Evidence map›Paper›PMID 32849772›Full record

ArticleFrontiers in genetics2020

SSRMMD: A Rapid and Accurate Algorithm for Mining SSR Feature Loci and Candidate Polymorphic SSRs Based on Assembled Sequences.

Xiangjian Gou, Haoran Shi, Shifan Yu, Zhiqiang Wang, Caixia Li, Shihang Liu, Jian Ma, Guangdeng Chen, Tao Liu, Yaxi Liu

Open access · goldAbstract read
In one paragraph

Article in Frontiers in genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.9field-weighted citation impact, top 16% 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

13 citing papers in PubMed, 27 citations in OpenAlex.

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  11. Fine mapping of the tiller inhibition gene TIN4 contributing to ideal plant architecture in common wheat.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2022
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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

10 authors at 1 institution in 1 country.

Xiangjian GouTriticeae Research Institute, Sichuan Agricultural University, Chengdu, China.
Haoran ShiTriticeae Research Institute, Sichuan Agricultural University, Chengdu, China.
Shifan YuTriticeae Research Institute, Sichuan Agricultural University, Chengdu, China.
Zhiqiang WangTriticeae Research Institute, Sichuan Agricultural University, Chengdu, China.
Caixia LiTriticeae Research Institute, Sichuan Agricultural University, Chengdu, China.
Shihang LiuTriticeae Research Institute, Sichuan Agricultural University, Chengdu, China.
Jian MaTriticeae Research Institute, Sichuan Agricultural University, Chengdu, China.
Guangdeng ChenCollege of Resources, Sichuan Agricultural University, Chengdu, China.
Tao LiuCollege of Information Engineering, Sichuan Agricultural University, Ya'an, China.
Yaxi LiuTriticeae Research Institute, Sichuan Agricultural University, Chengdu, China.
Sichuan Agricultural University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microsatellites or simple sequence repeats (SSRs) are short tandem repeats of DNA widespread in genomes and transcriptomes of diverse organisms and are used in various genetic studies. Few software programs that mine SSRs can be further used to mine polymorphic SSRs, and these programs have poor portability, have slow computational speed, are highly dependent on other programs, and have low marker development rates. In this study, we develop an algorithm named Simple Sequence Repeat Molecular Marker Developer (SSRMMD), which uses improved regular expressions to rapidly and exhaustively mine perfect SSR loci from any size of assembled sequence. To mine polymorphic SSRs, SSRMMD uses a novel three-stage method to assess the conservativeness of SSR flanking sequences and then uses the sliding window method to fragment each assembled sequence to assess its uniqueness. Furthermore, molecular biology assays support the polymorphic SSRs identified by SSRMMD. SSRMMD is implemented using the Perl programming language and can be downloaded from https://github.com/GouXiangJian/SSRMMD.

Indexed as

algorithmbioinformaticsconservativenesspolymorphismsimple sequence repeatsuniqueness

Identifiers

PMID32849772
PMCPMC7398111
OpenAlexW3036657003

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.