Evidence map›Paper›PMID 30407577›Full record

ArticleNucleic acids research2019

Stemformatics: visualize and download curated stem cell data.

Jarny Choi, Chris M Pacheco, Rowland Mosbergen, Othmar Korn, Tyrone Chen, Isha Nagpal, Steve Englart, Paul W Angel, Christine A Wells

Abstract read
In one paragraph

Article in Nucleic acids research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

26 citing papers in PubMed.

  1. Computational modelling of cell identity.The Biochemical journal · 2026
    Review
  2. The changing landscape of gene expression analysis.Briefings in bioinformatics · 2026
    Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Jarny ChoiCentre for Stem Cell Systems, Anatomy and Neuroscience, The University of Melbourne, Melbourne, Victoria 3010, Australia.
Chris M PachecoCentre for Stem Cell Systems, Anatomy and Neuroscience, The University of Melbourne, Melbourne, Victoria 3010, Australia.
Rowland MosbergenCentre for Stem Cell Systems, Anatomy and Neuroscience, The University of Melbourne, Melbourne, Victoria 3010, Australia.
Othmar KornAustralian Institute for Bioengineering and Nanotechnology, The University of Queensland, Brisbane, Queensland, Australia.
Tyrone ChenCentre for Stem Cell Systems, Anatomy and Neuroscience, The University of Melbourne, Melbourne, Victoria 3010, Australia.
Isha NagpalCentre for Stem Cell Systems, Anatomy and Neuroscience, The University of Melbourne, Melbourne, Victoria 3010, Australia.
Steve EnglartCentre for Stem Cell Systems, Anatomy and Neuroscience, The University of Melbourne, Melbourne, Victoria 3010, Australia.
Paul W AngelCentre for Stem Cell Systems, Anatomy and Neuroscience, The University of Melbourne, Melbourne, Victoria 3010, Australia.
Christine A WellsCentre for Stem Cell Systems, Anatomy and Neuroscience, The University of Melbourne, Melbourne, Victoria 3010, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Stemformatics is an established gene expression data portal containing over 420 public gene expression datasets derived from microarray, RNA sequencing and single cell profiling technologies. Developed for the stem cell community, it has a major focus on pluripotency, tissue stem cells, and staged differentiation. Stemformatics includes curated 'collections' of data relevant to cell reprogramming, as well as hematopoiesis and leukaemia. Rather than simply rehosting datasets as they appear in public repositories, Stemformatics uses a stringent set of quality control metrics and its own pipelines to process handpicked datasets from raw files. This means that about 30% of datasets processed by Stemformatics fail the quality control metrics and never make it to the portal, ensuring that Stemformatics data are of high quality and have been processed in a consistent manner. Stemformatics provides easy-to-use and intuitive tools for biologists to visually explore the data, including interactive gene expression profiles, principal component analysis plots and hierarchical clusters, among others. The addition of tools that facilitate cross-dataset comparisons provides users with snapshots of gene expression in multiple cell and tissues, assisting the identification of cell-type restricted genes, or potential housekeeping genes. Stemformatics is freely available at stemformatics.org.

Indexed as

Databases, GeneticStem CellsAnimalsCell DifferentiationData CurationGenes, EssentialHumansSequence Analysis, RNASoftwareTranscriptome

Identifiers

PMID30407577
PMCPMC6323943

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.