Evidence map›Paper›PMID 29849014›Full record

ArticleGenes2018

RECTA: Regulon Identification Based on Comparative Genomics and Transcriptomics Analysis.

Xin Chen, Anjun Ma, Adam McDermaid, Hanyuan Zhang, Chao Liu, Huansheng Cao, Qin Ma

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Genes, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact, top 95% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
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

7 authors at 5 institutions in 2 countries.

Xin ChenCenter for Applied Mathematics, Tianjin University, Tianjin 300072, China. chen_xin@tju.edu.cn.
Anjun MaBioinformatics and Mathematical Biosciences Lab, Department of Agronomy, Horticulture and Plant Science, South Dakota State University, Brookings, SD 57006, USA. anjun.ma@sdstate.edu.
Adam McDermaidBioinformatics and Mathematical Biosciences Lab, Department of Agronomy, Horticulture and Plant Science, South Dakota State University, Brookings, SD 57006, USA. Adam.McDermaid@sdstate.edu.
Hanyuan ZhangCollege of Computer Science and Engineering, University of Nebraska Lincoln, Lincoln, NE 68588, USA. unlzhhy@huskers.unl.edu.
Chao LiuShandong Provincial Hospital affiliated to Shandong University, Jinan 250021, China. ibuliuchao@gmail.com.
Huansheng CaoCenter for Fundamental and Applied Microbiomics, Biodesign Institute, Arizona State University, Tempe, AZ 85287, USA. hshcao@gmail.com.
Qin MaBioinformatics and Mathematical Biosciences Lab, Department of Agronomy, Horticulture and Plant Science, South Dakota State University, Brookings, SD 57006, USA. qin.ma@sdstate.edu.ORCID 0000-0002-3264-8392
South Dakota State University · USArizona State University · USShandong University · CNTianjin University · CNUniversity of Nebraska–Lincoln · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Regulons, which serve as co-regulated gene groups contributing to the transcriptional regulation of microbial genomes, have the potential to aid in understanding of underlying regulatory mechanisms. In this study, we designed a novel computational pipeline, regulon identification based on comparative genomics and transcriptomics analysis (RECTA), for regulon prediction related to the gene regulatory network under certain conditions. To demonstrate the effectiveness of this tool, we implemented RECTA on

Indexed as

acid stress responsecis-regulatory motif findingdifferentially expressed genegene co-expressiongene regulatory networkLactococcus lactis MG1363RECTAregulon

Identifiers

PMID29849014
PMCPMC6027394
OpenAlexW2807261858

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.