Evidence map›Paper›PMID 30624648›Full record

ArticleDatabase : the journal of biological databases and curation2019

AtFusionDB: a database of fusion transcripts in Arabidopsis thaliana.

Ajeet Singh, Shafaque Zahra, Durdam Das, Shailesh Kumar

Abstract readDataset
In one paragraph

Article in Database : the journal of biological databases and curation, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

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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

11 citing papers in PubMed.

  1. Article
  2. PFGPred: a stack ensemble classifier for the identification of fusion genes in plants.DNA research : an international journal for rapid publication of reports on genes and genomes · 2026
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  3. 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

4 authors.

Ajeet SinghBioinformatics Laboratory, National Institute of Plant Genome Research Aruna Asaf Ali Marg, New Delhi, India.
Shafaque ZahraBioinformatics Laboratory, National Institute of Plant Genome Research Aruna Asaf Ali Marg, New Delhi, India.
Durdam DasBioinformatics Laboratory, National Institute of Plant Genome Research Aruna Asaf Ali Marg, New Delhi, India.
Shailesh KumarBioinformatics Laboratory, National Institute of Plant Genome Research Aruna Asaf Ali Marg, New Delhi, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fusion transcripts are chimeric RNAs generated as a result of fusion either at DNA or RNA level. These novel transcripts have been extensively studied in the case of human cancers but still remain underexamined in plants. In this study, we introduce the first plant-specific database of fusion transcripts named AtFusionDB (http://www.nipgr.res.in/AtFusionDB). This is a comprehensive database that contains the detailed information about fusion transcripts identified in model plant Arabidopsis thaliana. A total of 82 969 fusion transcript entries generated from 17 181 different genes of A. thaliana are available in this database. Apart from the basic information consisting of the Ensembl gene names, official gene name, tissue type, EricScore, fusion type, AtFusionDB ID and sample ID (e.g. Sequence Read Archive ID), additional information like UniProt, gene coordinates (together with the function of parental genes), junction sequence, expression level of both parent genes and fusion transcript may be of high utility to the user. Two different types of search modules viz. 'Simple Search' and 'Advanced Search' in addition to the 'Browse' option with data download facility are provided in this database. Three different modules for mapping and alignment of the query sequences viz. BLASTN, SW Align and Mapping are incorporated in AtFusionDB. This database is a head start for exploring the complex and unexplored domain of gene/transcript fusion in plants.

Indexed as

Databases, GeneticArabidopsisDNA, PlantGene FusionRNA, MessengerRNA, PlantSoftwareUser-Computer InterfaceDNA, PlantRNA, MessengerRNA, Plant

Identifiers

PMID30624648
PMCPMC6323297

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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.