Evidence map›Paper›PMID 41028369›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2026

Methods for the Construction of Core Collections Using SNP Markers.

J Aravind, Ankit Saroha, Dhammaprakash Pandhari Wankhede

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

J AravindICAR-National Bureau of Plant Genetic Resources, New Delhi, India. j.aravind@icar.org.in.
Ankit SarohaICAR-National Bureau of Plant Genetic Resources, New Delhi, India.
Dhammaprakash Pandhari WankhedeICAR-National Bureau of Plant Genetic Resources, New Delhi, India. d.wankhede@icar.org.in.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Core collections have proven to be a valuable asset in aiding management as well as enhancing access to crop diversity present in huge germplasm collections held in genebanks. Initially these were generated based on passport and phenotypic data using several randomised hierarchical sampling methods to capture the largest amount of diversity in a limited number of accessions. With the availability of large-scale molecular marker data, especially SNPs generated by high-throughput techniques, there are several alternative optimization-based algorithms available that can leverage this information for core development. Here we illustrate the construction of core sets from such data using a few such software implementations such as PowerCore, Core Hunter 3, coreCollection and ShinyCore.

Indexed as

Computational BiologyPolymorphism, Single NucleotideSeed BankAlgorithmsGenetic MarkersSoftwareGenetic MarkersCore collectionGermplasmPlant genetic resourcesSingle Nucleotide Polymorphism

Identifiers

What OpenQuestion holds

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Registered trials

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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.