Evidence map›Paper›PMID 26412851›Full record

ArticleDatabase : the journal of biological databases and curation2015

ChloroMitoSSRDB 2.00: more genomes, more repeats, unifying SSRs search patterns and on-the-fly repeat detection.

Gaurav Sablok, G V Padma Raju, Suresh B Mudunuri, Ratna Prabha, Dhananjaya P Singh, Vesselin Baev, Galina Yahubyan, Peter J Ralph, Nicola La Porta

Open access · goldAbstract readDataset
In one paragraph

Article in Database : the journal of biological databases and curation, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
2.3field-weighted citation impact, top 11% 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

19 citing papers in PubMed, 32 citations in OpenAlex.

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  10. Genes · 2020
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  13. Complete plastome sequences fromApplications in plant sciences · 2018
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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

9 authors at 5 institutions in 4 countries.

Gaurav SablokPlant Functional Biology and Climate Change Cluster (C3), University of Technology Sydney, PO Box 123, Broadway, NSW 2007, Australia, Environmental Biotechnology Platform, Research and Innovation Center, Fondazione Edmund Mach (FEM), IASMA Via Mach 1., 38010 San Michele all'Adige (TN), Italy, sablokg@gmail.com.
G V Padma RajuDepartment of Computer Science and Engineering, S.R.K.R Engineering College, Chinna Amiram, Bhimavaram 534204, Andhra Pradesh, India.
Suresh B MudunuriTechnology Centre, S.R.K.R. Engineering College, Chinna Amiram, Bhimavaram 534204, Andhra Pradesh, India.
Ratna PrabhaNational Bureau of Agriculturally Important Microorganisms (NBAIM) (Indian Council of Agricultural Research), Maunath Bhanjan 275101, Uttar Pradesh, India and.
Dhananjaya P SinghNational Bureau of Agriculturally Important Microorganisms (NBAIM) (Indian Council of Agricultural Research), Maunath Bhanjan 275101, Uttar Pradesh, India and.
Vesselin BaevDepartment of Plant Physiology and Molecular Biology, University of Plovdiv, 24 Tsar Assen St, 4000 Plovdiv, Bulgaria.
Galina YahubyanDepartment of Plant Physiology and Molecular Biology, University of Plovdiv, 24 Tsar Assen St, 4000 Plovdiv, Bulgaria.
Peter J RalphPlant Functional Biology and Climate Change Cluster (C3), University of Technology Sydney, PO Box 123, Broadway, NSW 2007, Australia.
Nicola La PortaEnvironmental Biotechnology Platform, Research and Innovation Center, Fondazione Edmund Mach (FEM), IASMA Via Mach 1., 38010 San Michele all'Adige (TN), Italy.
Fondazione Edmund Mach · ITPlovdiv University · BGIndian Council of Agricultural Research · INNational Bureau of Agriculturally Important Microorganisms · INUniversity of Technology Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Organelle genomes evolve rapidly as compared with nuclear genomes and have been widely used for developing microsatellites or simple sequence repeats (SSRs) markers for delineating phylogenomics. In our previous reports, we have established the largest repository of organelle SSRs, ChloroMitoSSRDB, which provides access to 2161 organelle genomes (1982 mitochondrial and 179 chloroplast genomes) with a total of 5838 perfect chloroplast SSRs, 37 297 imperfect chloroplast SSRs, 5898 perfect mitochondrial SSRs and 50 355 imperfect mitochondrial SSRs across organelle genomes. In the present research, we have updated ChloroMitoSSRDB by systematically analyzing and adding additional 191 chloroplast and 2102 mitochondrial genomes. With the recent update, ChloroMitoSSRDB 2.00 provides access to a total of 4454 organelle genomes displaying a total of 40 653 IMEx Perfect SSRs (11 802 Chloroplast Perfect SSRs and 28 851 Mitochondria Perfect SSRs), 275 981 IMEx Imperfect SSRs (78 972 Chloroplast Imperfect SSRs and 197 009 Mitochondria Imperfect SSRs), 35 250 MISA (MIcroSAtellite identification tool) Perfect SSRs and 3211 MISA Compound SSRs and associated information such as location of the repeats (coding and non-coding), size of repeat, motif and length polymorphism, and primer pairs. Additionally, we have integrated and made available several in silico SSRs mining tools through a unified web-portal for in silico repeat mining for assembled organelle genomes and from next generation sequencing reads. ChloroMitoSSRDB 2.00 allows the end user to perform multiple SSRs searches and easy browsing through the SSRs using two repeat algorithms and provide primer pair information for identified SSRs for evolutionary genomics.Database URL: http://www.mcr.org.in/chloromitossrdb.

Indexed as

Databases, GeneticGenome, ChloroplastGenome, MitochondrialMicrosatellite RepeatsMolecular Sequence AnnotationInternetPlantsSequence Analysis, DNA

Identifiers

PMID26412851
PMCPMC4584093
OpenAlexW2294221248

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.