TY - JOUR
T1 - Solving genomic puzzles
T2 - computational methods for metagenomic binning
AU - Mallawaarachchi, Vijini
AU - Wickramarachchi, Anuradha
AU - Xue, Hansheng
AU - Papudeshi, Bhavya
AU - Grigson, Susanna R.
AU - Bouras, George
AU - Prahl, Rosa E.
AU - Kaphle, Anubhav
AU - Verich, Andrey
AU - Talamantes-Becerra, Berenice
AU - Dinsdale, Elizabeth A.
AU - Edwards, Robert A.
N1 - Publisher Copyright:
© 2024 The Author(s).
PY - 2024/9
Y1 - 2024/9
N2 - 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.
AB - 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.
KW - bioinformatics
KW - metagenomics
KW - microorganisms
KW - metagenomic binning
UR - http://purl.org/au-research/grants/ARC/DP220102915
UR - http://www.scopus.com/inward/record.url?scp=85200171280&partnerID=8YFLogxK
U2 - 10.1093/bib/bbae372
DO - 10.1093/bib/bbae372
M3 - Article
C2 - 39082646
AN - SCOPUS:85200171280
SN - 1467-5463
VL - 25
JO - Briefings in Bioinformatics
JF - Briefings in Bioinformatics
IS - 5
M1 - bbae372
ER -