NAME

phylonium - rapidly estimate evolutionary distances

SYNOPSIS

phylonium [OPTIONS...] FILES...

DESCRIPTION

phylonium estimates the evolutionary distance between closely related genomes. For this phylonium reads the input sequences from FASTA files and computes the pairwise evolutionary distance. All sequences in one file are considered to be contigs of the same genome.

OUTPUT

The output is a symmetrical distance matrix in PHYLIP format, with each entry representing divergence with a positive, real number. A distance of zero means that two sequences are identical, whereas other values are estimates for the nucleotide substitution rate (Jukes-Cantor corrected). For technical reasons the comparison might fail and no estimate can be computed. In such cases nan is printed. This either means that the input sequences were too short (<200bp) or too diverse (K>0.5) for our method to work properly.

OPTIONS

-2, --2pass

After a first run a 'central' sequence is chosen as reference for the second pass. This improves the accuracy when the first reference is an outgroup.

-b INT, --bootstrap=INT

Compute multiple distance matrices, with n-1 bootstrapped from the first. See the paper Klötzl & Haubold (2016) for a detailed explanation.

-r FILE

Define the reference sequence.

-t INT, --threads=INT

The number of threads to be used; by default, all available processors are used.
Multithreading is only available if phylonium was compiled with OpenMP support.

-v, --verbose

Prints additional information, including the amount of found homology. Apply multiple times for extra verboseness.

-h, --help

Prints the synopsis and an explanation of available options.

--version

Outputs version information and acknowledgments.

COPYRIGHT

Copyright © 2017 - 2020 Fabian Klötzl License GPLv3+: GNU GPL version 3 or later.
This is free software: you are free to change and redistribute it. There is NO WARRANTY, to the extent permitted by law. The full license text is available at <http://gnu.org/licenses/gpl.html>.

ACKNOWLEDGMENTS

1) Algorithms: Ohlebusch, E. (2013). Bioinformatics Algorithms. Sequence Analysis, Genome Rearrangements, and Phylogenetic Reconstruction. pp 118f.
2) SA construction: Mori, Y. (2005). Short description of improved two-stage suffix sorting algorithm.
3) Bootstrapping: Klötzl, F. and Haubold, B. (2016). Support Values for Genome Phylogenies 4) Phylonium: Klötzl, F. and Haubold, B. (2020). Phylonium: Fast Estimation of Evolutionary Distances from Large Samples of Similar Genomes

BUGS