Evidence map›Paper›PMID 40828274›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2025

npstat: An Efficient Tool to Explore the Population Genome Variability and Divergence Using Pool Sequencing Data.

Sebastian E Ramos-Onsins, Sara Guirao-Rico, Ahmed Hafez, Luca Ferretti

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Article in Methods in molecular biology (Clifton, N.J.), 2025. 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

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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

4 authors.

Sebastian E Ramos-OnsinsPlant and Animal Genomics Program, Centre for Research in Agricultural Genomics (CRAG), Consejo Superior de Investigaciones Científicas-Institute of Agrifood Research and Technology-Autonomous University of Barcelona-University of Barcelona, Bellaterra, Spain. sebastian.ramos@cragenomica.es.
Sara Guirao-RicoDepartament de Genètica, Microbiologia i Estadística, Universitat de Barcelona, Barcelona, Spain. sguirao@ub.edu.
Ahmed HafezBiotechvana. Technology Park of Paterna, Paterna, Valencia, Spain.
Luca FerrettiBig Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department for Medicine, University of Oxford, Oxford, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pool sequencing has emerged as a valuable approach in ecological studies, particularly when dealing with very small organisms (with limited amount of DNA available), when distinguishing individual organisms is a challenge (e.g., in colonies, microbiome), when there is a trade-off between the sequencing cost and the number of individuals to sequence, when the main goal is to estimate nucleotide variability and variant frequency patterns at the population level (that is, when individual information is not required). Estimates of variability can be efficiently explored by analyzing sequences of pooled individuals sampled from the population. When using this approach, the number of pooled individuals and the mean read depth are key choices in the experimental design.The software npstat calculates different estimates of nucleotide variability and neutrality tests.It also calculates the number of synonymous and nonsynonymous variants and the proportion of beneficial substitutions (alpha) using the MKT approach when GTF annotation file and an outgroup is provided.

Indexed as

Computational BiologyGenetics, PopulationGenetic VariationSequence Analysis, DNASoftwareHigh-Throughput Nucleotide SequencingDivergencePolymorphismPopulation genomicsProportion of beneficial substitutionsSliding window analyses

Identifiers

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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.