Medizinische Universität Graz - Research portal
Selected Publication:
SHR Neuro Cancer Cardio Lipid Metab Microb
Carr, A; Diener, C; Baliga, NS; Gibbons, SM.
Use and abuse of correlation analyses in microbial ecology.
ISME J. 2019; 13(11): 2647-2655.
Doi: 10.1038/s41396-019-0459-z
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- Co-authors Med Uni Graz
- Diener Christian
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- Abstract:
- Correlation analyses are often included in bioinformatic pipelines as methods for inferring taxon-taxon interactions. In this perspective, we highlight the pitfalls of inferring interactions from covariance and suggest methods, study design considerations, and additional data types for improving high-throughput interaction inferences. We conclude that correlation, even when augmented by other data types, almost never provides reliable information on direct biotic interactions in real-world ecosystems. These bioinformatically inferred associations are useful for reducing the number of potential hypotheses that we might test, but will never preclude the necessity for experimental validation.
- Find related publications in this database (using NLM MeSH Indexing)
- Computational Biology - methods
- Correlation of Data - administration & dosage
- Ecosystem - administration & dosage
- Environmental Microbiology - administration & dosage
- Humans - administration & dosage
- Microbial Interactions - administration & dosage