Evidence map›Paper›PMID 28874813›Full record

ArticleScientific reports2017

FunctionAnnotator, a versatile and efficient web tool for non-model organism annotation.

Ting-Wen Chen, Ruei-Chi Gan, Yi-Kai Fang, Kun-Yi Chien, Wei-Chao Liao, Chia-Chun Chen, Timothy H Wu, Ian Yi-Feng Chang, Chi Yang, Po-Jung Huang and 4 more

Abstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Review
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  9. Data on theData in brief · 2020
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  12. GigaByte (Hong Kong, China) · 2020
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  18. Draft genome sequence ofData in brief · 2018
    Article
  19. Deep sequencing analysis of toadThe journal of venomous animals and toxins including tropical diseases · 2018
    Article
  20. Article
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

14 authors.

Ting-Wen ChenBioinformatics Center, Chang Gung University, Taoyuan, Taiwan.
Ruei-Chi GanBioinformatics Center, Chang Gung University, Taoyuan, Taiwan.
Yi-Kai FangGraduate Institute of Biomedical Sciences, College of Medicine, Chang Gung University, Taoyuan, Taiwan.
Kun-Yi ChienDepartment of Biochemistry and Molecular Biology, College of Medicine, Chang Gung University, Taoyuan, Taiwan.
Wei-Chao LiaoMolecular Medicine Research Center, Chang Gung University, Taoyuan, Taiwan.
Chia-Chun ChenDepartment of Biochemistry and Molecular Biology, College of Medicine, Chang Gung University, Taoyuan, Taiwan.
Timothy H WuInstitute of Biomedical Informatics, National Yang-Ming University, Chang Gung Memorial Hospital, Taoyuan, Taiwan.
Ian Yi-Feng ChangBioinformatics Center, Chang Gung University, Taoyuan, Taiwan.ORCID 0000-0001-5840-2051
Chi YangBioinformatics Center, Chang Gung University, Taoyuan, Taiwan.
Po-Jung HuangBioinformatics Center, Chang Gung University, Taoyuan, Taiwan.
Yuan-Ming YehBioinformatics Center, Chang Gung University, Taoyuan, Taiwan.
Cheng-Hsun ChiuMolecular Infectious Diseases Research Center, Chang Gung Memorial Hospital, Taoyuan, Taiwan.
Tzu-Wen HuangDepartment of Microbiology and Immunology, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan.
Petrus TangBioinformatics Center, Chang Gung University, Taoyuan, Taiwan. petang@mail.cgu.edu.tw.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

absatractAlong with the constant improvement in high-throughput sequencing technology, an increasing number of transcriptome sequencing projects are carried out in organisms without decoded genome information and even on environmental biological samples. To study the biological functions of novel transcripts, the very first task is to identify their potential functions. We present a web-based annotation tool, FunctionAnnotator, which offers comprehensive annotations, including GO term assignment, enzyme annotation, domain/motif identification and predictions for subcellular localization. To accelerate the annotation process, we have optimized the computation processes and used parallel computing for all annotation steps. Moreover, FunctionAnnotator is designed to be versatile, and it generates a variety of useful outputs for facilitating other analyses. Here, we demonstrate how FunctionAnnotator can be helpful in annotating non-model organisms. We further illustrate that FunctionAnnotator can estimate the taxonomic composition of environmental samples and assist in the identification of novel proteins by combining RNA-Seq data with proteomics technology. In summary, FunctionAnnotator can efficiently annotate transcriptomes and greatly benefits studies focusing on non-model organisms or metatranscriptomes. FunctionAnnotator, a comprehensive annotation web-service tool, is freely available online at: http://fa.cgu.edu.tw/ . This new web-based annotator will shed light on field studies involving organisms without a reference genome.

Identifiers

PMID28874813
PMCPMC5585236

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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.