GeIST: a pipeline for mapping integrated DNA elements.
basic_science · Level V
Where this comes from
- Record sourced from PubMed, PMID 26049161.
- Also identified by DOI 10.1093/bioinformatics/btv350 and PMC identifier 4592334.
- No licence information is recorded for this record.
- Because redistribution is not established, this page shows the abstract only. Follow the links below for the full text.
Abstract
There are several experimental contexts in which it is important to identify DNA integration sites, such as insertional mutagenesis screens, gene and enhancer trap applications, and gene therapy. We previously developed an assay to identify millions of integrations in multiplexed barcoded samples at base-pair resolution. The sheer amount of data produced by this approach makes the mapping of individual sites non-trivial without bioinformatics support. This article presents the Genomic Integration Site Tracker (GeIST), a command-line pipeline designed to map the integration sites produced by this assay and identify the samples from which they came. GeIST version 2.1.0, a more adaptable version of our original pipeline, can identify integrations of murine leukemia virus, adeno-associated virus, Tol2 transposons or Ac/Ds transposons, and can be adapted for other inserted elements. It has been tested on experimental data for each of these delivery vectors and fine-tuned to account for sequencing and cloning artifacts. GeIST uses a combination of Bash shell scripting and Perl. GeIST is available at http://research.nhgri.nih.gov/software/GeIST/. burgess@mail.nih.gov.
Medical subject headings
- Chromosome Mapping
- Computational Biology
- DNA Transposable Elements
- Dependovirus
- Genomics
- Leukemia Virus, Murine
- Mutagenesis, Insertional