Evidence map›Paper›PMID 32484858›Full record

ArticleBioinformatics (Oxford, England)2020

AnthOligo: automating the design of oligonucleotides for capture/enrichment technologies.

Pushkala Jayaraman, Timothy Mosbruger, Taishan Hu, Nikolaos G Tairis, Chao Wu, Peter M Clark, Monica D'Arcy, Deborah Ferriola, Katarzyna Mackiewicz, Xiaowu Gai and 2 more

Open access · bronzeAbstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.3field-weighted citation impact, top 43% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
  2. OLTA: Optimizing bait seLection for TArgeted sequencing.Bioinformatics (Oxford, England) · 2025
    Article
  3. Article
  4. Article
  5. Syotti: scalable bait design for DNA enrichment.Bioinformatics (Oxford, England) · 2022
    Article
  6. Article
  7. FISH Going Meso-Scale: A Microscopic Search for Chromatin Domains.Frontiers in cell and developmental biology · 2021
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 6 institutions in 1 country.

Pushkala JayaramanDepartment of Pathology and Laboratory Medicine.
Timothy MosbrugerDepartment of Pathology and Laboratory Medicine.
Taishan HuDepartment of Pathology and Laboratory Medicine.
Nikolaos G TairisDepartment of Pathology and Laboratory Medicine.
Chao WuDepartment of Biomedical Health & Informatics, The Children's Hospitals of Philadelphia, Philadelphia, PA, USA.
Peter M ClarkDepartment of Research & Development, The Janssen Pharmaceutical Companies of Johnson & Johnson, Raritan, NJ, USA.
Monica D'ArcyDepartment of Epidemiology, University of North Carolina, Chapel Hill, NC, USA.
Deborah FerriolaDepartment of Pathology and Laboratory Medicine.
Katarzyna MackiewiczDepartment of Biochemistry and Molecular Biology, Medical University of South Carolina, Charleston, SC, USA.
Xiaowu GaiDepartment of Pathology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
Dimitrios MonosDepartment of Pathology and Laboratory Medicine.
Mahdi SarmadyDepartment of Pathology and Laboratory Medicine.
University of Pennsylvania · USChildren's Hospital of Philadelphia · USJohnson & Johnson (United States) · USMedical University of South Carolina · USUniversity of North Carolina at Chapel Hill · USUniversity of Southern California · US

Funding

VIRAL VECTOR COREP30DK019525 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI MITCHELL A. LAZAR · 1986 to 2026
$48.3M
NIDDK NIH HHS P30 DK019525
6 · The paper itself

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.

Indexed as

GenomeGenomicsComparative Genomic HybridizationMajor Histocompatibility ComplexOligonucleotidesOligonucleotides

Identifiers

PMID32484858
PMCPMC7520035
OpenAlexW3032627043

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.