GeIST

GeIST identifies and maps DNA integration sites genome-wide at base-pair resolution to analyze insertion events in multiplexed barcoded samples.


Key Features:

  • Genome-wide base-pair resolution mapping: Identifies and maps DNA integration sites across the genome at single-base resolution in multiplexed barcoded samples.
  • High-throughput scaling: Processes and maps millions of integration events from multiplexed samples.
  • Multi-vector support: Detects integrations from murine leukemia virus, adeno-associated virus, Tol2 transposons, and Ac/Ds transposons and can be adapted for other inserted elements.
  • Sequencing and cloning artifact handling: Implements steps to robustly handle sequencing and cloning artifacts common in high-throughput integration assays.
  • Implementation: Uses Bash shell scripting and Perl for processing large integration assay datasets.
  • Version: Version 2.1.0 provides enhanced adaptability for multiple delivery vectors.

Scientific Applications:

  • Insertional mutagenesis screens: Maps integration sites to identify mutagenic insertion events across genomes.
  • Gene and enhancer trap studies: Localizes insertions for gene- and enhancer-trap experiments to link integration sites to genomic features.
  • Gene therapy vector analysis: Characterizes integration site distributions for gene therapy delivery vectors including adeno-associated virus and murine leukemia virus.

Methodology:

Computational implementation combines Bash shell scripting and Perl programming to process large integration assay datasets and address sequencing and cloning artifacts.

Topics

Details

Tool Type:
command-line tool
Operating Systems:
Linux, Windows, Mac
Programming Languages:
Perl
Added:
8/3/2017
Last Updated:
11/25/2024

Operations

Publications

LaFave MC, Varshney GK, Burgess SM. GeIST: a pipeline for mapping integrated DNA elements. Bioinformatics. 2015;31(19):3219-3221. doi:10.1093/bioinformatics/btv350. PMID:26049161. PMCID:PMC4592334.

Documentation

Links