TY - JOUR T1 - benchNGS : An approach to benchmark short reads alignment tools JF - bioRxiv DO - 10.1101/018234 SP - 018234 AU - Farzana Rahman AU - Mehedi Hassan AU - Alona Kryshchenko AU - Inna Dubchak AU - Nikolai Alexandrov AU - Tatiana V. Tatarinova Y1 - 2015/01/01 UR - http://biorxiv.org/content/early/2015/04/18/018234.abstract N2 - 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. ER -