Evidence map›Paper›PMID 30657869›Full record

ArticleBioinformatics (Oxford, England)2019

METACLUSTER-an R package for context-specific expression analysis of metabolic gene clusters.

Michael Banf, Kangmei Zhao, Seung Y Rhee

Open access · bronzeAbstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.3field-weighted citation impact, top 21% of its field
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

5 citing papers in PubMed, 17 citations in OpenAlex.

  1. 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

3 authors at 2 institutions in 2 countries.

Michael BanfDepartment of Plant Biology, Carnegie Institution for Science, Stanford, CA, USA.
Kangmei ZhaoDepartment of Plant Biology, Carnegie Institution for Science, Stanford, CA, USA.
Seung Y RheeDepartment of Plant Biology, Carnegie Institution for Science, Stanford, CA, USA.
Department of Plant Biology · USCarnegie Institution for Science · US

Funding

An integrated pipeline for accelerated plant natural product discoveryU01GM110699 · NIGMS · STANFORD UNIVERSITY · PI SMOLKE, CHRISTINA D · 2015 to 2019
$4.5M
NIGMS NIH HHS U01 GM110699
6 · The paper itself

Abstract

summaryPlants and microbes produce numerous compounds to cope with their environments but the biosynthetic pathways for most of these compounds have yet to be elucidated. Some biosynthetic pathways are encoded by enzymes collocated in the chromosome. To facilitate a more comprehensive condition and tissue-specific expression analysis of metabolic gene clusters, we developed METACLUSTER, a probabilistic framework for characterizing metabolic gene clusters using context-specific gene expression information. AVAILABILITY AND IMPLEMENTATION: METACLUSTER is freely available at https://github.com/mbanf/METACLUSTER. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Indexed as

Multigene FamilySoftwareBiosynthetic PathwaysGene Expression

Identifiers

PMID30657869
PMCPMC6735823
OpenAlexW2910533555

What OpenQuestion holds

Textmetadata
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.