PT  - JOURNAL ARTICLE
AU  - Farzana Rahman
AU  - Mehedi Hassan
AU  - Alona Kryshchenko
AU  - Inna Dubchak
AU  - Nikolai Alexandrov
AU  - Tatiana V. Tatarinova
TI  - benchNGS : An approach to benchmark short reads alignment tools
AID  - 10.1101/018234
DP  - 2015 Jan 01
TA  - bioRxiv
PG  - 018234
4099  - http://biorxiv.org/content/early/2015/04/18/018234.short
4100  - http://biorxiv.org/content/early/2015/04/18/018234.full
AB  - In the last decade a number of algorithms and associated software were developed to align next generation sequencing (NGS) reads to relevant reference genomes. The results of these programs may vary significantly, especially when the NGS reads are contain mutations not found in the reference genome. Yet there is no standard way to compare these programs and assess their biological relevance.We propose a benchmark to assess accuracy of the short reads mapping based on the pre-computed global alignment of closely related genome sequences. In this paper we outline the method and also present a short report of an experiment performed on five popular alignment tools.