RFMix: a discriminative modeling approach for rapid and robust local-ancestry inference.

By B. K. Maples, Simon Gravel, Eimear E. Kenny, Carlos D. Bustamante. American Journal of Human Genetics, 2013

854 citations recorded by the source corpus.

Subfields: Cancer Research, Genetics

View Paper: https://www.semanticscholar.org/paper/3262254f546d9e2b4a71a108b38bdacf6a933405

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In Cancer Research

1. Oliver Stegle
2. Steven L. Salzberg
3. Michael C. Schatz
4. Mark Diekhans
5. Eric Boerwinkle
6. Aaron M. Wenger

In Genetics

1. Heng Li
2. Sharon R. Browning
3. Brian L. Browning
4. Richard Durbin
5. Gonçalo R. Abecasis
6. Steven L. Salzberg
7. Michael C. Schatz
8. Christian Fuchsberger

Citations in the corpus

• Revealing multi-scale population structure in large cohorts (2018, background): “Admixture proportions for each individual were estimated in (14) by assuming ancestral African, Asian/Native American, and European populations using RFMIX (15).”
• The complete sequence of a human genome (2021, background): “com/slowkoni/rfmix) to infer the local ancestry of the CHM13 genome (62).”
• Evaluating the Use of ABBA–BABA Statistics to Locate Introgressed Loci (2014, methodology): “…it had the lowest diversity by some margin, as expected given its reduced effective population size, and the highest variance among D values for 5 kb windows, despite the fact that previous chromosome-wide analyses suggest very limited gene flow affecting this chromosome (Martin et al. 2013).”
• Haplotype-resolved diverse human genomes and integrated analysis of structural variation (2021, methodology): “We applied amachine-learningmethod( 47 )anddeveloped a hidden Markov model to identify ancestry-informative SNVs and to assign ancestral segments per block on the basis of population genetic data from the Simons Genome Diversity Project (SGDP) ( 18 , 48 ).”
• Sequencing of 53,831 diverse genomes from the NHLBI TOPMed Program (2019, methodology): “From the TOPMed freeze 5 dataset, we selected a subset of 1,000 unrelated individuals of African ancestry, 1,000 unrelated individuals of East Asian ancestry and 1,000 unrelated individuals of European ancestry, with the ancestry of each individual inferred across 7 global reference populations usin”