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Related Concept Videos

RNA-seq03:21

RNA-seq

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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...
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Next-generation Sequencing03:00

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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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Maxam-Gilbert Sequencing01:05

Maxam-Gilbert Sequencing

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In the same year as the discovery of the Sanger sequencing method, another group of scientists, Allan Maxam and Walter Gilbert, demonstrated their chemical-cleavage method for DNA sequencing. The Maxam-Gilbert method relies on using different chemicals that can cleave the DNA sequence at specific sites, the separation of resulting DNA fragments of variable size using electrophoresis, and deciphering the DNA sequence from the resulting gel bands.
Challenges of the Maxam-Gilbert Method
The...
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Related Experiment Video

Updated: Jan 3, 2026

G2-seq: A High Throughput Sequencing-based Technique for Identifying Late Replicating Regions of the Genome
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Correction to: GASAL2: a GPU accelerated sequence alignment library for high-throughput NGS data.

Nauman Ahmed1, Jonathan Lévy2, Shanshan Ren2

  • 1Delft University of Technology, Delft, Netherlands and University of Engineering and Technology, Lahore, Pakistan. n.ahmed@tudelft.nl.

BMC Bioinformatics
|November 21, 2019
PubMed
Summary
This summary is machine-generated.

This article provides corrected figures for a previously published study. The updated visuals ensure accurate representation of the research data and findings.

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Area of Science:

  • Scientific illustration
  • Data visualization

Context:

  • Corrections to a published scientific article.
  • Ensuring accuracy in research dissemination.

Purpose:

  • To provide updated figures for a scientific publication.
  • To improve the alignment between visual data and textual content.

Summary:

  • The author requested revisions for figures 4, 7, 8, 9, 12, and 14.
  • Corrected figures are now provided to match the article's text.

Impact:

  • Enhances the integrity and clarity of the original research.
  • Facilitates better understanding of the study's findings through accurate visuals.