Alignment-free phylogenetic reconstruction: Sample complexity via a branching process analysis
C Daskalakis, S Roch - 2013 - projecteuclid.org
2013•projecteuclid.org
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.
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.
Abstract
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.