Document Type
Article
Publication Date
10-25-2015
Publication Title
Evolutionary Bioinformatics
Volume
12
Pages
23-27
Abstract
As sequencing technologies continue to drop in price and increase in throughput, new challenges emerge for the management and accessibility of genomic sequence data. We have developed a pipeline for facilitating the storage, retrieval, and subsequent analysis of molecular data, integrating both sequence and metadata. Taking a polyglot approach involving multiple languages, libraries, and persistence mechanisms, sequence data can be aggregated from publicly available and local repositories. Data are exposed in the form of a RESTful web service, formatted for easy querying, and retrieved for downstream analyses. As a proof of concept, we have developed a resource for annotated HIV-1 sequences. Phylogenetic analyses were conducted for >6,000 HIV-1 sequences revealing spatial and temporal factors influence the evolution of the individual genes uniquely. Nevertheless, signatures of origin can be extrapolated even despite increased globalization. The approach developed here can easily be customized for any species of interest.
Identifier
10.4137/EBO.S32757
Recommended Citation
Reisman et al. a Polyglot approach to Bioinformatics Data integration: a Phylogenetic analysis of Hiv-1. Evolutionary Bioinformatics 2016:12 23–27 doi: 10.4137/EBo.s32757.
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 License.
Copyright Statement
© 2015 The authors, publisher and licensee Libertas Academica Limited
Included in
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Comments
Author Posting © The Authors, 2015. This article is posted here by permission of Libertas Academica for personal use, not for redistribution. The article was published in Evolutionary Bioinformatics 2016:12 23–27, http://dx.doi.org/10.4137/EBO.S32757.