Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

LimoRhyde: A Flexible Approach for Differential Analysis of Rhythmic Transcriptome Data

25 Nov 2018

Abstract excerpt

Unraveling the effects of genetic or environmental perturbations on biological rhythms requires detecting changes in rhythmicity across multiple conditions. Although methods to detect rhythmicity in genome-scale data are well established, methods to detect changes in rhythmicity or changes in average expression between experimental conditions are often ad hoc and statistically unreliable. Here we present...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Adipose Tissue and Metabolism
Share to Circadian rhythm and melatonin
Share to Genetic Mapping and Diversity in Plants and Animals

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 30472909
DOI: 10.1177/0748730418813785

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 5 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

LimoRhyde: A Flexible Approach for Differential Analysis of Rhythmic Transcriptome DataPMID 30472909Read ↗

LimoRhyde: a flexible approach for differential analysis of rhythmic transcriptome dataSemantic proximity Read ↗

GLMMcosinor: Flexible Cosinor Modeling to Characterize Rhythmic Time Series Using a Generalized Linear Mixed Modeling FrameworkSemantic proximity Read ↗

tauFisher accurately predicts circadian time from a single sample of bulk and single-cell transcriptomic dataSemantic proximity Read ↗

Experimental Design and Power Calculation in Omics Circadian Rhythmicity DetectionSemantic proximity Read ↗

Likelihood-based Tests for Detecting Circadian Rhythmicity and Differential Circadian Patterns in Transcriptomic ApplicationsSemantic proximity Read ↗

A population-based human enCYCLOPedia for circadian medicineSemantic proximity Read ↗

Time series-free rhythm profiling using COFE reveals multi-omic circadian rhythms in in-vivo human cancersSemantic proximity Read ↗

Statistical Methods for Detecting Circadian Rhythmicity and Differential Circadian Patterns with Repeated Measurement in Transcriptomic ApplicationsSemantic proximity Read ↗

GeneRhythm uncovers gene expression rhythms that shape the dynamic transcriptional landscape in single-cell omicsSemantic proximity Read ↗

JTK_CYCLE: An Efficient Nonparametric Algorithm for Detecting Rhythmic Components in Genome-Scale Data SetsSemantic proximity Read ↗

CIRCUST: a novel methodology for temporal order reconstruction of molecular rhythms; validation and application towards a daily rhythm gene expression atlas in humansSemantic proximity Read ↗

Integrative Analysis of Multi-omics Data Expands Druggable Targets for Circadian MedicineSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.