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bioRxiv · 10.1101/2019.12.12.873497

AnthOligo: Automating the design of oligonucleotides for capture/enrichment technologies

Jayaraman, P.·Mosbruger, T.·Hu, T.·Tairis, N. G.·Wu, C.·Clark, P. M.·D'Arcy, M.·Ferriola, D.·Mackiewicz, K.·Gai, X.·Monos, D. S.·Sarmady, M.
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Abstract

SummaryA number of methods have been devised to address the need for targeted genomic resequencing. One of these methods, Region-specific extraction (RSE) of DNA is characterized by the capture of long DNA fragments (15-20 kb) by magnetic beads, after enzymatic extension of oligonucleotides hybridized to selected genomic regions. Facilitating the selection of the most optimal capture oligos targeting a region of interest, satisfying the properties of temperature (Tm) and entropy ({Delta}G), while minimizing the formation of primer dimers in a pooled experiment is therefore necessary. Manual design and selection of oligos becomes an extremely arduous task complicated by factors such as length of the target region and number of targeted regions. Here we describe, AnthOligo, a web-based application developed to optimally automate the process of generation of oligo sequences to be used for the targeting and capturing the continuum of large and complex genomic regions. Apart from generating oligos for RSE, this program may have wider applications in the design of customizable internal oligos to be used as baits for gene panel analysis or even probes for large-scale comparative genomic hybridization (CGH) array processes. Implementation and AvailabilityThe application written in Java8 and run on Tomcat9 is a lightweight Java Spring MVC framework that provides the user with a simple interface to upload an input file in BED format and customize parameters for each task. A Redis-like MapReduce framework is implemented to run sub-tasks in parallel to optimize time and system resources alongside a task-queuing system that runs submitted jobs as a server-side background daemon. The task of probe design in AnthOligo commences when a user uploads an input file and concludes with the generation of a result-set containing an optimal set of region-specific oligos. AnthOligo is currently available as a public web application with URL: http://antholigo.chop.edu.

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Jayaraman, P., Mosbruger, T., Hu, T., Tairis, N. G., Wu, C., Clark, P. M., D'Arcy, M., Ferriola, D., Mackiewicz, K., Gai, X., Monos, D. S., Sarmady, M.. 2019-12-12. AnthOligo: Automating the design of oligonucleotides for capture/enrichment technologies. https://doi.org/10.1101/2019.12.12.873497

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