Evidence map›Paper›PMID 35727543›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2022

Population Genomics Analysis with RAD, Reprised: Stacks 2.

Angel G Rivera-Colón, Julian Catchen

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing 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

30 citing papers in PubMed.

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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

2 authors.

Angel G Rivera-ColónDepartment of Evolution, Ecology, and Behavior, University of Illinois at Urbana-Champaign, Urbana, IL, USA.ORCID 0000-0001-9097-3241
Julian CatchenDepartment of Evolution, Ecology, and Behavior, University of Illinois at Urbana-Champaign, Urbana, IL, USA. jcatchen@illinois.edu.ORCID 0000-0002-4798-660X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Restriction enzymes have been one of the primary tools in the population genetics toolkit for 50 years, being coupled with each new generation of technology to provide a more detailed view into the genetics of natural populations. Restriction site-Associated DNA protocols, which joined enzymes with short-read sequencing technology, have democratized the field of population genomics, providing a means to assay the underlying alleles in scores of populations. More than 10 years on, the technique has been widely applied across the tree of life and served as the basis for many different analysis techniques. Here, we provide a detailed protocol to conduct a RAD analysis from experimental design to de novo analysis-including parameter optimization-as well as reference-based analysis, all in Stacks version 2, which is designed to work with paired-end reads to assemble RAD loci up to 1000 nucleotides in length. The protocol focuses on major points of friction in the molecular approaches and downstream analysis, with special attention given to validating experimental analyses. Finally, the protocol provides several points of departure for further analysis.

Indexed as

GenomicsMetagenomicsDNA Restriction EnzymesGenetics, PopulationPolymorphism, Single NucleotideSequence Analysis, DNADNA Restriction EnzymesLinkage disequilibriumPopulation geneticsPopulation structureRAD analysisSimulation

Identifiers

What OpenQuestion holds

Textmetadata
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.