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Optimization of signal-to-noise ratio for efficient microarray probe design

Overview of attention for article published in Bioinformatics, August 2016
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  • Above-average Attention Score compared to outputs of the same age and source (54th percentile)

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Title
Optimization of signal-to-noise ratio for efficient microarray probe design
Published in
Bioinformatics, August 2016
DOI 10.1093/bioinformatics/btw451
Pubmed ID
Authors

Olga V Matveeva, Yury D Nechipurenko, Evgeniy Riabenko, Chikako Ragan, Nafisa N Nazipova, Aleksey Y Ogurtsov, Svetlana A Shabalina

Abstract

Target-specific hybridization depends on oligo-probe characteristics that improve hybridization specificity and minimize genome-wide cross-hybridization. Interplay between specific hybridization and genome-wide cross-hybridization has been insufficiently studied, despite its crucial role in efficient probe design and in data analysis. In this study, we defined hybridization specificity as a ratio between oligo target-specific hybridization and oligo genome-wide cross-hybridization. A microarray database, derived from the Genomic Comparison Hybridization (GCH) experiment and performed using the Affymetrix platform, contains two different types of probes. The first type of oligo-probes does not have a specific target on the genome and their hybridization signals are derived from genome-wide cross-hybridization alone. The second type includes oligonucleotides that have a specific target on the genomic DNA and their signals are derived from specific and cross-hybridization components combined together in a total signal. A comparative analysis of hybridization specificity of oligo-probes, as well as their nucleotide sequences and thermodynamic features was performed on the database. The comparison has revealed that hybridization specificity was negatively affected by low stability of the fully-paired oligo-target duplex, stable probe self-folding, G-rich content, including GGG motifs, low sequence complexity and nucleotide composition symmetry. Filtering out the probes with defined 'negative' characteristics significantly increases specific hybridization and dramatically decreasing genome-wide cross-hybridization. Selected oligo-probes have two times higher hybridization specificity on average, compared to the probes that were filtered from the analysis by applying suggested cutoff thresholds to the described parameters. A new approach for efficient oligo-probe design is described in our study. [email protected] or [email protected] Supplementary data are available at Bioinformatics online.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Russia 1 6%
Unknown 15 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 25%
Student > Bachelor 3 19%
Student > Ph. D. Student 3 19%
Student > Master 2 13%
Professor > Associate Professor 1 6%
Other 1 6%
Unknown 2 13%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 6 38%
Agricultural and Biological Sciences 3 19%
Mathematics 1 6%
Computer Science 1 6%
Medicine and Dentistry 1 6%
Other 2 13%
Unknown 2 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 17 January 2024.
All research outputs
#7,206,686
of 25,377,790 outputs
Outputs from Bioinformatics
#5,945
of 12,809 outputs
Outputs of similar age
#105,187
of 349,075 outputs
Outputs of similar age from Bioinformatics
#87
of 205 outputs
Altmetric has tracked 25,377,790 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 12,809 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one has gotten more attention than average, scoring higher than 52% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 349,075 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.
We're also able to compare this research output to 205 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.