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Title:

Transmicron: accurate prediction of insertion probabilities improves detection of cancer driver genes from transposon mutagenesis screens.

Document type:
Journal Article; Research Support, Non-U.S. Gov't
Author(s):
Bredthauer, Carl; Fischer, Anja; Ahari, Ata Jadid; Cao, Xueqi; Weber, Julia; Rad, Lena; Rad, Roland; Wachutka, Leonhard; Gagneur, Julien
Abstract:
Transposon screens are powerful in vivo assays used to identify loci driving carcinogenesis. These loci are identified as Common Insertion Sites (CISs), i.e. regions with more transposon insertions than expected by chance. However, the identification of CISs is affected by biases in the insertion behaviour of transposon systems. Here, we introduce Transmicron, a novel method that differs from previous methods by (i) modelling neutral insertion rates based on chromatin accessibility, transcriptio...     »
Journal title abbreviation:
Nucleic Acids Res
Year:
2023
Journal volume:
51
Journal issue:
4
Fulltext / DOI:
doi:10.1093/nar/gkac1215
Pubmed ID:
http://view.ncbi.nlm.nih.gov/pubmed/36617985
Print-ISSN:
0305-1048
TUM Institution:
Professur für Molekulare Onkologie und Funktionelle Genomik (Prof. Rad)
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