Treemmer: a tool to reduce large phylogenetic datasets with minimal loss of diversity

Treemmer: a tool to reduce large phylogenetic datasets with minimal loss of diversity

Abstract Background Large sequence datasets are difficult to visualize and handle. Additionally, they often do not represent a random subset of the natural diversity, but the result of uncoordinated and convenience sampling. Consequently, they can suffer from redundancy and sampling biases. Results...

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Bibliographic Details
Main Authors: Fabrizio Menardo, Chloé Loiseau, Daniela Brites, Mireia Coscolla, Sebastian M. Gygli, Liliana K. Rutaihwa, Andrej Trauner, Christian Beisel, Sonia Borrell, Sebastien Gagneux
Format: Article
Language:English
Published: BMC 2018-05-01
Series:BMC Bioinformatics
Subjects:
Representative sample
Large phylogenetic trees
Redundancy reduction
Size reduction
Sampling bias
Clone elimination
Online Access:http://link.springer.com/article/10.1186/s12859-018-2164-8

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