FrAnTK: a Frequency-based Analysis ToolKit for efficient exploration of allele sharing patterns in present-day and ancient genomic datasets
Open accessAbstract
Present-day and ancient population genomic studies from different study organisms have rapidly become accessible to diverse research groups worldwide. Unfortunately, as datasets and analyses become more complex, researchers with less computational experience often miss their chance to analyze their own data. We introduce FrAnTK, a user-friendly toolkit for computation and visualization of allele frequency-based statistics in ancient and present-day genome variation datasets. We provide fast, memory-efficient tools that allow the user to go from sequencing data to complex exploratory analyses and visual representations with minimal data manipulation. Its simple usage and low computational requirements make FrAnTK ideal for users that are less familiar with computer programming carrying out large-scale population studies.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
The Sequence Alignment/Map format and SAMtools
Li, H., Handsaker, B., Wysoker, A., Fennell, T., Ruan, J., Homer, N., Marth, G., Abecasis, G., Durbin, R., & 1000 Genome Project Data Processing Subgroup (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp352 · Cited by 62,041 · see citing works
Wickham, H. (2016) · Use R! · doi:10.1007/978-3-319-24277-4 · Cited by 33,612 · see citing works
Second-generation PLINK: rising to the challenge of larger and richer datasets
Chang, C. C., Chow, C. C., Tellier, L. C., Vattikuti, S., Purcell, S. M., & Lee, J. J. (2015) · Gigascience · doi:10.1186/s13742-015-0047-8 · Cited by 12,709 · see citing works
Fast model-based estimation of ancestry in unrelated individuals
Alexander, D. H., Novembre, J., & Lange, K. (2009) · Genome Research · doi:10.1101/gr.094052.109 · Cited by 9,898 · see citing works
Population Structure and Eigenanalysis
Patterson, N., Price, A. L., & Reich, D. (2006) · PLoS Genetics · doi:10.1371/journal.pgen.0020190 · Cited by 5,280 · see citing works
ANGSD: Analysis of Next Generation Sequencing Data
Korneliussen, T. S., Albrechtsen, A., & Nielsen, R. (2014) · BMC Bioinformatics · doi:10.1186/s12859-014-0356-4 · Cited by 2,982 · see citing works
Ancient Admixture in Human History
Patterson, N., Moorjani, P., Luo, Y., Mallick, S., Rohland, N., Zhan, Y., Genschoreck, T., Webster, T., & Reich, D. (2012) · Genetics · doi:10.1534/genetics.112.145037 · Cited by 2,848 · see citing works
Inference of population splits and mixtures from genome-wide allele frequency data
Pickrell, J. K., & Pritchard, J. K. (2012) · PLoS Genetics · doi:10.1371/journal.pgen.1002967 · Cited by 2,731 · see citing works
The complete genome sequence of a Neanderthal from the Altai Mountains
Prüfer, K., Racimo, F., Patterson, N., Jay, F., Sankararaman, S., Sawyer, S., Heinze, A., Renaud, G., Sudmant, P. H., de Filippo, C., et al. (2014) · Nature · doi:10.1038/nature12886 · Cited by 2,254 · see citing works
A high-coverage genome sequence from an archaic denisovan individual
Meyer, M., Kircher, M., Gansauge, M.-T., Li, H., Racimo, F., Mallick, S., Schraiber, J. G., Jay, F., Prüfer, K., de Filippo, C., et al. (2012) · Science · doi:10.1126/science.1224344 · Cited by 1,967 · see citing works
Worldwide Human Relationships Inferred from Genome-Wide Patterns of Variation
Li, J. Z., Absher, D. M., Tang, H., Southwick, A. M., Casto, A. M., Ramachandran, S., Cann, H. M., Barsh, G. S., Feldman, M. W., Cavalli-Sforza, L. L., et al. (2008) · Science · doi:10.1126/science.1153717 · Cited by 1,947 · see citing works
The Simons Genome Diversity Project: 300 genomes from 142 diverse populations
Mallick, S., Li, H., Lipson, M., Mathieson, I., Gymrek, M., Racimo, F., Zhao, M., Chennagiri, N., Nordenfelt, S., Tandon, A., et al. (2016) · Nature · doi:10.1038/nature18964 · Cited by 1,584 · see citing works
Genotype and SNP calling from next-generation sequencing data
Nielsen, R., Paul, J. S., Albrechtsen, A., & Song, Y. S. (2011) · Nature Reviews Genetics · doi:10.1038/nrg2986 · Cited by 1,396 · see citing works
Ancient human genomes suggest three ancestral populations for present-day Europeans
Lazaridis, I., Patterson, N., Mittnik, A., Renaud, G., Mallick, S., Kirsanow, K., Sudmant, P. H., Schraiber, J. G., Castellano, S., Lipson, M., et al. (2014) · Nature · doi:10.1038/nature13673 · Cited by 1,357 · see citing works
Insights into human genetic variation and population history from 929 diverse genomes
Bergström, A., McCarthy, S. A., Hui, R., Almarri, M. A., Ayub, Q., Danecek, P., Chen, Y., Felkel, S., Hallast, P., Kamm, J., et al. (2020) · Science · doi:10.1126/science.aay5012 · Cited by 1,020 · see citing works
Patterns of damage in genomic DNA sequences from a neandertal
Briggs, A. W., Stenzel, U., Johnson, P. L. F., Green, R. E., Kelso, J., Prüfer, K., Meyer, M., Krause, J., Ronan, M. T., Lachmann, M., et al. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0704665104 · Cited by 981 · see citing works
Upper Palaeolithic Siberian genome reveals dual ancestry of Native Americans
Raghavan, M., Skoglund, P., Graf, K. E., Metspalu, M., Albrechtsen, A., Moltke, I., Rasmussen, S., Stafford Jr, T. W., Orlando, L., Metspalu, E., et al. (2014) · Nature · doi:10.1038/nature12736 · Cited by 963 · see citing works
Reconstructing Native American population history
Reich, D., Patterson, N. J., Campbell, D., Tandon, A., Mazières, S., Ray, N., Parra, M. V., Rojas, W., Duque, C., Mesa, N., et al. (2012) · Nature · doi:10.1038/nature11258 · Cited by 849 · see citing works
The Beaker phenomenon and the genomic transformation of northwest Europe
Olalde, Í., Brace, S., Allentoft, M. E., Armit, I., Kristiansen, K., Booth, T. J., Rohland, N., Mallick, S., Szécsényi‐Nagy, A., Mittnik, A., et al. (2018) · Nature · doi:10.1038/nature25738 · Cited by 734 · see citing works
Genetic evidence for two founding populations of the Americas
Skoglund, P., Mallick, S., Bortolini, M. C., Chennagiri, N., Hünemeier, T., Petzl‐Erler, M. L., Salzano, F. M., Patterson, N. J., & Reich, D. (2015) · Nature · doi:10.1038/nature14895 · Cited by 441 · see citing works
Ancient genomes revisit the ancestry of domestic and Przewalski’s horses
Gaunitz, C., Fages, A., Hanghøj, K., Albrechtsen, A., Khan, N., Schubert, M., Seguin‐Orlando, A., Owens, I. J., Felkel, S., Bignon‐Lau, O., et al. (2018) · Science · doi:10.1126/science.aao3297 · Cited by 371 · see citing works
Population genomics of the Viking world
Margaryan, A., Lawson, D. J., Sikora, M., Racimo, F., Rasmussen, S., Moltke, I., Cassidy, L. M., Jørsboe, E., Ingason, A., Pedersen, M. W., et al. (2020) · Nature · doi:10.1038/s41586-020-2688-8 · Cited by 336 · see citing works
Self-citationGünther, T., & Nettelblad, C. (2019) · PLOS Genetics · doi:10.1371/journal.pgen.1008302 · Cited by 228 · see citing works
Ramos‐Madrigal, J., Smith, B. D., Moreno-Mayar, J. V., Gopalakrishnan, S., Ross‐Ibarra, J., Gilbert, M. T. P., & Wales, N. (2016) · Current Biology · doi:10.1016/j.cub.2016.09.036 · Cited by 162 · see citing works
Self-citationadmixr —R package for reproducible analyses using ADMIXTOOLS
Petr, M., Vernot, B., & Kelso, J. F. (2019) · Bioinformatics · doi:10.1093/bioinformatics/btz030 · Cited by 148 · see citing works
Genomes of Pleistocene Siberian Wolves Uncover Multiple Extinct Wolf Lineages
Ramos‐Madrigal, J., Sinding, M. S., Carøe, C., Mak, S. S. T., Niemann, J., Castruita, J. A. S., Fedorov, S., Kandyba, A. V., Germonpré, M., Bocherens, H., et al. (2020) · Current Biology · doi:10.1016/j.cub.2020.10.002 · Cited by 67 · see citing works
Malaspinas, A.-S., Tange, O., Moreno-Mayar, J. V., Rasmussen, M., DeGiorgio, M., Wang, Y., Valdiosera, C. E., Politis, G., Willerslev, E., & Nielsen, R. (2014) · Bioinformatics · doi:10.1093/bioinformatics/btu410 · Cited by 45 · see citing works
Self-citation更新世シベリアオオカミのゲノムは複数の絶滅のオオカミ系統を明らかにする【JST・京大機械翻訳】
Jazmin, R.-M., Sinding, M. S., Christian, C., et al. (2021) · Current Biology · Cited by 4 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Ancient Rapanui genomes reveal resilience and pre-European contact with the Americas
Moreno-Mayar, J. V., Sousa da Mota, B., Higham, T., Klemm, S., Gorman Edmunds, M., Stenderup, J., Iraeta-Orbegozo, M., Laborde, V., Heyer, E., Torres Hochstetter, F., et al. (2024) · Nature · doi:10.1038/s41586-024-07881-4 · Cited by 20 · see citing works
Self-citation
- Authors
- Moreno-Mayar, J. V.
- Affiliations
- University of Copenhagen (DK)
- Corresponding author
- Moreno-Mayar, J Víctor
- Venue
- G3 Genes|Genomes|Genetics
- Publisher
- Oxford University Press (OUP)
- Published
- 2021-10-13
- Volume
- 12
- Issue
- 1
- ISSN
- 2160-1836 (ISSN-L)
- PMC
- PMC8727993
- OpenAlex
- W3205905842
- Cited by
- 4
- References
- 28
- Citations by year
- 2025: 2 · 2024: 2
- FWCI
- 0.28
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- G3 Genes Genomes Genetics (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Research at the University of Copenhagen (University of Copenhagen) (submittedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Lundbeck Foundation
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic diversity and population structure
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Forensic and Genetic Research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
- Keywords
- ancient genomes, population genomics, genomic variation, data visualization, memory-efficient computation, non-programmers
- MeSH terms
- Alleles, Software, Computational Biology, Genomics
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review