Simon A Berger1, Alexandros Stamatakis. 1. The Exelixis Lab, Scientific Computing Group, Heidelberg Institute for Theoretical Studies, D-69118 Heidelberg, Germany. simon.berger@h-its.org
Abstract
MOTIVATION: Likelihood-based methods for placing short read sequences from metagenomic samples into reference phylogenies have been recently introduced. At present, it is unclear how to align those reads with respect to the reference alignment that was deployed to infer the reference phylogeny. Moreover, the adaptability of such alignment methods with respect to the underlying reference alignment strategies/philosophies has not been explored. It has also not been assessed if the reference phylogeny can be deployed in conjunction with the reference alignment to improve alignment accuracy in this context. RESULTS: We assess different strategies for short read alignment and propose a novel phylogeny-aware alignment procedure. Our alignment method can improve the accuracy of subsequent phylogenetic placement of the reads into a reference phylogeny by up to 5.8 times compared with phylogeny-agnostic methods. It can be deployed to align reads to alignments generated by using fundamentally different alignment strategies (e.g. PRANK(+F) versus MUSCLE). AVAILABILITY: http://www.exelixis-lab.org/software.html
MOTIVATION: Likelihood-based methods for placing short read sequences from metagenomic samples into reference phylogenies have been recently introduced. At present, it is unclear how to align those reads with respect to the reference alignment that was deployed to infer the reference phylogeny. Moreover, the adaptability of such alignment methods with respect to the underlying reference alignment strategies/philosophies has not been explored. It has also not been assessed if the reference phylogeny can be deployed in conjunction with the reference alignment to improve alignment accuracy in this context. RESULTS: We assess different strategies for short read alignment and propose a novel phylogeny-aware alignment procedure. Our alignment method can improve the accuracy of subsequent phylogenetic placement of the reads into a reference phylogeny by up to 5.8 times compared with phylogeny-agnostic methods. It can be deployed to align reads to alignments generated by using fundamentally different alignment strategies (e.g. PRANK(+F) versus MUSCLE). AVAILABILITY: http://www.exelixis-lab.org/software.html
Authors: Robert Lücking; James D Lawrey; Patrick M Gillevet; Masoumeh Sikaroodi; Manuela Dal-Forno; Simon A Berger Journal: J Mol Evol Date: 2013-12-17 Impact factor: 2.395
Authors: Shinichi Sunagawa; Daniel R Mende; Georg Zeller; Fernando Izquierdo-Carrasco; Simon A Berger; Jens Roat Kultima; Luis Pedro Coelho; Manimozhiyan Arumugam; Julien Tap; Henrik Bjørn Nielsen; Simon Rasmussen; Søren Brunak; Oluf Pedersen; Francisco Guarner; Willem M de Vos; Jun Wang; Junhua Li; Joël Doré; S Dusko Ehrlich; Alexandros Stamatakis; Peer Bork Journal: Nat Methods Date: 2013-10-20 Impact factor: 28.547
Authors: Mikkel Winther Pedersen; Søren Overballe-Petersen; Luca Ermini; Clio Der Sarkissian; James Haile; Micaela Hellstrom; Johan Spens; Philip Francis Thomsen; Kristine Bohmann; Enrico Cappellini; Ida Bærholm Schnell; Nathan A Wales; Christian Carøe; Paula F Campos; Astrid M Z Schmidt; M Thomas P Gilbert; Anders J Hansen; Ludovic Orlando; Eske Willerslev Journal: Philos Trans R Soc Lond B Biol Sci Date: 2015-01-19 Impact factor: 6.237