Evidence map›Paper›PMID 28379331›Full record

ArticleBioinformatics (Oxford, England)2017

The Tomato Expression Atlas.

Noe Fernandez-Pozo, Yi Zheng, Stephen I Snyder, Philippe Nicolas, Yoshihito Shinozaki, Zhangjun Fei, Carmen Catala, James J Giovannoni, Jocelyn K C Rose, Lukas A Mueller

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
43citing 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

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

  1. Pooled it
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  15. PEATmoss: A Gene Expression Atlas for Bryophytes.Methods in molecular biology (Clifton, N.J.) · 2023
    Article
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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

10 authors.

Noe Fernandez-PozoBoyce Thompson Institute, Ithaca, NY 14853, USA.
Yi ZhengBoyce Thompson Institute, Ithaca, NY 14853, USA.
Stephen I SnyderPlant Biology Section, School of Integrative Plant Science, Cornell University, Ithaca, NY 14853, USA.
Philippe NicolasBoyce Thompson Institute, Ithaca, NY 14853, USA.
Yoshihito ShinozakiPlant Biology Section, School of Integrative Plant Science, Cornell University, Ithaca, NY 14853, USA.
Zhangjun FeiBoyce Thompson Institute, Ithaca, NY 14853, USA.
Carmen CatalaBoyce Thompson Institute, Ithaca, NY 14853, USA.
James J GiovannoniBoyce Thompson Institute, Ithaca, NY 14853, USA.
Jocelyn K C RosePlant Biology Section, School of Integrative Plant Science, Cornell University, Ithaca, NY 14853, USA.
Lukas A MuellerBoyce Thompson Institute, Ithaca, NY 14853, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

summaryWith the development of new high-throughput DNA sequencing technologies and decreasing costs, large gene expression datasets are being generated at an accelerating rate, but can be complex to visualize. New, more interactive and intuitive tools are needed to visualize the spatiotemporal context of expression data and help elucidate gene function. Using tomato fruit as a model, we have developed the Tomato Expression Atlas to facilitate effective data analysis, allowing the simultaneous visualization of groups of genes at a cell/tissue level of resolution within an organ, enhancing hypothesis development and testing in addition to candidate gene identification. This atlas can be adapted to different types of expression data from diverse multicellular species. AVAILABILITY AND IMPLEMENTATION: The Tomato Expression Atlas is available at http://tea.solgenomics.net/ . Source code is available at https://github.com/solgenomics/Tea . CONTACT: jr286@cornell.edu or lam87@cornell.edu. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Indexed as

Databases, Nucleic AcidGene Expression Regulation, PlantTranscriptomeHigh-Throughput Nucleotide SequencingOrgan SpecificitySequence Analysis, RNASolanum lycopersicum

Identifiers

PMID28379331
PMCPMC5860121

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.