Evidence map›Paper›PMID 28493881›Full record

ArticlePloS one2017

shinyheatmap: Ultra fast low memory heatmap web interface for big data genomics.

Bohdan B Khomtchouk, James R Hennessy, Claes Wahlestedt

Abstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
65citing papers in PubMed, 1 pooled it
–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

65 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  5. Molecular similarity: Theory, applications, and perspectives.Artificial intelligence chemistry · 2024
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5 more citing papers are in PubMed but not listed here.

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

3 authors.

Bohdan B KhomtchoukCenter for Therapeutic Innovation, University of Miami Miller School of Medicine, 1501 NW 10th Ave., Miami, FL, 33136, United States of America.ORCID http://orcid.org/0000-0001-9607-7528
James R HennessyDepartment of Mathematics, University of Miami, 1365 Memorial Drive, Coral Gables, FL, 33146, United States of America.
Claes WahlestedtCenter for Therapeutic Innovation, University of Miami Miller School of Medicine, 1501 NW 10th Ave., Miami, FL, 33136, United States of America.

Funding

Epigenetic Signaling Pathways Contributing to Alcohol DependenceR01AA023781 · NIAAA · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI HEILIG, MARKUS ALEXANDER, WAHLESTEDT, CLAES ROBERT · 2015 to 2019
$2.1M
Comprehensive analysis of the FMR1 locus transcriptional landscapeR01MH084880 · NIMH · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI WAHLESTEDT, CLAES ROBERT · 2010 to 2014
$2.0M
Regulatory RNAs as mediators and biomarkers in Alzheimer's DiseaseR01NS063974 · NINDS · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI WAHLESTEDT, CLAES ROBERT · 2009 to 2012
$1.6M
Long noncoding RNAs and chromatin regulation in cocaine addictionR21DA035592 · NIDA · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI WAHLESTEDT, CLAES ROBERT · 2014 to 2015
$381k
NIAAA NIH HHS R01 AA023781NIDA NIH HHS R21 DA035592NIMH NIH HHS R01 MH084880NINDS NIH HHS R01 NS063974
6 · The paper itself

Abstract

backgroundTranscriptomics, metabolomics, metagenomics, and other various next-generation sequencing (-omics) fields are known for their production of large datasets, especially across single-cell sequencing studies. Visualizing such big data has posed technical challenges in biology, both in terms of available computational resources as well as programming acumen. Since heatmaps are used to depict high-dimensional numerical data as a colored grid of cells, efficiency and speed have often proven to be critical considerations in the process of successfully converting data into graphics. For example, rendering interactive heatmaps from large input datasets (e.g., 100k+ rows) has been computationally infeasible on both desktop computers and web browsers. In addition to memory requirements, programming skills and knowledge have frequently been barriers-to-entry for creating highly customizable heatmaps.

resultsWe propose shinyheatmap: an advanced user-friendly heatmap software suite capable of efficiently creating highly customizable static and interactive biological heatmaps in a web browser. shinyheatmap is a low memory footprint program, making it particularly well-suited for the interactive visualization of extremely large datasets that cannot typically be computed in-memory due to size restrictions. Also, shinyheatmap features a built-in high performance web plug-in, fastheatmap, for rapidly plotting interactive heatmaps of datasets as large as 105-107 rows within seconds, effectively shattering previous performance benchmarks of heatmap rendering speed.

conclusionsshinyheatmap is hosted online as a freely available web server with an intuitive graphical user interface: http://shinyheatmap.com. The methods are implemented in R, and are available as part of the shinyheatmap project at: https://github.com/Bohdan-Khomtchouk/shinyheatmap. Users can access fastheatmap directly from within the shinyheatmap web interface, and all source code has been made publicly available on Github: https://github.com/Bohdan-Khomtchouk/fastheatmap.

Indexed as

GenomicsSoftwareAlgorithmsGene ExpressionGene Expression ProfilingHumansInternet

Identifiers

PMID28493881
PMCPMC5426587

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.