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Related Concept Videos

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.
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...
Sanger Sequencing01:57

Sanger Sequencing

DNA sequencing is a fundamental technique that is routinely used in the biological sciences. This method can be applied to a range of questions at different scales - from the sequencing of a cloned DNA fragment or the study of a mutation in a gene up to whole-genome sequencing. However, despite the widespread use of sequencing today, it was not until 1977 that Fredrick Sanger and his collaborators developed the chain-termination method to decode DNA sequences. It relies on the separation of a...

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Related Experiment Video

Updated: May 20, 2026

T and B Cell Receptor Immune Repertoire Analysis using Next-generation Sequencing
08:59

T and B Cell Receptor Immune Repertoire Analysis using Next-generation Sequencing

Published on: January 12, 2021

Next generation sequencing for TCR repertoire profiling: platform-specific features and correction algorithms.

Dmitry A Bolotin1, Ilgar Z Mamedov, Olga V Britanova

  • 1Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry RAS, Moscow, Russia.

European Journal of Immunology
|July 19, 2012
PubMed
Summary

Next-generation sequencing (NGS) of T-cell receptor (TCR) repertoires is prone to errors. This study introduces advanced algorithms to correct sequencing data, improving the accuracy of TCR profiling and diversity measurements.

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Last Updated: May 20, 2026

T and B Cell Receptor Immune Repertoire Analysis using Next-generation Sequencing
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Published on: August 3, 2018

Area of Science:

  • Immunology
  • Genomics
  • Bioinformatics

Background:

  • The T-cell receptor (TCR) repertoire reflects immune system status, impacted by infections, cancer, autoimmunity, and aging.
  • Next-generation sequencing (NGS) offers deep TCR profiling but faces challenges in sample preparation and data interpretation.
  • PCR and sequencing errors, library preparation issues, and PCR inefficiencies introduce artificial diversity and bias in TCR data.

Purpose of the Study:

  • To compare Illumina, 454, and Ion Torrent platforms for individual TCR profiling.
  • To evaluate the rate and types of errors generated during TCR sequencing.
  • To develop and propose advanced, platform-specific algorithms for correcting massive TCR sequencing data.

Main Methods:

  • Comparative analysis of TCR profiling across Illumina, 454, and Ion Torrent platforms.
  • Assessment of error rates and characteristics in sequencing data.
  • Development of advanced algorithms for error correction in NGS TCR data.

Main Results:

  • Identified and characterized errors from different NGS platforms during TCR profiling.
  • Developed platform-specific algorithms to correct massive TCR sequencing data.
  • Demonstrated that advanced correction effectively removes artificial TCR diversity and rescues sequencing information.

Conclusions:

  • Advanced data correction significantly enhances the accuracy of TCR clonotype identification and quantification.
  • The developed correction methods improve overall TCR diversity measurements.
  • These advancements are broadly applicable to various NGS applications beyond TCR profiling.