biology, the peer-reviewed interdisciplinary journal published by Mary Ann Liebert, Inc., publishers. Click here to read the full-text article free on the OMICS: A Journal of Integrative Biology website until August 8, 2019.

Ilaria Laudadio, Valerio Fulci, Laura Stronati, and Claudia Carissimi, at Sapienza University of Rome, Italy, coauthored the article entitled “Next Generation Metagenomics: Methodological Challenges and Opportunities.” Metagenomics provides a view into the genetic composition of microbial communities, whether from environmental, human, or other types of samples. The authors identify the major bottlenecks in current metagenomic experimental design and data reporting and analysis. They discuss the differences in previous shotgun metagenomics approaches to the more recent technological developments such as single-cell metagenomics. They also focus on advances in the intriguing field of functional metagenomics and identify the need for greater standardization to allow for the proper comparison of data produced by different research groups.

Vural Ă–zdemir, MD, PhD, DABCP, Editor-in-Chief of OMICS: A Journal of Integrative Biology states: “Metagenomics is a sophisticated example of what omics and systems sciences offer to both human and planetary health. Metagenomics is of interest not only to cell biologists and medical and environmental scientists, but also to physicians and healthcare specialists in need of new approaches to medical diagnostics and therapeutics. Dr. Carissimi and coauthors highlight the actionable targets for metagenomics, as well as what the future holds in this new frontier of systems sciences. For readers seeking to rapidly grasp the nuances of metagenomics, this concise expert review is a thoughtful and timely resource.”

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About the Journal

OMICS: A Journal of Integrative Biology is an authoritative and highly innovative peer-reviewed interdisciplinary journal published monthly online, addressing the latest advances at the intersection of postgenomics medicine, biotechnology and global society, including the integration of multi-omics knowledge, data analyses and modeling, and applications of high-throughput approaches to study complex biological and societal problems. Public policy, governance and societal aspects of the large-scale biology and 21st century data-enabled sciences are also peer-reviewed. Complete tables of content and a sample issue may be viewed on the OMICS: A Journal of Integrative Biology website.

About the Publisher

Mary Ann Liebert, Inc., publishers is a privately held, fully integrated media company known for establishing authoritative peer-reviewed journals in many areas of science and biomedical research, including Journal of Computational Biology, ASSAY and Drug Development Technologies, and Zebrafish. Its biotechnology trade magazine, GEN (Genetic Engineering & Biotechnology News), was the first in its field and is today the industry’s most widely read publication worldwide. A complete list of the firm’s 80 journals, books, and newsmagazines is available on the Mary Ann Liebert, Inc., publishers website.

Media Contact
Kathryn Ryan
[email protected]

Original Source

https://home.liebertpub.com/news/next-generation-metagenomics-exploring-the-opportunities-and-challenges/3576

Related Journal Article

http://dx.doi.org/10.1089/omi.2019.0073

Tags: BioinformaticsBiologyGenetics
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