Isling: A Tool for Detecting Integration of Wild-Type Viruses and Clinical Vectors

Scott, Suzanne; Hallwirth, Claus V.; Hartkopf, Felix; Grigson, Susanna R.; Jain, Yatish; Alexander, Ian E.; Bauer, Denis; Wilson, Laurence O.W.

doi:10.1016/j.jmb.2021.167408

Cited by 3 publications

(2 citation statements)

References 45 publications

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“… Having a way to simulate integrations is useful when comparing software that detect integrations, by creating a ‘ground truth’ against which outputs can be compared This pipeline has been used to validate software for the detection of viral integrations [6] It may also be useful for researches investigating virus or vector integrations, to compare their results against simulated integrations …”

Section: Value Of the Datamentioning

confidence: 99%

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A bioinformatic pipeline for simulating viral integration data

et al. 2022

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Section: Value Of the Datamentioning

confidence: 99%

“…To illustrate our method, we provide simulated reads, integration locations, as well as the code required to simulate integrations using any virus and host reference. This simulation method was used to investigate the performance of viral integration tools in our research [6] .…”

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A bioinformatic pipeline for simulating viral integration data

et al. 2022

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Gene therapy clinical trials worldwide to 2023—an update

Ginn,

Mandwie,

Alexander

et al. 2024

The Journal of Gene Medicine

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To date, 3,900 gene therapy clinical trials have been completed, are ongoing or have been approved worldwide. Our database brings together global information on gene therapy clinical activity from trial databases, official agency sources, published literature, conference presentations and posters kindly provided to us by individual investigators or trial sponsors. This review presents our analysis of clinical trials that, to the best of our knowledge, have been or are being performed worldwide. As of our March 2023 update, we have entries on 3,900 trials undertaken in 46 countries. We have analyzed the geographical distribution of trials, the disease indications (or other reasons) for trials, the proportions to which different vector types are used, and which genes have been transferred. Details of the analyses presented, and our searchable database are on The Journal of Gene Medicine Gene Therapy Clinical Trials Worldwide website at https://a873679.fmphost.com/fmi/webd/GTCT. We also provide an overview of the progress being made around the world, and discuss key trends since the previous review, namely the unprecedented increase in gene therapy clinical trial activity, including the implementation of genome editing technology with the potential to transform the field moving forward.

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