powsimR: power analysis for bulk and single cell RNA-seq experiments

Beate ViethInes Hellmann


Power analysis is essential to optimize the design of RNA-seq experiments and to assess and compare the power to detect differentially expressed genes in RNA-seq data. PowsimR is a flexible tool to simulate and evaluate differential expression from bulk and especially single-cell RNA-seq data making it suitable for a priori and posterior power analyses. The R package and associated tutorial are freely available at https://github.com/bvieth/powsimR. vieth@bio.lmu.de or hellmann@bio.lmu.de. Supplementary data are available at Bioinformatics online.


Jun 3, 2008·Nature Methods·Ali MortazaviBarbara Wold
May 5, 2010·Genetics·Paul L Auer, R W Doerge
Sep 4, 2012·Cell Reports·Tamar HashimshonyItai Yanai
Feb 23, 2013·Bioinformatics·Ning LengChristina Kendziorski
Oct 22, 2013·Nature Methods·Angela R WuStephen R Quake
Jan 5, 2014·Nature Protocols·Simone PicelliRickard Sandberg
Jan 28, 2014·Nature·Anamaria NecsuleaHenrik Kaessmann
Apr 22, 2014·Nature Methods·Dominic GrünAlexander van Oudenaarden
May 20, 2014·Nature Methods·Peter V KharchenkoDavid T Scadden
Dec 18, 2014·Genome Biology·Michael I LoveSimon Anders
Jan 22, 2015·Nucleic Acids Research·Matthew E RitchieGordon K Smyth
Oct 3, 2015·Cell Stem Cell·Aleksandra A KolodziejczykSarah Amalia Teichmann
Jan 28, 2016·Genome Biology·Ana ConesaAli Mortazavi
Apr 8, 2016·Genome Biology·Rhonda Bacher, Christina Kendziorski
May 7, 2016·Bioinformatics·Trung Nghia VuYudi Pawitan
Oct 27, 2016·Genome Biology·Keegan D KorthauerChristina Kendziorski
Jan 17, 2017·Nature Communications·Grace X Y ZhengJason H Bielas
Jan 20, 2017·Briefings in Bioinformatics·Alicia Poplawski, Harald Binder
Jan 24, 2017·Nature Methods·Xiaojie QiuCole Trapnell
Feb 19, 2017·Molecular Cell·Christoph ZiegenhainWolfgang Enard


May 31, 2018·GigaScience·Swati ParekhInes Hellmann
Jun 26, 2018·PLoS Computational Biology·Luke ZappiaAlicia Oshlack
Nov 2, 2017·Briefings in Functional Genomics·Chung-Chau HonMichael J T Stubbington
Mar 27, 2018·Briefings in Functional Genomics·Christoph ZiegenhainWolfgang Enard
Dec 5, 2019·Nature Biotechnology·Kevin R MoonSmita Krishnaswamy
May 17, 2019·Current Osteoporosis Reports·Ugur Ayturk
Jan 16, 2020·Nature Biotechnology·Valentine Svensson
Jul 20, 2018·Frontiers in Immunology·Akira NguyenTri Giang Phan
Dec 14, 2018·Frontiers in Cardiovascular Medicine·Andrea MassaiaMichela Noseda
Oct 13, 2019·Nature Communications·Beate ViethInes Hellmann
Dec 25, 2019·BMC Bioinformatics·Yue CaoKitty K Lo
Jul 28, 2018·Nature Communications·Johannes W BagnoliWolfgang Enard
Mar 27, 2019·Therapeutic Advances in Ophthalmology·Nicholas Owen, Mariya Moosajee
Dec 4, 2019·Nature Methods·Robert A AmezquitaStephanie C Hicks
Sep 13, 2019·Bioinformatics·Wei Vivian Li, Jingyi Jessica Li
May 26, 2020·BMC Bioinformatics·David Gerard
Aug 29, 2020·Genome Biology·Wenpin HouStephanie C Hicks
Feb 9, 2020·Genome Biology·David LähnemannAlexander Schönhuth
Jun 15, 2019·Nature Communications·Xiuwei ZhangNir Yosef
Jun 21, 2019·Molecular Systems Biology·Malte D Luecken, Fabian J Theis
Nov 25, 2020·BMC Medical Genomics·Animesh AcharjeeGeorgios V Gkoutos

Related Concepts

Research Study
Protein Expression
Gene Feature

Trending Feeds


Coronaviruses encompass a large family of viruses that cause the common cold as well as more serious diseases, such as the ongoing outbreak of coronavirus disease 2019 (COVID-19; formally known as 2019-nCoV). Coronaviruses can spread from animals to humans; symptoms include fever, cough, shortness of breath, and breathing difficulties; in more severe cases, infection can lead to death. This feed covers recent research on COVID-19.

Synthetic Genetic Array Analysis

Synthetic genetic arrays allow the systematic examination of genetic interactions. Here is the latest research focusing on synthetic genetic arrays and their analyses.

Neural Activity: Imaging

Imaging of neural activity in vivo has developed rapidly recently with the advancement of fluorescence microscopy, including new applications using miniaturized microscopes (miniscopes). This feed follows the progress in this growing field.

Computational Methods for Protein Structures

Computational methods employing machine learning algorithms are powerful tools that can be used to predict the effect of mutations on protein structure. This is important in neurodegenerative disorders, where some mutations can cause the formation of toxic protein aggregations. This feed follows the latests insights into the relationships between mutation and protein structure leading to better understanding of disease.

Congenital Hyperinsulinism

Congenital hyperinsulinism is caused by genetic mutations resulting in excess insulin secretion from beta cells of the pancreas. Here is the latest research.

Chronic Fatigue Syndrome

Chronic fatigue syndrome is a disease characterized by unexplained disabling fatigue; the pathology of which is incompletely understood. Discover the latest research on chronic fatigue syndrome here.

Epigenetic Memory

Epigenetic memory refers to the heritable genetic changes that are not explained by the DNA sequence. Find the latest research on epigenetic memory here.

Cell Atlas of the Human Eye

Constructing a cell atlas of the human eye will require transcriptomic and histologic analysis over the lifespan. This understanding will aid in the study of development and disease. Find the latest research pertaining to the Cell Atlas of the Human Eye here.

Femoral Neoplasms

Femoral Neoplasms are bone tumors that arise in the femur. Discover the latest research on femoral neoplasms here.