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Related Concept Videos

Genome Size and the Evolution of New Genes03:21

Genome Size and the Evolution of New Genes

While every living organism has a genome of some kind (be it RNA, or DNA), there is considerable variation in the sizes of these blueprints. One major factor that impacts genome size is whether the organism is prokaryotic or eukaryotic. In prokaryotes, the genome contains little to no non-coding sequence, such that genes are tightly clustered in groups or operons sequentially along the chromosome. Conversely, the genes in eukaryotes are punctuated by long stretches of non-coding sequence.
Protein Networks02:26

Protein Networks

An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...

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Updated: Jun 26, 2026

Transcriptomic Analysis of C. elegans RNA Sequencing Data Through the Tuxedo Suite on the Galaxy Project
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Brain Transcriptome Databases: A User's Guide.

Jason M Keil1,2,3, Adel Qalieh1,2, Kenneth Y Kwan4,2

  • 1Molecular and Behavioral Neuroscience Institute.

The Journal of Neuroscience : the Official Journal of the Society for Neuroscience
|February 14, 2018
PubMed
Summary
This summary is machine-generated.

Scientists can now access publicly available brain transcriptome databases for detailed gene expression insights. These resources aid in understanding brain development, function, and neurological disorders.

Keywords:
RNA-seqdatabasetranscriptome

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Last Updated: Jun 26, 2026

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A Bioinformatics Pipeline for Investigating Molecular Evolution and Gene Expression using RNA-seq
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Published on: May 28, 2021

Area of Science:

  • Neuroscience
  • Genomics
  • Computational Biology

Background:

  • Transcriptional programs orchestrate neural cell diversity, brain region development, and neural circuit function.
  • Understanding gene roles in brain development and disorders requires analyzing gene expression patterns.
  • Advances in sequencing and large-scale genomics projects have yielded comprehensive brain transcriptome datasets.

Purpose of the Study:

  • To highlight key publicly available brain transcriptome databases.
  • To summarize data generation methods and tissue sources.
  • To discuss the utility of these databases for neuroscience research.

Main Methods:

  • Review of publicly accessible brain transcriptome databases.
  • Analysis of data generation methodologies (e.g., sequencing technologies).
  • Evaluation of data characteristics (spatiotemporal, cell type-specific, single-cell precision).

Main Results:

  • A growing collection of high-quality brain transcriptome databases is now available.
  • These databases offer spatiotemporal, cell type-specific, and single-cell resolution data.
  • Many databases feature user-friendly web interfaces for accessibility.

Conclusions:

  • Publicly available brain transcriptome databases are invaluable resources for neuroscience.
  • These databases facilitate research into brain development, function, and disease.
  • Accessibility of these datasets empowers individual scientists without requiring advanced computational skills.