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Related Concept Videos

DNA Microarrays02:34

DNA Microarrays

Microarrays are high-throughput and relatively inexpensive assays that can be automated to analyze large quantities of data at a time. They are used in genome-wide studies to compare gene or protein expression under two varied conditions, such as healthy and diseased states. Microarrays consist of glass or silica slides on which probe molecules are covalently attached through surface functionalization. Most commonly, the slides are prepared through the chemisorption of silanes to silica...
MicroRNAs01:22

MicroRNAs

MicroRNA (miRNA) are short, regulatory RNA transcribed from introns (non-coding regions of a gene) or intergenic regions (stretches of DNA present between genes). Several processing steps are required to form biologically active, mature miRNA. The initial transcript, called primary miRNA (pri-mRNA), base-pairs with itself, forming a stem-loop structure. Within the nucleus, an endonuclease enzyme, called Drosha, shortens the stem-loop structure into hairpin-shaped pre-miRNA. After the pre-miRNA...

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Related Experiment Video

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mirMachine: A One-Stop Shop for Plant miRNA Annotation
06:16

mirMachine: A One-Stop Shop for Plant miRNA Annotation

Published on: May 1, 2021

SylArray: a web server for automated detection of miRNA effects from expression data.

Nenad Bartonicek1, Anton J Enright

  • 1EMBL-EBI, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SD, UK.

Bioinformatics (Oxford, England)
|September 28, 2010
PubMed
Summary

SylArray analyzes gene expression data to identify microRNA (miRNA) and siRNA effects. This web tool simplifies the detection of small RNA signatures in large datasets without complex bioinformatics skills.

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Last Updated: Jun 8, 2026

mirMachine: A One-Stop Shop for Plant miRNA Annotation
06:16

mirMachine: A One-Stop Shop for Plant miRNA Annotation

Published on: May 1, 2021

Probe-based Real-time PCR Approaches for Quantitative Measurement of microRNAs
10:28

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Published on: April 14, 2015

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MicroRNA Amplification and Recognition through Locked-nucleic-acid In situ Hybridization as a Novel Detection and Quantification Method

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Area of Science:

  • Bioinformatics
  • Genomics
  • Molecular Biology

Background:

  • Understanding microRNA (miRNA) and small interfering RNA (siRNA) function involves analyzing their impact on genome-wide expression.
  • Current methods often require computational expertise, specific sequence data, or arbitrary gene cutoffs.

Purpose of the Study:

  • To develop a user-friendly web-based resource, SylArray, for analyzing large-scale gene expression datasets.
  • To facilitate the detection of miRNA and siRNA signatures in gene expression profiles.

Main Methods:

  • SylArray accepts a sorted list of genes from expression experiments.
  • It uses curated 3' untranslated region (3'UTR) sequences and the Sylamer algorithm to identify small RNA signatures.
  • Includes an intuitive visualization system for interpreting results.

Main Results:

  • SylArray provides a simplified approach to analyzing gene expression data for small RNA effects.
  • Enables detection of miRNA/siRNA signatures without requiring filtered sequences or arbitrary expression cutoffs.
  • Offers an intuitive interface for visualization and interpretation.

Conclusions:

  • SylArray is a valuable web resource for researchers studying miRNA and siRNA functions.
  • It democratizes the analysis of small RNA effects on gene expression profiles.
  • The tool simplifies complex bioinformatics tasks for a wider scientific audience.