PT  - JOURNAL ARTICLE
AU  - Fabrizio Menardo
AU  - Chloé Loiseau
AU  - Daniela Brites
AU  - Mireia Coscolla
AU  - Sebastian M. Gygli
AU  - Liliana K. Rutaihwa
AU  - Andrej Trauner
AU  - Christian Beisel
AU  - Sonia Borrell
AU  - Sebastien Gagneux
TI  - Treemmer: a tool to reduce large phylogenetic datasets with minimal loss of diversity
AID  - 10.1101/249391
DP  - 2018 Jan 01
TA  - bioRxiv
PG  - 249391
4099  - http://biorxiv.org/content/early/2018/01/19/249391.short
4100  - http://biorxiv.org/content/early/2018/01/19/249391.full
AB  - Large sequence datasets are difficult to visualize and handle. Additionally, they are often not an adequate representation of the natural diversity, but the result of uncoordinated and convenience sampling. Consequently, they can suffer from redundancy and sampling biases. Here we present Treemmer, a simple tool to evaluate the redundancy of phylogenetic trees and reduce their complexity by eliminating leaves that contribute the least to the tree diversity.Treemmer can reduce the size of datasets with different phylogenetic structures and levels of redundancy while maintaining a sub-sample that is representative of the original diversity.