NDLI: Genome dynamics in coevolved genomes: database management system for tracing mutations

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Genome dynamics in coevolved genomes: database management system for tracing mutations

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Genome dynamics in coevolved genomes: database management system for tracing mutations

Content Provider	ACM Digital Library
Author	Westover, Erik Kim, Wooyoung Nareddy, Sahith Sai Hillesland, Kristina
Abstract	We investigate coevolution of two microorganisms in terms of the adaptations and genome dynamics over a thousand of generations. A number of coevolved populations are generated in a lab, and preliminary results about the increased growth rate and density of evolved populations have proven that their interactions are mutually beneficial. In order to understand the underlying genotypic changes, it is important to examine the rates of new mutations in the original and evolved populations. We expect to identify beneficial mutations through computational analyses using the whole-genome DNA sequencing data which are already available in the lab. Initially, Breseq genomic sequencing tool is used to identify mutations. However, the simple results of 'predicted mutations' are not enough to identify real mutations, nor distinguish beneficial mutations from neural or deleterious mutations. Therefore, in this paper, we introduce a database management system (DBMS) that can rigorously trace the mutations over different generations by having the ability to update and retrieve data. The DBMS supports a query language and produces reports in a structural way. We also plan to build a web-based interface to increase the usability of the DBMS in near future.
Starting Page	633
Ending Page	634
Page Count	2
File Format	PDF
ISBN	9781450328944
DOI	10.1145/2649387.2660810
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2014-09-20
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Dbms Ngs Mutation Coevolution
Content Type	Text
Resource Type	Article

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