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Related Concept Videos

DNA-only Transposons02:57

DNA-only Transposons

DNA-only transposons are called autonomous transposons since they code for the enzyme transposase that is required for the transposition mechanism. Insertion of transposons can alter gene functions in multiple ways. They can mutate the gene, alter gene expression by introducing a novel promoter or insulator sequence, introduce new splice sites, and change the mRNA transcripts produced, or remodel chromatin structure.
The donor site from where the transposon is excised is either degraded or...

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Generating Transposon Insertion Libraries in Gram-Negative Bacteria for High-Throughput Sequencing
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ESSENTIALS: software for rapid analysis of high throughput transposon insertion sequencing data.

Aldert Zomer1, Peter Burghout, Hester J Bootsma

  • 1Laboratory of Pediatric Infectious Diseases, Radboud University Medical Centre, Nijmegen, The Netherlands. a.zomer@cukz.umcn.nl

Plos One
|August 18, 2012
PubMed
Summary

ESSENTIALS is a new open-source software tool that simplifies the analysis of transposon insertion sequencing data for essential gene discovery. It accurately identifies essential genes using various datasets and improves prediction accuracy.

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Area of Science:

  • Genomics
  • Bioinformatics
  • Molecular Biology

Background:

  • High-throughput analysis of genome-wide random transposon mutant libraries is crucial for essential gene discovery.
  • Next-generation sequencing methods like Tn-seq, HITS, and TraDIS map transposon insertions but generate complex datasets.
  • Analyzing these large datasets is challenging due to the lack of user-friendly, automated tools.

Purpose of the Study:

  • To develop an open-source, web-based software tool for analyzing transposon insertion sequencing data.
  • To provide researchers with an automated and user-friendly solution for essential gene discovery.
  • To improve the accuracy and efficiency of identifying (conditionally) essential genes.

Main Methods:

  • Development of ESSENTIALS, an open-source, web-based software tool.
  • Implementation of various data preprocessing, normalization, and statistical analysis methods.
  • Application and validation of ESSENTIALS on Tn-seq, TraDIS, and HITS datasets.

Main Results:

  • ESSENTIALS accurately predicts (conditionally) essential genes.
  • The tool offers flexibility in normalization, bias correction, and statistical testing.
  • Pre- and post-processing steps in ESSENTIALS significantly enhance the sensitivity and specificity of gene essentiality predictions.

Conclusions:

  • ESSENTIALS provides a robust and accessible platform for transposon insertion sequencing data analysis.
  • The software facilitates more accurate and efficient essential gene discovery in genomics research.
  • ESSENTIALS improves the overall performance of essentiality prediction from sequencing data.