Journal article
Assessing Species Diversity Using Metavirome Data: Methods and Challenges
D Herath, D Jayasundara, D Ackland, I Saeed, SL Tang, S Halgamuge
Computational and Structural Biotechnology Journal | ELSEVIER SCIENCE BV | Published : 2017
Abstract
Assessing biodiversity is an important step in the study of microbial ecology associated with a given environment. Multiple indices have been used to quantify species diversity, which is a key biodiversity measure. Measuring species diversity of viruses in different environments remains a challenge relative to measuring the diversity of other microbial communities. Metagenomics has played an important role in elucidating viral diversity by conducting metavirome studies; however, metavirome data are of high complexity requiring robust data preprocessing and analysis methods. In this review, existing bioinformatics methods for measuring species diversity using metavirome data are categorised b..
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Grants
Awarded by Australian Research Council
Funding Acknowledgements
DH is fully supported by the PhD scholarships of The University of Melbourne. This work is also supported by Australian Research Council grant LP140100670 and the industry partner YourGene BioScience. We gratefully acknowledge the anonymous reviewers for their constructive comments and suggestions to improve the manuscript.