expam - high-resolution analysis of metagenomes using distance trees

SM Solari; RB Young; VR Marcelino; SC Forster

Journal article

expam - high-resolution analysis of metagenomes using distance trees

SM Solari, RB Young, VR Marcelino, SC Forster

Bioinformatics | OXFORD UNIV PRESS | Published : 2022

DOI: 10.1093/bioinformatics/btac591

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Abstract

Shotgun metagenomic sequencing provides the capacity to understand microbial community structure and function at unprecedented resolution; however, the current analytical methods are constrained by a focus on taxonomic classifications that may obfuscate functional relationships. Here, we present expam, a tree-based, taxonomy agnostic tool for the identification of biologically relevant clades from shotgun metagenomic sequencing.

University of Melbourne Researchers

Vanessa Rossetto Marcelino Author

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Grants

Awarded by Australian Research Council

Funding Acknowledgements

This work was supported by the Australian National Health and Medical Research Council [grant number APP1186371] to S.C. F., the Australian Research Council [grant number DP190101504] and the Victorian government infrastructure support fund. V.R.M. is supported by an Australian Research Council DECRA fellowship [grant number DE220100965] and S.C.F. is supported by an Australian National Health and Medical Research CDF Fellowship [grant number APP1159239]. R.B.Y and S.M.S are supported by Australian Government Research Training Program (RTP) scholarships, and S.M.S is supported by a Monash Graduate Excellence Scholarship (MGES).