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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...

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Related Experiment Video

Updated: Jun 1, 2026

Targeted DNA Methylation Analysis by Next-generation Sequencing
08:38

Targeted DNA Methylation Analysis by Next-generation Sequencing

Published on: February 24, 2015

A novel and well-defined benchmarking method for second generation read mapping.

Manuel Holtgrewe1, Anne-Katrin Emde, David Weese

  • 1Department of Computer Science, Free University of Berlin, Takustr, Germany. holtgrewe@inf.fu-berlin.de

BMC Bioinformatics
|May 28, 2011
PubMed
Summary
This summary is machine-generated.

A new benchmark method, Rabema (Read Alignment BEnchMArk), evaluates DNA read mapping tools. This standardized approach allows for the first time a unified comparison of different read mappers for biological applications.

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Enhanced Reduced Representation Bisulfite Sequencing for Assessment of DNA Methylation at Base Pair Resolution

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Area of Science:

  • Genomics
  • Bioinformatics

Background:

  • Second generation sequencing technologies generate ultra high-throughput DNA sequence data.
  • Mapping DNA reads to reference genomes is crucial for most biological applications.
  • Assessing and comparing the quality of read mapping results has been challenging due to a lack of standardized methods.

Purpose of the Study:

  • To introduce a novel benchmark method for evaluating DNA read mappers.
  • To provide a standardized framework for assessing the performance of read alignment tools.
  • To enable objective comparisons between different read mapping approaches.

Main Methods:

  • Development of Rabema (Read Alignment BEnchMArk), a new benchmark method.
  • Establishment of a strict definition for the read mapping problem.
  • Implementation of tools to evaluate read mappers that support the SAM output format.

Main Results:

  • Presentation of the Rabema benchmark method for read mappers.
  • Demonstration of Rabema's utility through a comparative analysis of popular read mapping tools.
  • Availability of benchmark tools under the GPL license.

Conclusions:

  • Rabema provides a formalized and unified approach to assess read mapping quality.
  • The benchmark facilitates objective comparisons, aiding in the selection of optimal read mappers for specific tasks.
  • The developed tools are publicly accessible for broader research use.