ArticleBioinformatics (Oxford, England)2020
AnthOligo: automating the design of oligonucleotides for capture/enrichment technologies.
Article in Bioinformatics (Oxford, England), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 8 citations in OpenAlex.
- Methods, applications, and computational challenges in bait capture enrichment.Cell reports methods · 2025Review
- OLTA: Optimizing bait seLection for TArgeted sequencing.Bioinformatics (Oxford, England) · 2025Article
- Targeted and complete genomic sequencing of the major histocompatibility complex in haplotypic form of individual heterozygous samples.Genome research · 2024Article
- Fishing for DNA? Designing baits for population genetics in target enrichment experiments: Guidelines, considerations and the new tool supeRbaits.Molecular ecology resources · 2022Article
- Syotti: scalable bait design for DNA enrichment.Bioinformatics (Oxford, England) · 2022Article
- Accurate long-read sequencing allows assembly of the duplicated RHD and RHCE genes harboring variants relevant to blood transfusion.American journal of human genetics · 2022Article
- FISH Going Meso-Scale: A Microscopic Search for Chromatin Domains.Frontiers in cell and developmental biology · 2021Review
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Authors and funding
12 authors at 6 institutions in 1 country.
Funding
Abstract
summaryA number of methods have been devised to address the need for targeted genomic resequencing. One of these methods, region-specific extraction (RSE) 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 appropriate capture oligos for targeting a region of interest, satisfying the properties of temperature (Tm) and entropy (ΔG), while minimizing the formation of primer-dimers in a pooled experiment, is therefore necessary. Manual design and selection of oligos becomes very challenging, 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 used to target and capture 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 array processes. AnthOligo was tested by capturing the Major Histocompatibility Complex (MHC) of a random sample.The application provides users with a simple interface to upload an input file in BED format and customize parameters for each task. 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. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
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