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TSSV: a tool for characterization of complex allelic variants in pure and mixed genomes
Author(s) -
Seyed Yahya Anvar,
Kristiaan J. van der Gaag,
Jaap W. F. van der Heijden,
Marcel H. A. M. Veltrop,
Rolf H. A. M. Vossen,
Rick H. de Leeuw,
Cor Breukel,
Henk P.J. Buermans,
J. Sjef Verbeek,
Peter de Knijff,
Johan T. den Dunnen,
Jeroen F. J. Laros
Publication year - 2014
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btu068
Subject(s) - python (programming language) , computational biology , computer science , genetics , genome , genomics , biology , transcription activator like effector nuclease , genome editing , programming language , gene
Advances in sequencing technologies and computational algorithms have enabled the study of genomic variants to dissect their functional consequence. Despite this unprecedented progress, current tools fail to reliably detect and characterize more complex allelic variants, such as short tandem repeats (STRs). We developed TSSV as an efficient and sensitive tool to specifically profile all allelic variants present in targeted loci. Based on its design, requiring only two short flanking sequences, TSSV can work without the use of a complete reference sequence to reliably profile highly polymorphic, repetitive or uncharacterized regions.

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