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

Power and sample size calculations for high-throughput sequencing-based experiments.

Briefings in bioinformatics - 27 Nov 2018

Li Chung-I, Samuels David C, Zhao Ying-Yong, Shyr Yu, Guo Yan

Abstract excerpt

Power/sample size (power) analysis estimates the likelihood of successfully finding the statistical significance in a data set. There has been a growing recognition of the importance of power analysis in the proper design of experiments. Power analysis is complex, yet necessary for the success of large studies. It is important to design a study that produces statistically accurate and reliable results. Power...

Read the complete abstract on PubMed

Topics

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

Share to Chromatin Immunoprecipitation
Share to Genome-Wide Association Study

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Heterozygote

Share to High-Throughput Nucleotide Sequencing

Share to Microbiota

Share to Mutation

Share to Poisson Distribution

Share to Sequence Analysis, RNA

Source

Open in PubMed Open full text

Identifiers

PMID: 28605403
DOI: 10.1093/bib/bbx061
PMCID: PMC6291796

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 2 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Power and sample size calculations for high-throughput sequencing-based experiments.PMID 28605403Read ↗

Power analysis and sample size estimation for sequence-based association studies.Semantic proximity Read ↗

The PowerAtlas: a power and sample size atlas for microarray experimental design and research.Semantic proximity Read ↗

Power analysis for genome-wide association studies.Semantic proximity Read ↗

Power and sample size for DNA microarray studies.Semantic proximity Read ↗

powerEQTL: An R package and shiny application for sample size and power calculation of bulk tissue and single-cell eQTL analysisSemantic proximity Read ↗

Priors, population sizes, and power in genome-wide hypothesis testsSemantic proximity Read ↗

The power and promise of RNA-seq in ecology and evolution.Semantic proximity Read ↗

PowerBacGWAS: a computational pipeline to perform power calculations for bacterial genome-wide association studies.Semantic proximity Read ↗

PGA: power calculator for case-control genetic association analyses.Semantic proximity Read ↗

EpipwR: Efficient Power Analysis for EWAS with Continuous OutcomesSemantic proximity Read ↗

Statistical power of transcriptome-wide association studies.Semantic proximity Read ↗

Sample Size and Statistical Power Calculation in Genetic Association StudiesSemantic proximity Read ↗

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