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Updated: Apr 12, 2026

Rare Event Detection Using Error-corrected DNA and RNA Sequencing

Rare Event Detection Using Error-corrected DNA and RNA Sequencing

Published on: August 3, 2018

IMSEQ--a fast and error aware approach to immunogenetic sequence analysis.

Leon Kuchenbecker¹, Mikalai Nienen², Jochen Hecht³

¹Berlin-Brandenburg Center for Regenerative Therapies, Charité Universitätsmedizin, Berlin, Department of Computer Science, Freie Universität, Berlin, Max Planck Institute for Molecular Genetics, Ihnestrasse 63-73, 14195 Berlin, Germany, Goodman Faculty of Life Sciences, Bar-Ilan University, Ramat Gan, Israel, Marien Hospital Herne, Ruhr University Bochum, Bochum and Institute of Medical Genetics and Human Genetics, Charité Universitätsmedizin Berlin, Berlin, Germany Berlin-Brandenburg Center for Regenerative Therapies, Charité Universitätsmedizin, Berlin, Department of Computer Science, Freie Universität, Berlin, Max Planck Institute for Molecular Genetics, Ihnestrasse 63-73, 14195 Berlin, Germany, Goodman Faculty of Life Sciences, Bar-Ilan University, Ramat Gan, Israel, Marien Hospital Herne, Ruhr University Bochum, Bochum and Institute of Medical Genetics and Human Genetics, Charité Universitätsmedizin Berlin, Berlin, Germany Berlin-Brandenburg Center for Regenerative Therapies, Charité Universitätsmedizin, Berlin, Department of Computer Science, Freie Universität, Berlin, Max Planck Institute for Molecular Genetics, Ihnestrasse 63-73, 14195 Berlin, Germany, Goodman Faculty of Life Sciences, Bar-Ilan University, Ramat Gan, Israel, Marien Hospital Herne, Ruhr University Bochum, Bochum and Institute of Medical Genetics and Human Genetics, Charité Universitätsmedizin Berlin, Berlin, Germany.

Bioinformatics (Oxford, England)

|May 20, 2015

Summary

This summary is machine-generated.

IMSEQ is a new method for analyzing T- and B-cell receptor repertoires from next-generation sequencing data. It accurately assigns clonotypes and corrects errors, outperforming existing tools in speed and performance.

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Area of Science:

Immunology
Bioinformatics
Genomics

Background:

Next-generation sequencing (NGS) is crucial for studying T- and B-cell receptor repertoires.
Accurate clonotype assignment and analysis of V/J gene segments and CDR3 sequences are essential.
Existing tools have limitations in performance, accuracy, and algorithmic transparency.

Purpose of the Study:

To develop an advanced method for clonotype repertoire analysis from NGS data.
To address the limitations of current tools in terms of performance and accuracy.

Main Methods:

IMSEQ employs sophisticated algorithms for error handling from PCR and sequencing.
The method supports various input data types from single- or paired-end sequencing.
IMSEQ is designed to be species and gene agnostic.

Main Results:

IMSEQ demonstrates superior clonotyping accuracy compared to existing tools.
The method excels in standalone error correction capabilities.
IMSEQ offers improved runtime performance for repertoire analysis.

Conclusions:

IMSEQ provides a robust and efficient solution for T- and B-cell receptor repertoire analysis.
The tool's accuracy and performance make it a valuable asset for immunological and genomic research.