@article{Leshchiner03052012,
author = {Leshchiner, Ignat and Alexa, Kristen and Kelsey, Peter and Adzhubei, Ivan and Austin, Christina and Cooney, Jeffrey and Anderson, Heidi and King, Matthew and Stottmann, Rolf W and Ha, Seungshin and Drummond, Ian and Paw, Barry H. and North, Trista and Beier, David and Goessling, Wolfram and Sunyaev, Shamil}, 
title = {Mutation mapping and identification by whole genome sequencing},
year = {2012}, 
doi = {10.1101/gr.135541.111}, 
elocation-id = {gr.135541.111}, 
abstract ={Genetic mapping of mutations in model systems has facilitated the identification of genes contributing to fundamental biological processes, including human diseases. However, this approach has historically required the prior characterization of informative markers. Here, we report a fast and cost-effective method for genetic mapping using Next Generation Sequencing that combines single nucleotide polymorphism discovery, mutation localization, and potential identification of causal sequence variants. In contrast to prior approaches, we have developed a Hidden Markov Model to narrowly define the mutation area by inferring recombination breakpoints of chromosomes in the mutant pool. In addition, we created an interactive online software resource to facilitate automated analysis of sequencing data and demonstrate its utility in the zebrafish and mouse models. Our novel methodology and online tools will make Next Generation Sequencing an easily applicable resource for mutation mapping in all model systems.}, 
URL = {http://genome.cshlp.org/content/early/2012/06/14/gr.135541.111.abstract}, 
eprint = {http://genome.cshlp.org/content/early/2012/06/14/gr.135541.111.full.pdf+html}, 
journal = {Genome Research} 
}