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Updated: Nov 24, 2025

A Bioinformatics Pipeline for Investigating Molecular Evolution and Gene Expression using RNA-seq
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A primer for generating and using transcriptome data and gene sets.

Chad Cockrum1, Kiyomi R Kaneshiro1, Andreas Rechtsteiner1

  • 1Department of Molecular, Cell, and Developmental Biology, University of California Santa Cruz, 1156 High Street, Santa Cruz, CA 95064, USA.

Development (Cambridge, England)
|December 28, 2020
PubMed
Summary
This summary is machine-generated.

This primer explores transcriptomic methods for analyzing gene expression patterns across tissues and single cells. It covers RNA collection, sequencing data analysis, and identifying tissue-specific genes.

Keywords:
Gene setsResourcesTranscriptomics

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Area of Science:

  • Molecular Biology
  • Genomics
  • Bioinformatics

Background:

  • Transcriptomics offers powerful tools for studying genome-wide gene expression patterns.
  • Advancements in technology allow for detailed analysis of transcript abundance in specific tissues and single cells.

Purpose of the Study:

  • To discuss methods for collecting and profiling RNA from specific biological samples.
  • To explain the processing and analysis of high-throughput RNA sequencing data.
  • To define strategies for identifying gene sets representing tissue-enriched or tissue-specific expression.

Main Methods:

  • RNA collection and profiling from targeted tissues or single cells.
  • High-throughput RNA sequencing data processing and analysis pipelines.
  • Bioinformatic approaches for gene set definition and categorization.

Main Results:

  • Established methodologies for comprehensive transcriptomic analysis.
  • Framework for accurate identification of tissue-specific gene expression profiles.
  • Insights into the application of transcriptomics for cell and tissue characterization.

Conclusions:

  • Transcriptomic techniques are essential for understanding gene expression at a granular level.
  • This primer provides a guide to leveraging these methods for biological discovery.
  • Accurate analysis enables the identification of genes critical to specific cellular functions and tissue identities.