Evidence map›Paper›PMID 28338930›Full record

ArticleDNA research : an international journal for rapid publication of reports on genes and genomes2017

EXPath tool-a system for comprehensively analyzing regulatory pathways and coexpression networks from high-throughput transcriptome data.

Han-Qin Zheng, Nai-Yun Wu, Chi-Nga Chow, Kuan-Chieh Tseng, Chia-Hung Chien, Yu-Cheng Hung, Guan-Zhen Li, Wen-Chi Chang

Abstract read
In one paragraph

Article in DNA research : an international journal for rapid publication of reports on genes and genomes, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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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

8 authors.

Han-Qin ZhengInstitute of Tropical Plant Sciences, College of Biosciences and Biotechnology, National Cheng Kung University, Tainan 701, Taiwan.
Nai-Yun WuInstitute of Tropical Plant Sciences, College of Biosciences and Biotechnology, National Cheng Kung University, Tainan 701, Taiwan.
Chi-Nga ChowInstitute of Tropical Plant Sciences, College of Biosciences and Biotechnology, National Cheng Kung University, Tainan 701, Taiwan.
Kuan-Chieh TsengInstitute of Tropical Plant Sciences, College of Biosciences and Biotechnology, National Cheng Kung University, Tainan 701, Taiwan.
Chia-Hung ChienInstitute of Tropical Plant Sciences, College of Biosciences and Biotechnology, National Cheng Kung University, Tainan 701, Taiwan.
Yu-Cheng HungInstitute of Tropical Plant Sciences, College of Biosciences and Biotechnology, National Cheng Kung University, Tainan 701, Taiwan.
Guan-Zhen LiInstitute of Tropical Plant Sciences, College of Biosciences and Biotechnology, National Cheng Kung University, Tainan 701, Taiwan.
Wen-Chi ChangInstitute of Tropical Plant Sciences, College of Biosciences and Biotechnology, National Cheng Kung University, Tainan 701, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Next generation sequencing (NGS) has become the mainstream approach for monitoring gene expression levels in parallel with various experimental treatments. Unfortunately, there is no systematical webserver to comprehensively perform further analysis based on the huge amount of preliminary data that is obtained after finishing the process of gene annotation. Therefore, a user-friendly and effective system is required to mine important genes and regulatory pathways under specific conditions from high-throughput transcriptome data. EXPath Tool (available at: http://expathtool.itps.ncku.edu.tw/) was developed for the pathway annotation and comparative analysis of user-customized gene expression profiles derived from microarray or NGS platforms under various conditions to infer metabolic pathways for all organisms in the KEGG database. EXPath Tool contains several functions: access the gene expression patterns and the candidates of co-expression genes; dissect differentially expressed genes (DEGs) between two conditions (DEGs search), functional grouping with pathway and GO (Pathway/GO enrichment analysis), and correlation networks (co-expression analysis), and view the expression patterns of genes involved in specific pathways to infer the effects of the treatment. Additionally, the effectively of EXPath Tool has been performed by a case study on IAA-responsive genes. The results demonstrated that critical hub genes under IAA treatment could be efficiently identified.

Indexed as

Databases, GeneticSoftwareTranscriptomeAlgorithmsArabidopsisHigh-Throughput Nucleotide SequencingIndoleacetic AcidsSequence Analysis, RNAUser-Computer InterfaceIndoleacetic Acidsbiological pathwayco-expression networkNGS

Identifiers

PMID28338930
PMCPMC5737374

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Registered trials

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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.