Multivariate Cutoff Level Analysis (MultiCoLA) of large community data sets.

ABSTRACT: High-throughput sequencing techniques are becoming attractive to molecular biologists and ecologists as they provide a time- and cost-effective way to explore diversity patterns in environmental samples at an unprecedented resolution. An issue common to many studies is the definition of what fractions of a data set should be considered as rare or dominant. Yet this question has neither been satisfactorily addressed, nor is the impact of such definition on data set structure and interpretation been fully evaluated. Here we propose a strategy, MultiCoLA (Multivariate Cutoff Level Analysis), to systematically assess the impact of various abundance or rarity cutoff levels on the resulting data set structure and on the consistency of the further ecological interpretation. We applied MultiCoLA t

SUBMITTER: Gobet A 

PROVIDER: S-EPMC2926624 | biostudies-literature | 2010 Aug

REPOSITORIES: biostudies-literature