Evidence map›Paper›PMID 23444904›Full record

ArticleBMC bioinformatics2013

BOND: Basic OligoNucleotide Design.

Lucian Ilie, Hamid Mohamadi, Geoffrey Brian Golding, William F Smyth

Abstract read
In one paragraph

Article in BMC bioinformatics, 2013. 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
–field-weighted citation impact
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.

  1. Article
  2. Article
  3. Mismatch-tolerant, alignment-free sequence classification using multiple spaced seeds and multiindex Bloom filters.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  4. Article
  5. Article
  6. Article
  7. A coverage criterion for spaced seeds and its applications to support vector machine string kernels and k-mer distances.Journal of computational biology : a journal of computational molecular cell biology · 2014
    Article
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

4 authors.

Lucian IlieDepartment of Computer Science, University of Western Ontario, London, ON, Canada. ilie@csd.uwo.ca
Hamid Mohamadi
Geoffrey Brian Golding
William F Smyth

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDNA microarrays have become ubiquitous in biological and medical research. The most difficult problem that needs to be solved is the design of DNA oligonucleotides that (i) are highly specific, that is, bind only to the intended target, (ii) cover the highest possible number of genes, that is, all genes that allow such unique regions, and (iii) are computed fast. None of the existing programs meet all these criteria.

resultsWe introduce a new approach with our software program BOND (Basic OligoNucleotide Design). According to Kane's criteria for oligo design, BOND computes highly specific DNA oligonucleotides, for all the genes that admit unique probes, while running orders of magnitude faster than the existing programs. The same approach enables us to introduce also an evaluation procedure that correctly measures the quality of the oligonucleotides. Extensive comparison is performed to prove our claims. BOND is flexible, easy to use, requires no additional software, and is freely available for non-commercial use from http://www.csd.uwo.ca/∼ilie/BOND/.

conclusionsWe provide an improved solution to the important problem of oligonucleotide design, including a thorough evaluation of oligo design programs. We hope BOND will become a useful tool for researchers in biological and medical sciences by making the microarray procedures faster and more accurate.

Indexed as

SoftwareAlgorithmsGenesOligonucleotide Array Sequence AnalysisOligonucleotide ProbesOligonucleotidesOligonucleotide ProbesOligonucleotides

Identifiers

PMID23444904
PMCPMC3648450

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

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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.