A web-oriented software for the optimization of pooled experiments in NGS for detection of rare mutations Bioinformatics

2Citations
Citations of this article
6Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

Background: The cost per patient of next generation sequencing for detection of rare mutations may be significantly reduced using pooled experiments. Recently, some techniques have been proposed for the planning of pooled experiments and for the optimal allocation of patients into pools. However, the lack of a user friendly resource for planning the design of pooled experiments forces the scientists to do frequent, complex and long computations. Results: OPENDoRM is a powerful collection of novel mathematical algorithms usable via an intuitive graphical user interface. It enables researchers to speed up the planning of their routine experiments, as well as, to support scientists without specific bioinformatics expertises. Users can automatically carry out analysis in terms of costs associated with the optimal allocation of patients in pools. They are also able to choose between three distinct pooling mathematical methods, each of which also suggests the optimal configuration for the submitted experiment. Importantly, in order to keep track of the performed experiments, users can save and export the results of their experiments in standard tabular and charts contents. Conclusion: OPENDoRM is a freely available web-oriented application for the planning of pooled NGS experiments, available at: Http://www-labgtp.na.icar.cnr.it/OPENDoRM. Its easy and intuitive graphical user interface enables researchers to plan theirs experiments using novel algorithms, and to interactively visualize the results.

Cite

CITATION STYLE

APA

Evangelista, D., Zuccaro, A., Lančinskas, A., Žilinskas, J., & Guarracino, M. R. (2016). A web-oriented software for the optimization of pooled experiments in NGS for detection of rare mutations Bioinformatics. BMC Research Notes, 9(1). https://doi.org/10.1186/s13104-016-1889-6

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free