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Related Concept Videos

RNA-seq03:21

RNA-seq

RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases. 
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while microarray-based...
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...
Genomics02:02

Genomics

Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...
Improving Translational Accuracy02:07

Improving Translational Accuracy

Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...
Next-generation Sequencing03:00

Next-generation Sequencing

The first human genome sequencing project cost $2.7 billion and was declared complete in 2003, after 15 years of international cooperation and collaboration between several research teams and funding agencies. Today, with the advent of next-generation sequencing technologies, the cost and time of sequencing a human genome have dropped over 100 fold.
Next-Generation Sequencing Methods
Although all next-generation methods use different technologies, they all share a set of standard features.

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Related Experiment Video

Updated: May 7, 2026

Cost-Efficient Transcriptomic-Based Drug Screening
06:40

Cost-Efficient Transcriptomic-Based Drug Screening

Published on: February 23, 2024

Transcriptomics: advances and approaches.

Zhicheng Dong1, Yan Chen

  • 1Key Laboratory of Plant Resources Conservation and Sustainable Utilization, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou, 510650, China, zhicheng_dong@scbg.ac.cn.

Science China. Life Sciences
|October 5, 2013
PubMed
Summary
This summary is machine-generated.

Transcriptomics analyzes RNA transcripts to understand gene expression and function. Advances in high-throughput sequencing enhance our grasp of RNA-based gene regulatory networks.

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Transcriptomic Analysis of C. elegans RNA Sequencing Data Through the Tuxedo Suite on the Galaxy Project
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Area of Science:

  • Molecular Biology
  • Genomics
  • Bioinformatics

Background:

  • Transcriptomics is a key post-genomic field.
  • It studies the complete set of RNA transcripts (transcriptome) in cells or tissues.
  • Includes mRNA, tRNA, rRNA, and non-coding RNAs.

Purpose of the Study:

  • To discuss the concept, history, and recent advances in transcriptomics.
  • To highlight its role in understanding gene expression at the RNA level.
  • To explain its contribution to genome-wide gene structure and function insights.

Main Methods:

  • Transcriptome analysis using next-generation high-throughput sequencing.
  • Investigating gene expression patterns.
  • Analyzing RNA-based gene regulatory networks.

Main Results:

  • Transcriptomics provides genome-wide information on gene structure and function.
  • High-throughput sequencing has significantly improved transcriptome analysis.
  • Enhanced understanding of molecular mechanisms in biological processes.

Conclusions:

  • Transcriptomics is crucial for deciphering complex biological processes.
  • Recent advances are rapidly expanding our knowledge of RNA biology.
  • The field is vital for understanding gene regulation and function.