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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...

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Related Experiment Video

Updated: Jun 4, 2026

Multiplexed Analysis of Retinal Gene Expression and Chromatin Accessibility Using scRNA-Seq and scATAC-Seq
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Multiplexed Analysis of Retinal Gene Expression and Chromatin Accessibility Using scRNA-Seq and scATAC-Seq

Published on: March 12, 2021

Mayday SeaSight: combined analysis of deep sequencing and microarray data.

Florian Battke1, Kay Nieselt

  • 1Center for Bioinformatics, University of Tübingen, Tübingen, Germany. battke@informatik.uni-tuebingen.de

Plos One
|February 10, 2011
PubMed
Summary

Mayday SeaSight integrates deep sequencing and microarray data for comprehensive systems biology analysis. This extension enables unified analysis of diverse transcriptomic datasets, enhancing biological insights.

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Targeted DNA Methylation Analysis by Next-generation Sequencing
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Multiplexed Analysis of Retinal Gene Expression and Chromatin Accessibility Using scRNA-Seq and scATAC-Seq
06:24

Multiplexed Analysis of Retinal Gene Expression and Chromatin Accessibility Using scRNA-Seq and scATAC-Seq

Published on: March 12, 2021

Targeted DNA Methylation Analysis by Next-generation Sequencing
08:38

Targeted DNA Methylation Analysis by Next-generation Sequencing

Published on: February 24, 2015

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics

Background:

  • Deep sequencing technologies provide high-throughput quantification of gene expression, epigenetic modifications, and DNA-protein binding.
  • Deep sequencing data presents computational challenges distinct from established microarray technology.
  • Integrated analysis of data from diverse platforms is crucial for advancing systems biology studies.

Purpose of the Study:

  • To present Mayday SeaSight, an extension for the Mayday platform.
  • To enable the integration of data from deep sequencing and microarray technologies.
  • To facilitate the combined analysis of transcriptomic datasets from multiple platforms.

Main Methods:

  • Mayday SeaSight computes expression values from mapped reads and raw microarray data.
  • The extension incorporates background correction and normalization methods.
  • Mayday SeaSight links microarray probes to genomic coordinates.

Main Results:

  • Mayday SeaSight successfully integrates data from deep sequencing and microarrays.
  • Users can now apply Mayday's analytical methods to sequencing data.
  • Combined analysis of data from different technologies is achievable within the Mayday platform.

Conclusions:

  • Mayday SeaSight enhances Mayday's capabilities by incorporating deep sequencing data analysis.
  • The extension facilitates a more comprehensive understanding of biological systems through integrated data analysis.
  • Mayday SeaSight supports advanced systems biology research by unifying diverse transcriptomic data.