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QuickMap specifications


Unique identifier OMICS_15039
Name QuickMap
Interface Web user interface
Restrictions to use None
Input data Insertion site sequences.
Output data A mapper report, an analyzer report.
Programming languages Java
Database management system MySQL
Computer skills Basic
Stability Stable
Maintained No


  • Primates
    • Homo sapiens
  • Rodents
    • Mus musculus


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Publication for QuickMap

QuickMap citations


VISPA2: a scalable pipeline for high throughput identification and annotation of vector integration sites

BMC Bioinformatics
PMCID: 5702242
PMID: 29178837
DOI: 10.1186/s12859-017-1937-9

[…] PA [], Mavric [], and SeqMap [] (Fig. ). QuickMap [] provided comparable results although false the positives reached 2.4% of the total (see Additional file ) but reached a lower F-score than VISPA2 (QuickMap F-score 0.978, VISPA2 F-score 0.983). The statistical assessment thus showed the performance improvements of VISPA2 in terms of precision and recall. Fig. 4 […]


Analysis of spatial dynamic of epizootic process of bluetongue and its risk factors

PMCID: 5682261
PMID: 29184362
DOI: 10.14202/vetworld.2017.1173-1183

[…] ecasts on the different epizootic indicators in the years 2017-2018 by the extrapolation method.The cartographical spatial dynamic study (cluster analysis) was conducted with Microsoft Excel 2013 and QuickMAP program (geoinformation systems). […]


Prolonged Integration Site Selection of a Lentiviral Vector in the Genome of Human Keratinocytes

PMCID: 5347986
PMID: 28255155
DOI: 10.12659/MSM.903094
call_split See protocol

[…] s were trimmed to remove the linker and viral DNA sequences using the software program Primer Premier 6.0 and mapped onto the human genome (Ens62, Apr 2011, GRCh37.p3/HG19) using the online tool GTSG-QuickMap [], which is a system that can automatically identify genuine integration sites (target set) and calculate the frequencies of integration within or near various genomic features of interest ( […]


GENE IS: Time Efficient and Accurate Analysis of Viral Integration Events in Large Scale Gene Therapy Data

Mol Ther Nucleic Acids
PMCID: 5363413
PMID: 28325279
DOI: 10.1016/j.omtn.2016.12.001

[…] studies, (). The advent of high-throughput sequencing technologies has revolutionized the possibilities of in-depth genome analyses. However, computational tools available for LAM IS analysis, like QuickMap, HISAP, and VISA, have issues with time efficiency and are not offering targeted sequencing IS analysis. Besides, these tools admit a limited set of reference genomes, do not expose multi-thr […]


Murine leukemia virus derived retroviral vector has differential integration patterns in human cell lines used to produce recombinant factor VIII

PMCID: 4109740
PMID: 25031062
DOI: 10.1016/j.bjhh.2014.03.002

[…] in regions of introns. The frequency of retroviral vector insertions in RefSeq genes in HepG2 cells (52%) was higher than the results generated by a set of 10,000 random integrations simulated by the Quickmap program (about 40%). Hek293 cells showed a similar frequency to that expected randomly (44%).For HepG2 cells, of the 38 integrations in RefSeq genes, the gene with the largest number of inser […]


Identification of Hematopoietic Stem Cell Engraftment Genes in Gene Therapy Studies

PMCID: 3875223
PMID: 24383045
DOI: 10.4172/2157-7633.S3-004

[…] a sets that gene therapy trials can provide, the ability to quickly and efficiently analyze the integration profiles sites should help to identify candidate engraftment genes. One such utility is the QuickMap utility provided by the gene therapy safety group (GTSG) []. The QuickMap utility relies on cancer gene lists provided by the Catalogue of Somatic Mutations in Cancer (COSMIC) [] as well as t […]

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QuickMap institution(s)
Department of Transplantation Immunology, University of Heidelberg, Heidelberg, Germany; Research Group Pharmacology of Cancer Treatment, German Cancer Research Center (DKFZ), Heidelberg, Germany; Department of Medical Biometry and Informatics, University of Heidelberg, Heidelberg, Germany; Institute for Medical Informatics, Statistics and Epidemiology (IMISE), University of Leipzig, Leipzig, Germany; HUSAR Bioinformatics Lab, Department of Molecular Biophysics, German Cancer Research Center (DKFZ), Heidelberg, Germany; Department of Experimental Surgery, Medical Faculty Mannheim, University of Heidelberg, Heidelberg, Germany; Department of Molecular Oncology of Solid Tumors Unit, German Cancer Research Center (DKFZ), Heidelberg, Germany; Center for Tumor Diagnostics and Therapy, Paracelsus Hospital, Osnabrueck, Germany
QuickMap funding source(s)
This work was supported by grants FR1732/3-1 and RO3500/1-1 of the Priority Program SPP1230 of the German Research Foundation (Bonn, Germany), the HW & J Hector Foundation (Mannheim, Germany), the Alfried Krupp von Bohlen und Halbach Foundation (Essen, Germany), the Ingrid zu Solms Foundation (Frankfurt, Germany) and the Hella Bühler Foundation (Heidelberg, Germany).

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