Evidence map›Paper›PMID 38656485›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2024

Genetic Diversity Assessment in Plants from Reduced Representation Sequencing Data.

José P Jiménez-Madrigal, Bradley J Till, Andrés Gatica-Arias

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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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.

José P Jiménez-MadrigalInstituto Tecnológico de Costa Rica, Escuela de Ciencias Naturales y Exactas, Alajuela, Costa Rica. jpjimenez@itcr.ac.cr.ORCID 0000-0002-0345-8899
Bradley J TillVeterinary Genetics Laboratory, University of California, Davis, CA, USA.ORCID 0000-0002-1300-8285
Andrés Gatica-AriasEscuela de Biología, Universidad de Costa Rica, San José, Costa Rica.ORCID 0000-0002-3841-0238

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genetic diversity refers to the variety of genetic traits within a population or a species. It is an essential aspect of both plant ecology and plant breeding because it contributes to the adaptability, survival, and resilience of populations in changing environments. This chapter outlines a pipeline for estimating genetic diversity statistics from reduced representation or whole genome sequencing data. The pipeline involves obtaining DNA sequence reads, mapping the corresponding reads to a reference genome, calling variants from the alignments, and generating an unbiased estimation of nucleotide diversity and divergence between populations. The pipeline is suitable for single-end Illumina reads and can be adjusted for paired-end reads. The resulting pipeline provides a comprehensive approach for aligning and analyzing sequencing data to estimate genetic diversity.

Indexed as

Genetic VariationGenome, PlantPlantsComputational BiologyGenomicsHigh-Throughput Nucleotide SequencingSequence Analysis, DNASoftwareddRADseqDivergenceNucleotide diversityPopulation geneticsWhole genome sequencing

Identifiers

What OpenQuestion holds

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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.