Alignment-free phylogenetic reconstruction: Sample complexity via a branching process analysis

We present an efficient phylogenetic reconstruction algorithm allowing insertions and deletions which provably achieves a sequence-length requirement (or sample complexity) growing polynomially in the number of taxa. Our algorithm is distance-based, that is, it relies on pairwise sequence comparison...

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Bibliographic Details
Main Authors: Roch, Sebastien (Author), Daskalakis, Konstantinos (Contributor)
Other Authors: Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor)
Format: Article
Language:English
Published: Institute of Mathematical Statistics, 2015-11-20T18:15:30Z.
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Online Access:Get fulltext
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100 1 0 |a Roch, Sebastien  |e author 
100 1 0 |a Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science  |e contributor 
100 1 0 |a Daskalakis, Konstantinos  |e contributor 
700 1 0 |a Daskalakis, Konstantinos  |e author 
245 0 0 |a Alignment-free phylogenetic reconstruction: Sample complexity via a branching process analysis 
260 |b Institute of Mathematical Statistics,   |c 2015-11-20T18:15:30Z. 
856 |z Get fulltext  |u http://hdl.handle.net/1721.1/99967 
520 |a We present an efficient phylogenetic reconstruction algorithm allowing insertions and deletions which provably achieves a sequence-length requirement (or sample complexity) growing polynomially in the number of taxa. Our algorithm is distance-based, that is, it relies on pairwise sequence comparisons. More importantly, our approach largely bypasses the difficult problem of multiple sequence alignment. 
520 |a Alfred P. Sloan Foundation (Fellowship) 
520 |a National Science Foundation (U.S.) (CAREER Award CCF-0953960) 
520 |a National Science Foundation (U.S.) (Award CCF-1101491) 
546 |a en_US 
655 7 |a Article 
773 |t The Annals of Applied Probability