Evidence map›Paper›PMID 25380781›Full record

ArticleDatabase : the journal of biological databases and curation2014

ChloroSSRdb: a repository of perfect and imperfect chloroplastic simple sequence repeats (cpSSRs) of green plants.

Aditi Kapil, Piyush Kant Rai, Asheesh Shanker

Open access · goldAbstract read
In one paragraph

Article in Database : the journal of biological databases and curation, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.1field-weighted citation impact, top 22% 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

8 citing papers in PubMed, 25 citations in OpenAlex.

  1. Article
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  3. Article
  4. Article
  5. GinMicrosatDb: a genome-wide microsatellite markers database for sesame (Physiology and molecular biology of plants : an international journal of functional plant biology · 2018
    Article
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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

3 authors at 1 institution in 1 country.

Aditi KapilDepartment of Bioinformatics, Banasthali University, Banasthali, Rajasthan 304022, India and Department of Mathematics and Statistics, Banasthali University, Banasthali, Rajasthan 304022, India.
Piyush Kant RaiDepartment of Bioinformatics, Banasthali University, Banasthali, Rajasthan 304022, India and Department of Mathematics and Statistics, Banasthali University, Banasthali, Rajasthan 304022, India.
Asheesh ShankerDepartment of Bioinformatics, Banasthali University, Banasthali, Rajasthan 304022, India and Department of Mathematics and Statistics, Banasthali University, Banasthali, Rajasthan 304022, India ashomics@gmail.com.
Banasthali University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Simple sequence repeats (SSRs) are regions in DNA sequence that contain repeating motifs of length 1-6 nucleotides. These repeats are ubiquitously present and are found in both coding and non-coding regions of genome. A total of 534 complete chloroplast genome sequences (as on 18 September 2014) of Viridiplantae are available at NCBI organelle genome resource. It provides opportunity to mine these genomes for the detection of SSRs and store them in the form of a database. In an attempt to properly manage and retrieve chloroplastic SSRs, we designed ChloroSSRdb which is a relational database developed using SQL server 2008 and accessed through ASP.NET. It provides information of all the three types (perfect, imperfect and compound) of SSRs. At present, ChloroSSRdb contains 124 430 mined SSRs, with majority lying in non-coding region. Out of these, PCR primers were designed for 118 249 SSRs. Tetranucleotide repeats (47 079) were found to be the most frequent repeat type, whereas hexanucleotide repeats (6414) being the least abundant. Additionally, in each species statistical analyses were performed to calculate relative frequency, correlation coefficient and chi-square statistics of perfect and imperfect SSRs. In accordance with the growing interest in SSR studies, ChloroSSRdb will prove to be a useful resource in developing genetic markers, phylogenetic analysis, genetic mapping, etc. Moreover, it will serve as a ready reference for mined SSRs in available chloroplast genomes of green plants. Database URL: www.compubio.in/chlorossrdb/

Indexed as

Databases, GeneticGenome, PlantGenomicsInternetMicrosatellite RepeatsUser-Computer InterfaceViridiplantae

Identifiers

PMID25380781
PMCPMC4224265
OpenAlexW2146958178

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.