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What is Gene Expression?01:42

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Gene expression is the process in which DNA directs the synthesis of functional products, that is, proteins. Cells can regulate gene expression at various stages. It allows organisms to generate different cell types and enables cells to adapt to internal and external factors.
Genetic Information Flows from DNA to RNA to Protein
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A gene is a stretch of DNA that serves as the blueprint for functional RNAs and proteins. Since DNA is comprised  of nucleotides and proteins are comprised of amino acids, a mediator is required to convert the information encoded in DNA into proteins. This mediator is the messenger RNA (mRNA). mRNA copies the blueprint from DNA by a process called transcription. In eukaryotes, transcription occurs in the nucleus by complementary base-pairing with the DNA template. The mRNA is then...
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GESearch: An Interactive GUI Tool for Identifying Gene Expression Signature.

Ning Ye1, Hengfu Yin2, Jingjing Liu3

  • 1The Southern Modern Forestry Collaborative Innovation Center, Nanjing Forestry University, Nanjing 210037, China ; College of Information Science and Technology, Nanjing Forestry University, Nanjing 210037, China.

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Analyzing gene expression data requires effective algorithms. GESearch is a user-friendly toolkit offering multiple models to identify coexpressed genes from microarray and next-generation sequencing data.

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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics

Background:

  • Vast amounts of gene expression data from microarray and next-generation sequencing present challenges for biological interpretation.
  • Identifying coexpressed genes is crucial for understanding gene function, but data mining is algorithm-dependent.

Purpose of the Study:

  • To develop an interactive graphical user interface (GUI) toolkit, GESearch, for analyzing gene expression signatures.
  • To provide users with multiple algorithmic options for coexpressed gene identification.

Main Methods:

  • Developed GESearch, a MATLAB-based GUI toolkit supporting diverse gene expression data formats.
  • Integrated four distinct coexpression models: mean, regression, delegate, and ensemble.
  • Enabled data filtering and gene expression pattern selection via browsing or knowledge-based gene import.

Main Results:

  • GESearch facilitates the exploration of gene expression signatures through multiple analytical models.
  • The toolkit's utility was validated using two real-world microarray datasets from cell-cycle experiments.
  • Demonstrated the effectiveness of GESearch in identifying coexpressed genes.

Conclusions:

  • GESearch offers a versatile and user-friendly platform for analyzing gene expression data.
  • The toolkit empowers researchers to select and apply multiple algorithms for exploring gene coexpression patterns.
  • Facilitates deeper biological insights from large-scale gene expression datasets.