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Perspectives on rigor and reproducibility in single cell genomics.

作者信息

Gibson Greg

机构信息

School of Biological Sciences and Center for Integrative Genomics, Georgia Institute of Technology, Atlanta, Georgia, United States of America.

出版信息

PLoS Genet. 2022 May 10;18(5):e1010210. doi: 10.1371/journal.pgen.1010210. eCollection 2022 May.

DOI:10.1371/journal.pgen.1010210
PMID:35536863
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9122178/
Abstract
摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f43/9122178/69fe69bffd00/pgen.1010210.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f43/9122178/69fe69bffd00/pgen.1010210.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f43/9122178/69fe69bffd00/pgen.1010210.g001.jpg

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本文引用的文献

[1]
scPower accelerates and optimizes the design of multi-sample single cell transcriptomic studies.

Nat Commun. 2021-11-16

[2]
A multimodal cell census and atlas of the mammalian primary motor cortex.

Nature. 2021-10

[3]
PsiNorm: a scalable normalization for single-cell RNA-seq data.

Bioinformatics. 2021-12-22

[4]
Enabling reproducible re-analysis of single-cell data.

Genome Biol. 2021-7-26

[5]
Separating measurement and expression models clarifies confusion in single-cell RNA sequencing analysis.

Nat Genet. 2021-6

[6]
A streamlined workflow for conversion, peer review, and publication of genomics metadata as omics data papers.

Gigascience. 2021-5-13

[7]
Hierarchicell: an R-package for estimating power for tests of differential expression with single-cell data.

BMC Genomics. 2021-5-1

[8]
A practical solution to pseudoreplication bias in single-cell studies.

Nat Commun. 2021-2-2

[9]
muscat detects subpopulation-specific state transitions from multi-sample multi-condition single-cell transcriptomics data.

Nat Commun. 2020-11-30

[10]
The optimal discovery procedure for significance analysis of general gene expression studies.

Bioinformatics. 2021-4-20

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