The dilemma of choosing the ideal permutation strategy while estimating statistical significance of genome-wide enrichment.

Abstract:

:Integrative analyses of genomic, epigenomic and transcriptomic features for human and various model organisms have revealed that many such features are nonrandomly distributed in the genome. Significant enrichment (or depletion) of genomic features is anticipated to be biologically important. Detection of genomic regions having enrichment of certain features and estimation of corresponding statistical significance rely on the expected null distribution generated by a permutation model. We discuss different genome-wide permutation approaches, present examples where the permutation strategy affects the null model and show that the confidence in estimating statistical significance of genome-wide enrichment might depend on the choice of the permutation approach. In those cases, where biologically relevant constraints are unclear, it is preferable to examine whether key conclusions are consistent, irrespective of the choice of the randomization strategy.

journal_name

Brief Bioinform

authors

De S,Pedersen BS,Kechris K

doi

10.1093/bib/bbt053

subject

Has Abstract

pub_date

2014-11-01 00:00:00

pages

919-28

issue

6

eissn

1467-5463

issn

1477-4054

pii

bbt053

journal_volume

15

pub_type

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