Evidence map›Paper›PMID 24587335›Full record

ArticlePloS one2014

TASSEL-GBS: a high capacity genotyping by sequencing analysis pipeline.

Jeffrey C Glaubitz, Terry M Casstevens, Fei Lu, James Harriman, Robert J Elshire, Qi Sun, Edward S Buckler

Abstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 834 papers.

0numbers the graph read from it
0cells of the map it votes in
834citing 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

834 citing papers in PubMed.

  1. Article
  2. The effect of selection on allele frequencies and diversity in wheat (Triticum aestivum).TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026
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  3. Aphanomyces euteiches causes disease in Lathyrus sativus with a globally diverse, polygenic resistance landscape.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026
    Article
  4. Review
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  9. Genome wide association studies and expression analyses identify candidate genes for spot blotch resistance in bread wheat.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026
    Article
  10. Article
  11. Identifying marker-trait associations for wheat stem sawfly resistance.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026
    Article
  12. Advances in mutant characterization for detecting causal mutations in crop plants.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026
    Review
  13. Article
  14. Article
  15. Article
  16. First brassinosteroid-based dwarf mutant discovered and characterized in grapevine.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026
    Article
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  20. Article

774 more citing papers are in PubMed but not listed here.

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

7 authors.

Jeffrey C GlaubitzInstitute for Genomic Diversity, Cornell University, Ithaca, New York, United States of America.
Terry M CasstevensInstitute for Genomic Diversity, Cornell University, Ithaca, New York, United States of America.
Fei LuInstitute for Genomic Diversity, Cornell University, Ithaca, New York, United States of America.
James HarrimanInstitute for Genomic Diversity, Cornell University, Ithaca, New York, United States of America.
Robert J ElshireInstitute for Genomic Diversity, Cornell University, Ithaca, New York, United States of America.
Qi SunBiotechnology Resource Center Bioinformatics Facility, Cornell University, Ithaca, New York, United States of America.
Edward S BucklerInstitute for Genomic Diversity, Cornell University, Ithaca, New York, United States of America ; USDA Agricultural Research Service, Ithaca, New York, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genotyping by sequencing (GBS) is a next generation sequencing based method that takes advantage of reduced representation to enable high throughput genotyping of large numbers of individuals at a large number of SNP markers. The relatively straightforward, robust, and cost-effective GBS protocol is currently being applied in numerous species by a large number of researchers. Herein we describe a bioinformatics pipeline, TASSEL-GBS, designed for the efficient processing of raw GBS sequence data into SNP genotypes. The TASSEL-GBS pipeline successfully fulfills the following key design criteria: (1) Ability to run on the modest computing resources that are typically available to small breeding or ecological research programs, including desktop or laptop machines with only 8-16 GB of RAM, (2) Scalability from small to extremely large studies, where hundreds of thousands or even millions of SNPs can be scored in up to 100,000 individuals (e.g., for large breeding programs or genetic surveys), and (3) Applicability in an accelerated breeding context, requiring rapid turnover from tissue collection to genotypes. Although a reference genome is required, the pipeline can also be run with an unfinished "pseudo-reference" consisting of numerous contigs. We describe the TASSEL-GBS pipeline in detail and benchmark it based upon a large scale, species wide analysis in maize (Zea mays), where the average error rate was reduced to 0.0042 through application of population genetic-based SNP filters. Overall, the GBS assay and the TASSEL-GBS pipeline provide robust tools for studying genomic diversity.

Indexed as

SoftwareAnimalsBreedingData MiningGenetics, PopulationGenotyping TechniquesHigh-Throughput Nucleotide SequencingHumansPolymorphism, Single NucleotideZea mays

Identifiers

PMID24587335
PMCPMC3938676

What OpenQuestion holds

Textmetadata
LicenceCC0
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.