Document Type
Article
Publication Date
6-20-2016
Publication Title
Evolutionary Bioinformatics
Volume
Suppl 1
Pages
25-33
Publisher Name
Libertas Academica
Abstract
Advances in bioinformatics and sequencing technologies have allowed for the analysis of complex microbial communities at an unprecedented rate. While much focus is often placed on the cellular members of these communities, viruses play a pivotal role, particularly bacteria-infecting viruses (bacteriophages); phages mediate global biogeochemical processes and drive microbial evolution through bacterial grazing and horizontal gene transfer. Despite their importance and ubiquity in nature, very little is known about the diversity and structure of viral communities. Though the need for culture-based methods for viral identification has been somewhat circumvented through metagenomic techniques, the analysis of metaviromic data is marred with many unique issues. In this review, we examine the current bioinformatic approaches for metavirome analyses and the inherent challenges facing the field as illustrated by the ongoing efforts in the exploration of freshwater phage populations.
Identifier
10.4137/EBO.S38549
Recommended Citation
Bruder, Katherine; Malki, Kema; Cooper, Alexandria; Sible, Emily; Shapiro, Jason W.; Watkins, Siobhan C.; and Putonti, Catherine. Freshwater Metaviromics and Bacteriophages: A Current Assessment of the State of the Art in Relation to Bioinformatic Challenges. Evolutionary Bioinformatics, Suppl 1, : 25-33, 2016. Retrieved from Loyola eCommons, Bioinformatics Faculty Publications, http://dx.doi.org/10.4137/EBO.S38549
Creative Commons License
This work is licensed under a Creative Commons Attribution-No Derivative Works 3.0 License.
Copyright Statement
© The authors, publisher and licensee Libertas Academica Limited. This is an open-access article distributed under the terms of the Creative Commons CC-BY-NC3.0 License.
Comments
Author Posting © Libertas Academica, 2016. This article is posted here by permission of Libertas Academica for personal use, not for redistribution. The article was published in Evolutionary Bioinformatics, Suppl 1, June 20, 2016, http://dx.doi.org/10.4137/EBO.S38549%20