Evidence map›Paper›PMID 38162302›Full record

ArticleFrontiers in plant science2023

MegaSSR: a web server for large scale microsatellite identification, classification, and marker development.

Morad M Mokhtar, Alsamman M Alsamman, Achraf El Allali

Abstract read
In one paragraph

Article in Frontiers in plant science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Genetic Diversity and Conservation ofPlants (Basel, Switzerland) · 2025
    Article
  9. Article
  10. Article
  11. Article
  12. Unraveling the pathogenomics ofFrontiers in microbiology · 2025
    Article
  13. Review
  14. RiceMetaSys: Drought-miR, a one-stop solution for drought responsive miRNAs-mRNA module in rice.Database : the journal of biological databases and curation · 2024
    Article
  15. Article
  16. Review
  17. 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

3 authors.

Morad M MokhtarBioinformatics Laboratory, College of Computing, Mohammed VI Polytechnic University, Benguerir, Morocco.
Alsamman M AlsammanBioinformatics Laboratory, College of Computing, Mohammed VI Polytechnic University, Benguerir, Morocco.
Achraf El AllaliBioinformatics Laboratory, College of Computing, Mohammed VI Polytechnic University, Benguerir, Morocco.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Next-generation sequencing technologies have opened new avenues for using genomic data to study and develop molecular markers and improve genetic resources. Simple Sequence Repeats (SSRs) as genetic markers are increasingly used in molecular diversity and molecular breeding programs that require bioinformatics pipelines to analyze the large amounts of data. Therefore, there is an ongoing need for online tools that provide computational resources with minimal effort and maximum efficiency, including automated development of SSR markers. These tools should be flexible, customizable, and able to handle the ever-increasing amount of genomic data. Here we introduce MegaSSR (https://bioinformatics.um6p.ma/MegaSSR), a web server and a standalone pipeline that enables the design of SSR markers in any target genome. MegaSSR allows users to design targeted PCR-based primers for their selected SSR repeats and includes multiple tools that initiate computational pipelines for SSR mining, classification, comparisons, PCR primer design,

Indexed as

bioinformatic pipelineMegaSSR web serverNon-redundant SSR librarySimple Sequence RepeatsSSR markers

Identifiers

PMID38162302
PMCPMC10757629

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.