| Literature DB >> 28590251 |
Tarah Lynch1,2, Aaron Petkau3, Natalie Knox3, Morag Graham3,4, Gary Van Domselaar3,4.
Abstract
The number of large-scale genomics projects is increasing due to the availability of affordable high-throughput sequencing (HTS) technologies. The use of HTS for bacterial infectious disease research is attractive because one whole-genome sequencing (WGS) run can replace multiple assays for bacterial typing, molecular epidemiology investigations, and more in-depth pathogenomic studies. The computational resources and bioinformatics expertise required to accommodate and analyze the large amounts of data pose new challenges for researchers embarking on genomics projects for the first time. Here, we present a comprehensive overview of a bacterial genomics projects from beginning to end, with a particular focus on the planning and computational requirements for HTS data, and provide a general understanding of the analytical concepts to develop a workflow that will meet the objectives and goals of HTS projects.Entities:
Mesh:
Year: 2016 PMID: 28590251 PMCID: PMC5010755 DOI: 10.1128/CMR.00001-16
Source DB: PubMed Journal: Clin Microbiol Rev ISSN: 0893-8512 Impact factor: 26.132