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16GT: a fast and sensitive variant caller using a 16-genotype probabilistic model

Research article (GigaScience, 2017) · cited 17× · AI/ML
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Summary

16GT: a fast and sensitive variant caller using a 16-genotype probabilistic model is a scholarly article[1].

Key Facts

  • 16GT: a fast and sensitive variant caller using a 16-genotype probabilistic model's instance of is recorded as scholarly article[2].

Related Entities

Michael C. Schatz Steven Salzberg

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). 16GT: a fast and sensitive variant caller using a 16-genotype probabilistic model. Retrieved October 18, 2026, from https://4ort.xyz/entity/16gt-a-fast-and-sensitive-variant-caller-using-a-16-genotype-probabilistic-model
MLA “16GT: a fast and sensitive variant caller using a 16-genotype probabilistic model.” 4ort.xyz Knowledge Graph, 4ort.xyz, 18 Oct. 2026, https://4ort.xyz/entity/16gt-a-fast-and-sensitive-variant-caller-using-a-16-genotype-probabilistic-model.
BibTeX @misc{4ortxyz_16gt-a-fast-and-sensitive-variant-caller-using-a-16-genotype-probabilistic-model_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{16GT: a fast and sensitive variant caller using a 16-genotype probabilistic model}}, year = {2026}, url = {https://4ort.xyz/entity/16gt-a-fast-and-sensitive-variant-caller-using-a-16-genotype-probabilistic-model}, note = {Accessed: 2026-10-18}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): 16GT: a fast and sensitive variant caller using a 16-genotype probabilistic model — https://4ort.xyz/entity/16gt-a-fast-and-sensitive-variant-caller-using-a-16-genotype-probabilistic-model (retrieved 2026-10-18)

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