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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...
Ribosome Profiling02:24

Ribosome Profiling

Ribosome profiling or ribo-sequencing is a deep sequencing technique that produces a snapshot of active translation in a cell. It selectively sequences the mRNAs protected by ribosomes to get an insight into a cell’s translation landscape at any given point in time.
Applications of ribosome profiling
Ribosome profiling has many applications, including in vivo monitoring of translation inside a particular organ or tissue type and quantifying new protein synthesis levels.
The technique helps...

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Related Experiment Video

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Analyzing Tumor Gene Expression Factors with the CorExplorer Web Portal
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Published on: October 11, 2019

Web-based interrogation of gene expression signatures using EXALT.

Jun Wu1, Qingchao Qiu, Lu Xie

  • 1Department of Medicine, Vanderbilt University, Nashville, TN 37232-0275, USA.

BMC Bioinformatics
|December 17, 2009
PubMed
Summary
This summary is machine-generated.

The EXALT online program facilitates meta-analysis of gene expression data from public databases, enabling researchers to discover relationships among transcriptional profiles across various conditions.

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Area of Science:

  • Genomics
  • Bioinformatics

Background:

  • High-throughput techniques like microarrays generate vast amounts of gene expression data.
  • Integrating and exploring these complex, heterogeneous datasets presents a significant challenge for researchers.

Purpose of the Study:

  • To introduce the EXALT (EXpression signature AnaLysis Tool) online program.
  • To provide a tool for meta-analysis of gene expression profiles from public repositories.

Main Methods:

  • EXALT enables online searches against large databases (GEO, human cancer profiles) containing over 28,000 gene expression signatures.
  • It supports homology and co-expression analyses for comparing gene expression signatures.
  • Results are visualized instantly using plots or heat maps.

Main Results:

  • The EXALT program allows for efficient meta-analysis of gene expression data.
  • It facilitates the comparison and visualization of gene expression signatures.
  • Demonstrated utility through three typical use cases.

Conclusions:

  • EXALT is uniquely suited for uncovering relationships within transcriptional profiles.
  • It aids in searching gene expression patterns across diverse physiological and pathological settings.
  • The EXALT program is freely accessible for non-commercial use.