Evidence map›Paper›PMID 32037446›Full record

ArticleThe Journal of heredity2020

Population Genomics Training for the Next Generation of Conservation Geneticists: ConGen 2018 Workshop.

Amanda Stahlke, Donavan Bell, Tashi Dhendup, Brooke Kern, Samuel Pannoni, Zachary Robinson, Jeffrey Strait, Seth Smith, Brian K Hand, Paul A Hohenlohe and 1 more

Abstract read
In one paragraph

Article in The Journal of heredity, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
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

11 authors.

Amanda StahlkeInstitute for Bioinformatics and Evolutionary Studies, University of Idaho, Moscow, ID.
Donavan BellWildlife Biology Program, College of Forestry and Conservation, University of Montana, Missoula, MT.
Tashi DhendupWildlife Biology Program, College of Forestry and Conservation, University of Montana, Missoula, MT.
Brooke KernDivision of Biological Sciences, College of Humanities and Sciences, University of Montana, Missoula, MT.
Samuel PannoniWildlife Biology Program, College of Forestry and Conservation, University of Montana, Missoula, MT.
Zachary RobinsonWildlife Biology Program, College of Forestry and Conservation, University of Montana, Missoula, MT.
Jeffrey StraitWildlife Biology Program, College of Forestry and Conservation, University of Montana, Missoula, MT.
Seth SmithWildlife Biology Program, College of Forestry and Conservation, University of Montana, Missoula, MT.
Brian K HandDivision of Biological Sciences, College of Humanities and Sciences, University of Montana, Missoula, MT.
Paul A HohenloheInstitute for Bioinformatics and Evolutionary Studies, University of Idaho, Moscow, ID.
Gordon LuikartWildlife Biology Program, College of Forestry and Conservation, University of Montana, Missoula, MT.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The increasing availability and complexity of next-generation sequencing (NGS) data sets make ongoing training an essential component of conservation and population genetics research. A workshop entitled "ConGen 2018" was recently held to train researchers in conceptual and practical aspects of NGS data production and analysis for conservation and ecological applications. Sixteen instructors provided helpful lectures, discussions, and hands-on exercises regarding how to plan, produce, and analyze data for many important research questions. Lecture topics ranged from understanding probabilistic (e.g., Bayesian) genotype calling to the detection of local adaptation signatures from genomic, transcriptomic, and epigenomic data. We report on progress in addressing central questions of conservation genomics, advances in NGS data analysis, the potential for genomic tools to assess adaptive capacity, and strategies for training the next generation of conservation genomicists.

Indexed as

Conservation of Natural ResourcesBayes TheoremEpigenomicsGenetics, PopulationGenotypeHigh-Throughput Nucleotide SequencingMetagenomicsPopulation DensityTranscriptomeadaptive capacityconservation genetics pedagogyeffective population sizeevolutionary significant unitspopulation genomic data analysis

Identifiers

PMID32037446
PMCPMC7117792

What OpenQuestion holds

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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.