Large-Scale Mapping of Transposable Element Insertion Sites Using Digital Encoding of Sample Identity
Author(s) -
Daryl M. Gohl,
Limor Freifeld,
Marion Silies,
Jennifer J. Hwa,
Mark Horowitz,
Thomas R. Clandinin
Publication year - 2013
Publication title -
genetics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.792
H-Index - 246
eISSN - 1943-2631
pISSN - 0016-6731
DOI - 10.1534/genetics.113.159483
Subject(s) - transposable element , biology , encode , genetics , computational biology , dna sequencing , set (abstract data type) , dna , genome , computer science , gene , programming language
Determining the genomic locations of transposable elements is a common experimental goal. When mapping large collections of transposon insertions, individualized amplification and sequencing is both time consuming and costly. We describe an approach in which large numbers of insertion lines can be simultaneously mapped in a single DNA sequencing reaction by using digital error-correcting codes to encode line identity in a unique set of barcoded pools.
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