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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: May 8, 2026

Rapid Setup of Tissue Microarray and Tiled Area Imaging on the Multiplexed Ion Beam Imaging Microscope Using the Tile/SED/Array Interface
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Mapping genomic features of tiling microarray data by TileMapper.

Hoi-Hung Cheung1, Janek Claus, Sumeeta Singh

  • 1Laboratory of Clinical and Developmental Genomics, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD, USA.

Methods in Molecular Biology (Clifton, N.J.)
|August 27, 2013
PubMed
Summary
This summary is machine-generated.

Genomics data analysis is challenging for biologists. TileMapper offers a user-friendly protocol for rapid annotation of genomic coordinates, simplifying analysis of large-scale biological data without computational expertise.

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Area of Science:

  • Genomics
  • Bioinformatics
  • Computational Biology

Background:

  • Genomics techniques enable whole-genome analysis of sequence features and variations.
  • High-resolution genomic data present analysis challenges for experimental biologists.
  • Conventional genome browsers lack user-friendly data mining capabilities.

Purpose of the Study:

  • To present a protocol for rapid annotation of genomic coordinate data.
  • To enable analysis of large-scale genomic data without requiring computational skills.
  • To facilitate the use of diverse genomic datasets, including transcriptome, ChIP-seq, and MeDIP studies.

Main Methods:

  • Development and application of the TileMapper protocol.
  • Annotation of genomic coordinates using TileMapper.
  • Processing of data from tiling microarrays and other platforms.

Main Results:

  • TileMapper allows rapid annotation of genomic coordinate data.
  • Biological annotations from large-scale genomic studies can be analyzed easily.
  • Outputs are generated in a tabulated format for flexible processing.

Conclusions:

  • TileMapper provides a user-friendly solution for analyzing complex genomic data.
  • The protocol empowers experimental biologists to interpret large-scale genomic datasets.
  • Tabulated outputs facilitate downstream analysis and integration with other pipelines.