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BioMed Central, Genome Biology, 12(15), 2014

DOI: 10.1186/s13059-014-0555-3

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Determining the quality and complexity of next-generation sequencing data without a reference genome

Journal article published in 2014 by Seyed Yahya Anvar, Martijn Vermaat, Michiel van Galen, Irina Pulyakhina, Ken Kraaijeveld, Lusine Khachatryan ORCID, Johan T. den Dunnen, Yavuz Ariyurek, Peter de Knijff ORCID, Peter Ac ’t Hoen, Jeroen Fj Laros, Peter AC ’t Hoen
This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

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Abstract

Abstract We describe an open-source kPAL package that facilitates an alignment-free assessment of the quality and comparability of sequencing datasets by analyzing k -mer frequencies. We show that kPAL can detect technical artefacts such as high duplication rates, library chimeras, contamination and differences in library preparation protocols. kPAL also successfully captures the complexity and diversity of microbiomes and provides a powerful means to study changes in microbial communities. Together, these features make kPAL an attractive and broadly applicable tool to determine the quality and comparability of sequence libraries even in the absence of a reference sequence. kPAL is freely available at https://github.com/LUMC/kPAL .