Solving genomic puzzles: computational methods for metagenomic binning
Files
(Published version)
Date
2024
Authors
Mallawaarachchi, V.
Wickramarachchi, A.
Xue, H.
Papudeshi, B.
Grigson, S.R.
Bouras, G.
Prahl, R.E.
Kaphle, A.
Verich, A.
Talamantes-Becerra, B.
Editors
Advisors
Journal Title
Journal ISSN
Volume Title
Type:
Journal article
Citation
Briefings in Bioinformatics, 2024; 25(5):bbae372-1-bbae372-17
Statement of Responsibility
Vijini Mallawaarachchi, Anuradha Wickramarachchi, Hansheng Xue, Bhavya Papudeshi, Susanna R Grigson, George Bouras, Rosa E Prahl, Anubhav Kaphle, Andrey Verich, Berenice Talamantes-Becerra, Elizabeth A Dinsdale, Robert A Edwards
Conference Name
Abstract
Metagenomics involves the study of genetic material obtained directly from communities of microorganisms living in natural environments. The field of metagenomics has provided valuable insights into the structure, diversity and ecology of microbial communities. Once an environmental sample is sequenced and processed, metagenomic binning clusters the sequences into bins representing different taxonomic groups such as species, genera, or higher levels. Several computational tools have been developed to automate the process of metagenomic binning. These tools have enabled the recovery of novel draft genomes of microorganisms allowing us to study their behaviors and functions within microbial communities. This review classifies and analyzes different approaches of metagenomic binning and different refinement, visualization, and evaluation techniques used by these methods. Furthermore, the review highlights the current challenges and areas of improvement present within the field of research.
School/Discipline
Dissertation Note
Provenance
Description
Access Status
Rights
© The Author(s) 2024. Published by Oxford University Press. This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (https://creativecommons.org/ licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com