Evidence map›Paper›PMID 26229293›Full record

ArticleBioinformation2015

Computer aided gene mining for gingerol biosynthesis.

Priyanka James, Bincy Baby, SonaSona Charles, Lekshmysree Saraschandran Nair, Puthiyaveetil Abdulla Nazeem

Open access · hybridAbstract read
In one paragraph

Article in Bioinformation, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact, top 97% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. 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

5 authors at 1 institution in 1 country.

Priyanka JamesBioinformatics Centre (DIC), College of Horticulture, Kerala Agricultural University, Vellanikkara, 680 656, Thrissur, Kerala, India.
Bincy BabyBioinformatics Centre (DIC), College of Horticulture, Kerala Agricultural University, Vellanikkara, 680 656, Thrissur, Kerala, India.
SonaSona CharlesBioinformatics Centre (DIC), College of Horticulture, Kerala Agricultural University, Vellanikkara, 680 656, Thrissur, Kerala, India.
Lekshmysree Saraschandran NairBioinformatics Centre (DIC), College of Horticulture, Kerala Agricultural University, Vellanikkara, 680 656, Thrissur, Kerala, India.
Puthiyaveetil Abdulla NazeemBioinformatics Centre (DIC), College of Horticulture, Kerala Agricultural University, Vellanikkara, 680 656, Thrissur, Kerala, India.
Kerala Agricultural University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Inspite of the large body of genomic data obtained from the transcriptome of Zingiber officinale, very few studies have focused on the identification and characterization of miRNAs in gingerol biosynthesis. Zingiber officinale transcriptome was analyzed using EST dataset (38169 total) deposited in public domains. In this paper computational functional annotation of the available ESTs and identification of genes which play a significant role in gingerol biosynthesis are described. Zingiber officinale transcriptome was analyzed using EST dataset (38169 total) from ncbi. ESTs were clustered and assembled, resulting in 8624 contigs and 8821 singletons. Assembled dataset was then submitted to the EST functional annotation workflow including blast, gene ontology (go) analysis, and pathway enrichment by kyoto encyclopedia of genes and genomes (kegg) and interproscan. The unigene datasets were further exploited to identify simple sequence repeats that enable linkage mapping. A total of 409 simple sequence repeats were identified from the contigs. Furthermore we examined the existence of novel miRNAs from the ESTs in rhizome, root and leaf tissues. EST analysis revealed the presence of single hypothetical miRNA in rhizome tissue. The hypothetical miRNA is warranted to play an important role in controlling genes involved in gingerol biosynthesis and hence demands experimental validation. The assembly and associated information of transcriptome data provides a comprehensive functional and evolutionary characterization of genomics of Zingiber officinale. As an effort to make the genomic and transcriptomic data widely available to the public domain, the results were integrated into a web-based Ginger EST database which is freely accessible at http://www.kaubic.in/gingerest/.

Indexed as

ESTsgingerol biosynthesismiRNAstranscriptomics

Identifiers

PMID26229293
PMCPMC4512007
OpenAlexW1543480748

What OpenQuestion holds

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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.