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Twelve years of SAMtools and BCFtools
Open accessAbstract
Background: SAMtools and BCFtools are widely used programs for processing and analysing high-throughput sequencing data. They include tools for file format conversion and manipulation, sorting, querying, statistics, variant calling, and effect analysis amongst other methods. Findings: The first version appeared online 12 years ago and has been maintained and further developed ever since, with many new features and improvements added over the years. The SAMtools and BCFtools packages represent a unique collection of tools that have been used in numerous other software projects and countless genomic pipelines. Conclusion: Both SAMtools and BCFtools are freely available on GitHub under the permissive MIT licence, free for both non-commercial and commercial use. Both packages have been installed >1 million times via Bioconda. The source code and documentation are available from https://www.htslib.org.
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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
Self-citationA global reference for human genetic variation
The 1000 Genomes Project Consortium, authors, C., Auton, A., Abecasis, G. R., Steering committee, Altshuler, D. M., Durbin, R. M., Abecasis, G. R., Bentley, D. R., Chakravarti, A., et al. (2015) · Nature · doi:10.1038/nature15393 · Cited by 18,247
Self-citation
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A draft human pangenome reference.
Liao, W.-W., Asri, M., Ebler, J., Doerr, D., Haukness, M., Hickey, G., Lu, S., Lucas, J. K., Monlong, J., Abel, H. J., et al. (2023) · Nature · doi:10.1038/s41586-023-05896-x · Cited by 1,129
“9 was used for filtering the variant sets (Danecek et al., 2021).”
MethodSelf-citationByrska-Bishop, M., Evani, U. S., Zhao, X., Basile, A. O., Abel, H. J., Regier, A. A., Corvelo, A., Clarke, W. E., Musunuri, R., Nagulapalli, K., et al. (2022) · Cell · doi:10.1016/j.cell.2022.08.004 · Cited by 1,094
The complete sequence of a human Y chromosome
Rhie, A., Nurk, S., Cechova, M., Hoyt, S. J., Taylor, D. J., Altemose, N., Hook, P. W., Koren, S., Rautiainen, M., Alexandrov, I. A., et al. (2023) · Nature · doi:10.1038/s41586-023-06457-y · Cited by 471
Self-citationA complete reference genome improves analysis of human genetic variation
Aganezov, S., Yan, S. M., Soto, D. C., Kirsche, M., Zarate, S., Avdeyev, P., Taylor, D. J., Shafin, K., Shumate, A., Xiao, C., et al. (2022) · Science · doi:10.1126/science.abl3533 · Cited by 441
Senescence atlas reveals an aged-like inflamed niche that blunts muscle regeneration
Moiseeva, V., Cisneros, A., Sica, V., Deryagin, O., Lai, Y., Jung, S., Andrés, E., An, J., Segalés, J., Ortet, L., et al. (2023) · Nature · doi:10.1038/s41586-022-05535-x · Cited by 423
AlphaGenome: advancing regulatory variant effect prediction with a unified DNA sequence model
Avsec, Ž., Latysheva, N., Cheng, J., Novati, G., Taylor, K. R., Ward, T., Bycroft, C., Nicolaisen, L., Arvaniti, E., Pan, J., et al. (2025) · doi:10.1101/2025.06.25.661532 · Cited by 395
Advancing regulatory variant effect prediction with AlphaGenome
Avsec, Ž., Latysheva, N., Cheng, J., Novati, G., Taylor, K. R., Ward, T., Bycroft, C., Nicolaisen, L., Arvaniti, E., Pan, J., et al. (2026) · Nature · doi:10.1038/s41586-025-10014-0 · Cited by 373
Pangenome graph construction from genome alignments with Minigraph-Cactus
Hickey, G., Monlong, J., Ebler, J., Novak, A. M., Eizenga, J. M., Gao, Y., Human Pangenome Reference Consortium, Abel, H. J., Antonacci-Fulton, L. L., Asri, M., et al. (2024) · Nature Biotechnology · doi:10.1038/s41587-023-01793-w · Cited by 343
Self-citationA reference human induced pluripotent stem cell line for large-scale collaborative studies
Pantazis, C. B., Yang, A., Lara, E., McDonough, J. A., Blauwendraat, C., Peng, L., Oguro, H., Kanaujiya, J., Zou, J., Sebesta, D., et al. (2022) · Cell Stem Cell · doi:10.1016/j.stem.2022.11.004 · Cited by 310
Epigenetic patterns in a complete human genome
Gershman, A., Sauria, M. E. G., Guitart, X., Vollger, M. R., Hook, P. W., Hoyt, S. J., Jain, M., Shumate, A., Razaghi, R., Koren, S., et al. (2022) · Science · doi:10.1126/science.abj5089 · Cited by 297
Novel antigen-presenting cell imparts Treg-dependent tolerance to gut microbiota
Akagbosu, B., Tayyebi, Z., Shibu, G., Paucar Iza, Y. A., Deep, D., Parisotto, Y. F., Fisher, L., Pasolli, H. A., Thevin, V., Elmentaite, R., et al. (2022) · Nature · doi:10.1038/s41586-022-05309-5 · Cited by 273
Bile Acids Are Substrates for Amine N-Acyl Transferase Activity by Bile Salt Hydrolase
Patterson, A., Rimal, B., Collins, S., Granda, M., Koo, I., Solanka, S., Hoque, N., Gentry, E., Yan, T., Bisanz, J., et al. (2022) · doi:10.21203/rs.3.rs-2050120/v1 · Cited by 252
Truvari: refined structural variant comparison preserves allelic diversity
English, A. C., Menon, V. K., Gibbs, R. A., Metcalf, G. A., & Sedlazeck, F. J. (2022) · Genome Biology · doi:10.1186/s13059-022-02840-6 · Cited by 236
Deeply conserved synteny and the evolution of metazoan chromosomes
Simakov, O., Bredeson, J., Berkoff, K., Marletaz, F., Mitros, T., Schultz, D. T., O’Connell, B. L., Dear, P., Martinez, D. E., Steele, R. E., et al. (2022) · Science Advances · doi:10.1126/sciadv.abi5884 · Cited by 197
Macrophage-mediated myelin recycling fuels brain cancer malignancy
Kloosterman, D. J., Erbani, J., Boon, M., Farber, M., Handgraaf, S. M., Ando-Kuri, M., Sánchez-López, E., Fontein, B., Mertz, M., Nieuwland, M., et al. (2024) · Cell · doi:10.1016/j.cell.2024.07.030 · Cited by 231
A TCF4-dependent gene regulatory network confers resistance to immunotherapy in melanoma
Pozniak, J., Pedri, D., Landeloos, E., Van Herck, Y., Antoranz, A., Vanwynsberghe, L., Nowosad, A., Roda, N., Makhzami, S., Bervoets, G., et al. (2024) · Cell · doi:10.1016/j.cell.2023.11.037 · Cited by 199
Single-cell DNA methylation and 3D genome architecture in the human brain
Tian, W., Zhou, J., Bartlett, A., Zeng, Q., Liu, H., Castanon, R. G., Kenworthy, M., Altshul, J., Valadon, C., Aldridge, A., et al. (2023) · Science · doi:10.1126/science.adf5357 · Cited by 154
Humphrey, J., Venkatesh, S., Hasan, R., Herb, J. T., de Paiva Lopes, K., Küçükali, F., Byrska-Bishop, M., Evani, U. S., Narzisi, G., Fagegaltier, D., et al. (2023) · Nature Neuroscience · doi:10.1038/s41593-022-01205-3 · Cited by 138
Chen, A. F., Parks, B., Kathiria, A. S., Ober-Reynolds, B., Goronzy, J. J., & Greenleaf, W. J. (2022) · Nature Methods · doi:10.1038/s41592-022-01461-y · Cited by 139
Personal transcriptome variation is poorly explained by current genomic deep learning models
Huang, C., Shuai, R. W., Baokar, P., Chung, R., Rastogi, R., Kathail, P., & Ioannidis, N. M. (2023) · Nature Genetics · doi:10.1038/s41588-023-01574-w · Cited by 127
Nassar, A. H., Adib, E., Abou Alaiwi, S., El Zarif, T., Groha, S., Akl, E. W., Nuzzo, P. V., Mouhieddine, T. H., Perea-Chamblee, T., Taraszka, K., et al. (2022) · Cancer Cell · doi:10.1016/j.ccell.2022.08.022 · Cited by 121
Increased mutation and gene conversion within human segmental duplications
Vollger, M. R., Dishuck, P. C., Harvey, W. T., DeWitt, W. S., Guitart, X., Goldberg, M. E., Rozanski, A. N., Lucas, J., Asri, M., Human Pangenome Reference Consortium, et al. (2023) · Nature · doi:10.1038/s41586-023-05895-y · Cited by 104
Self-citationRNA m5C oxidation by TET2 regulates chromatin state and leukaemogenesis
Zou, Z., Dou, X., Li, Y., Zhang, Z., Wang, J., Gao, B., Xiao, Y., Wang, Y., Zhao, L., Sun, C., et al. (2024) · Nature · doi:10.1038/s41586-024-07969-x · Cited by 103
Phelps, C. M., Willis, N. B., Duan, T., Lee, A. H., Zhang, Y., Rodriguez J, D. M., Pandey, S. P., Laughlin, C. R., Rosen, A. B. I., McPherson, A. C., et al. (2025) · Cell · doi:10.1016/j.cell.2025.06.018 · Cited by 91
Røssevold, A. H., Andresen, N. K., Bjerre, C. A., Gilje, B., Jakobsen, E. H., Raj, S. X., Falk, R. S., Russnes, H. G., Jahr, T., Mathiesen, R. R., et al. (2022) · Nature Medicine · doi:10.1038/s41591-022-02126-1 · Cited by 89
Haplotype-aware pantranscriptome analyses using spliced pangenome graphs
Sibbesen, J. A., Eizenga, J. M., Novak, A. M., Sirén, J., Chang, X., Garrison, E., & Paten, B. (2023) · Nature Methods · doi:10.1038/s41592-022-01731-9 · Cited by 83
Colibactin-driven colon cancer requires adhesin-mediated epithelial binding
Jans, M., Kolata, M., Blancke, G., D’Hondt, A., Gräf, C., Ciers, M., Sze, M., Thiran, A., Petta, I., Andries, V., et al. (2024) · Nature · doi:10.1038/s41586-024-08135-z · Cited by 84
Dietary- and host-derived metabolites are used by diverse gut bacteria for anaerobic respiration
Little, A. S., Younker, I. T., Schechter, M. S., Bernardino, P. N., Méheust, R., Stemczynski, J., Scorza, K., Mullowney, M. W., Sharan, D., Waligurski, E., et al. (2024) · Nature Microbiology · doi:10.1038/s41564-023-01560-2 · Cited by 80
Next-generation data filtering in the genomics era
Hemstrom, W., Grummer, J. A., Luikart, G., & Christie, M. R. (2024) · Nature Reviews Genetics · doi:10.1038/s41576-024-00738-6 · Cited by 77
Mpox virus infection and drug treatment modelled in human skin organoids
Li, P., Pachis, S. T., Xu, G., Schraauwen, R., Incitti, R., de Vries, A. C., Bruno, M. J., Peppelenbosch, M. P., Alam, I., Raymond, K., et al. (2023) · Nature Microbiology · doi:10.1038/s41564-023-01489-6 · Cited by 77
Peng, T., Ma, X., Hua, W., Wang, C., Chu, Y., Sun, M., Fermi, V., Hamelmann, S., Lindner, K., Shao, C., et al. (2025) · Cell Stem Cell · doi:10.1016/j.stem.2025.01.002 · Cited by 86
Shade, L. M. P., Katsumata, Y., Abner, E. L., Aung, K. Z., Claas, S. A., Qiao, Q., Heberle, B. A., Brandon, J. A., Page, M. L., Hohman, T. J., et al. (2024) · Nature Genetics · doi:10.1038/s41588-024-01939-9 · Cited by 72
Community-wide genome sequencing reveals 30 years of Darwin’s finch evolution
Enbody, E. D., Sendell-Price, A. T., Sprehn, C. G., Rubin, C.-J., Visscher, P. M., Grant, B. R., Grant, P. R., & Andersson, L. (2023) · Science · doi:10.1126/science.adf6218 · Cited by 75
Analysis and benchmarking of small and large genomic variants across tandem repeats
English, A. C., Dolzhenko, E., Ziaei Jam, H., McKenzie, S. K., Olson, N. D., De Coster, W., Park, J., Gu, B., Wagner, J., Eberle, M. A., et al. (2025) · Nature Biotechnology · doi:10.1038/s41587-024-02225-z · Cited by 68
UBR5 forms ligand-dependent complexes on chromatin to regulate nuclear hormone receptor stability
Tsai, J. M., Aguirre, J. D., Li, Y.-D., Brown, J., Focht, V., Kater, L., Kempf, G., Sandoval, B., Schmitt, S., Rutter, J. C., et al. (2023) · Molecular Cell · doi:10.1016/j.molcel.2023.06.028 · Cited by 68
HIF regulates multiple translated endogenous retroviruses: Implications for cancer immunotherapy
Jiang, Q., Braun, D. A., Clauser, K. R., Ramesh, V., Shirole, N. H., Duke-Cohan, J. E., Nabilsi, N., Kramer, N. J., Forman, C., Lippincott, I. E., et al. (2025) · Cell · doi:10.1016/j.cell.2025.01.046 · Cited by 68
Evolutionary diversification of methanotrophic ANME-1 archaea and their expansive virome
Laso-Pérez, R., Wu, F., Crémière, A., Speth, D. R., Magyar, J. S., Zhao, K., Krupovic, M., & Orphan, V. J. (2023) · Nature Microbiology · doi:10.1038/s41564-022-01297-4 · Cited by 68
Gene losses in the common vampire bat illuminate molecular adaptations to blood feeding
Blumer, M., Brown, T., Freitas, M. B., Destro, A. L., Oliveira, J. A., Morales, A. E., Schell, T., Greve, C., Pippel, M., Jebb, D., et al. (2022) · Science Advances · doi:10.1126/sciadv.abm6494 · Cited by 65
Wang, B., Pozarickij, A., Mazidi, M., Wright, N., Yao, P., Said, S., Iona, A., Kartsonaki, C., Fry, H., Lin, K., et al. (2025) · Nature Communications · doi:10.1038/s41467-025-56935-2 · Cited by 64
Ning, Y., Xiao, M., Perlin, D. S., Zhao, Y., Lu, M., Li, Y., Luo, Z., Dai, R., Li, S., Xu, J., et al. (2023) · Emerging Microbes & Infections · doi:10.1080/22221751.2022.2153086 · Cited by 63
Transposon-encoded nucleases use guide RNAs to promote their selfish spread
Meers, C., Le, H. C., Pesari, S. R., Hoffmann, F. T., Walker, M. W. G., Gezelle, J., Tang, S., & Sternberg, S. H. (2023) · Nature · doi:10.1038/s41586-023-06597-1 · Cited by 60
Xu, Z., Sziraki, A., Lee, J., Zhou, W., & Cao, J. (2024) · Nature Biotechnology · doi:10.1038/s41587-023-01948-9 · Cited by 52
Discovery of disease-adapted bacterial lineages in inflammatory bowel diseases
Kumbhari, A., Cheng, T. N. H., Ananthakrishnan, A. N., Kochar, B., Burke, K. E., Shannon, K., Lau, H., Xavier, R. J., & Smillie, C. S. (2024) · Cell Host & Microbe · doi:10.1016/j.chom.2024.05.022 · Cited by 54
Xia, X., Zhang, F., Li, S., Luo, X., Peng, L., Dong, Z., Pausch, H., Leonard, A. S., Crysnanto, D., Wang, S., et al. (2023) · Genome biology · doi:10.1186/s13059-023-03052-2 · Cited by 53
Rocafort, M., Bowen, J. K., Hassing, B., Cox, M. P., McGreal, B., de la Rosa, S., Plummer, K. M., Bradshaw, R. E., & Mesarich, C. H. (2022) · BMC Biology · doi:10.1186/s12915-022-01442-9 · Cited by 52
Lin, L., DeMartino, J., Wang, D., van Son, G. J. F., van der Linden, R., Begthel, H., Korving, J., Andersson-Rolf, A., van den Brink, S., Lopez-Iglesias, C., et al. (2023) · Science · doi:10.1126/science.adi2246 · Cited by 50
Structural basis of LRPPRC–SLIRP-dependent translation by the mitoribosome
Singh, V., Moran, J. C., Itoh, Y., Soto, I. C., Fontanesi, F., Couvillion, M., Huynen, M. A., Churchman, L. S., Barrientos, A., & Amunts, A. (2024) · Nature Structural & Molecular Biology · doi:10.1038/s41594-024-01365-9 · Cited by 49
Genetic Load and Adaptive Potential of a Recovered Avian Species that Narrowly Avoided Extinction
Femerling, G., van Oosterhout, C., Feng, S., Bristol, R. M., Zhang, G., Groombridge, J., P. Gilbert, M. T., & Morales, H. E. (2023) · Molecular Biology and Evolution · doi:10.1093/molbev/msad256 · Cited by 49
Badrane, H., Cheng, S., Dupont, C., Hao, B., Driscoll, E., Morder, K., Liu, G., Newbrough, A., Fleres, G., Kaul, D., et al. (2023) · doi:10.21203/rs.3.rs-2706400/v1 · Cited by 48
Dai, X., Bian, P., Hu, D., Luo, F., Huang, Y., Jiao, S., Wang, X., Gong, M., Li, R., Cai, Y., et al. (2023) · Genome Research · doi:10.1101/gr.277481.122 · Cited by 43
FOXP3 recognizes microsatellites and bridges DNA through multimerization
Zhang, W., Leng, F., Wang, X., Ramirez, R. N., Park, J., Benoist, C., & Hur, S. (2023) · Nature · doi:10.1038/s41586-023-06793-z · Cited by 42
Siscar-Lewin, S., Gabaldón, T., Aldejohann, A. M., Kurzai, O., Hube, B., & Brunke, S. (2021) · mBio · doi:10.1128/mbio.01128-21 · Cited by 36
Mircetic, J., Camgöz, A., Abohawya, M., Ding, L., Dietzel, J., Tobar, S. G., Paszkowski‐Rogacz, M., Seidlitz, T., Schmäche, T., Mehnert, M., et al. (2023) · Small Methods · doi:10.1002/smtd.202201605 · Cited by 40
Re-evaluating Homoploid Reticulate Evolution in Helianthus Sunflowers
Owens, G. L., Huang, K., Todesco, M., & Rieseberg, L. H. (2023) · Molecular Biology and Evolution · doi:10.1093/molbev/msad013 · Cited by 39
A pathogen-induced putative NAC transcription factor mediates leaf rust resistance in barley
Chen, C., Jost, M., Outram, M. A., Friendship, D., Chen, J., Wang, A., Periyannan, S., Bartoš, J., Holušová, K., Doležel, J., et al. (2023) · Nature Communications · doi:10.1038/s41467-023-41021-2 · Cited by 38
Pangenome Graph Construction from Genome Alignment with Minigraph-Cactus
Hickey, G., Monlong, J., Ebler, J., Novak, A., Eizenga, J. M., Gao, Y., Human Pangenome Reference Consortium, Marschall, T., Li, H., & Paten, B. (2022) · doi:10.1101/2022.10.06.511217 · Cited by 345
Self-citationKiu, R., Darby, E. M., Alcon-Giner, C., Acuna-Gonzalez, A., Camargo, A., Lamberte, L. E., Phillips, S., Sim, K., Shaw, A. G., Clarke, P., et al. (2025) · Nature communications · doi:10.1038/s41467-025-62584-2 · Cited by 36
Mammalian PIWI–piRNA–target complexes reveal features for broad and efficient target silencing
Li, Z., Li, Z., Zhang, Y., Zhou, L., Xu, Q., Li, L., Zeng, L., Xue, J., Niu, H., Zhong, J., et al. (2024) · Nature Structural & Molecular Biology · doi:10.1038/s41594-024-01287-6 · Cited by 35
The Genomic Natural History of the Aurochs
Rossi, C., Sinding, M.-H. S., Mullin, V. E., Scheu, A., Erven, J. A. M., Verdugo, M. P., Daly, K. G., Ciucani, M. M., Mattiangeli, V., Teasdale, M. D., et al. (2024) · Nature · doi:10.1038/s41586-024-08112-6 · Cited by 32
Rajan, S., Zaccaria, S., Cannon, M. V., Cam, M., Gross, A. C., Raphael, B. J., & Roberts, R. D. (2021) · doi:10.1101/2021.08.30.458268 · Cited by 33
Bringing the genetically minimal cell to life on a computer in 4D
Thornburg, Z. R., Maytin, A., Kwon, J., Brier, T. A., Gilbert, B. R., Fu, E., Gao, Y.-L., Quenneville, J., Wu, T., Li, H., et al. (2026) · Cell · doi:10.1016/j.cell.2026.02.009 · Cited by 44
Self-citationAssociation of SPI1 haplotypes with altered SPI1 gene expression and Alzheimer’s disease risk
Cao, H., Initiative, A. D. N., Zhou, X., Chen, Y., Ip, F. C. F., Chen, Y., Lai, N. C. H., Lo, R. M. N., Tong, E. P. S., Mok, V. C. T., et al. (2022) · Journal of Alzheimer s Disease · doi:10.3233/jad-215311 · Cited by 28
“Meanwhile, we obtained the haplotypes of Hong Kong Chinese WGS data or European descent cohort data from phased VCF files using the bcftools convert --hapsample function [26].”
A structured coalescent model reveals deep ancestral structure shared by all modern humans
Cousins, T., Scally, A., & Durbin, R. (2025) · Nature Genetics · doi:10.1038/s41588-025-02117-1 · Cited by 27
Lutz, R., Poos, A. M., Solé-Boldo, L., John, L., Wagner, J., Prokoph, N., Baertsch, M. A., Vonficht, D., Palit, S., Brobeil, A., et al. (2025) · Science Immunology · doi:10.1126/sciimmunol.adp6667 · Cited by 25
Human-specific gene expansions contribute to brain evolution
(2025) · doi:10.1016/j.cell.2025.06.037 · Cited by 25
The evolutionary history of human spindle genes includes back-and-forth gene flow with Neandertals
Peyrégne, S., Kelso, J., Peter, B. M., & Pääbo, S. (2022) · eLife · doi:10.7554/elife.75464 · Cited by 24
The origin of hepatocellular carcinoma depends on metabolic zonation
Guo, J., Liang, R., Chung, A., Li, Z., Li, B., Chen, E., Li, L., Wang, J., Hsieh, M.-H., Fang, I. X., et al. (2026) · Science · doi:10.1126/science.adv7129 · Cited by 24
Barrault, M., Chabelskaya, S., Coronel-Tellez, R. H., Toffano-Nioche, C., Jacquet, E., & Bouloc, P. (2024) · Nucleic Acids Research · doi:10.1093/nar/gkae506 · Cited by 20
Gorman, B. R., Francis, M., Nealon, C. L., Halladay, C. W., Duro, N., Markianos, K., Genovese, G., Hysi, P. G., Choquet, H., Afshari, N. A., et al. (2024) · Communications Biology · doi:10.1038/s42003-024-06046-3 · Cited by 23
Polymerization of ZBTB transcription factors regulates chromatin occupancy
Park, P. M. C., Park, J., Brown, J., Hunkeler, M., Roy Burman, S. S., Donovan, K. A., Yoon, H., Nowak, R. P., Słabicki, M., Ebert, B. L., et al. (2024) · Molecular Cell · doi:10.1016/j.molcel.2024.06.010 · Cited by 22
“10) 55 to initially remove mapped fragments fully contained within the ENCODE exclusion list for GRCh38 (dataset: ENCFF356LFX) 66,67 followed by further filtering to remove optical (sequencing) duplicate alignments as identified by Picard v3.”
Jensvold, Z. D., Flood, J. R., Christenson, A. E., & Lewis, P. W. (2024) · Nature Communications · doi:10.1038/s41467-024-53761-w · Cited by 22
Paneth-like transition drives resistance to dual targeting of KRAS and EGFR in colorectal cancer
Zhang, Y., Chen, J., She, Y., Fang, Z., Zhang, Y., Ruan, D., Guo, W., Liao, J., Zhou, W., Lao, J., et al. (2026) · Cancer Cell · doi:10.1016/j.ccell.2025.10.010 · Cited by 23
Evaluation of genetic demultiplexing of single-cell sequencing data from model species
Cardiello, J. F., Joven Araus, A., Giatrellis, S., Helsens, C., Simon, A., & Leigh, N. D. (2023) · Life Science Alliance · doi:10.26508/lsa.202301979 · Cited by 21
“To merge the BAM outputs, we first used BCFtools (Danecek et al, 2021) to filter, sort, and change chromosomes name in the VCF: bcftools filter –include “MAF ≥ 0.05” -Oz –output Vervet.maf0.05.500KFinal_EVA.vcf.gz Vervet500KFinal_EVA.vcf.gzbcftools sort -Oz Vervet.maf0.05.500KFinal_EVA.vcf.gz -o sorted.”
MethodInfluentialBaricitinib attenuates the proinflammatory phase of COVID-19 driven by lung-infiltrating monocytes
Dobosh, B., Zandi, K., Giraldo, D. M., Goh, S. L., Musall, K., Aldeco, M., LeCher, J., Giacalone, V. D., Yang, J., Eddins, D. J., et al. (2022) · Cell Reports · doi:10.1016/j.celrep.2022.110945 · Cited by 19
Haga, M., Iida, K., & Okada, M. (2024) · iScience · doi:10.1016/j.isci.2024.109708 · Cited by 19
Badonyi, M., & Marsh, J. A. (2025) · Nature Communications · doi:10.1038/s41467-025-63234-3 · Cited by 19
“Genomic coordinates of ‘ pathogenic ’ and ‘ likely pathogenic ’ missense variants, which we refer to as pathogenic, were extracted from the ClinVar 22 variant calling fi le (accessed 10-Sep-2024) using BCFtools 110 .”
Zhang, J., Nirmala, J., Chen, S., Jost, M., Steuernagel, B., Karafiatova, M., Hewitt, T., Li, H., Edae, E., Sharma, K., et al. (2023) · Nature Communications · doi:10.1038/s41467-023-42747-9 · Cited by 19
Self-citationGenomic Insights into the Population History and Adaptive Traits of Latin American Criollo Cattle
Ward, J. A., Ng'ang'a, S. I., Randhawa, I. A. S., McHugo, G. P., O'Grady, J. F., Flórez, J. M., Browne, J. A., Pérez O’Brien, A. M., Landaeta-Hernández, A. J., Garcia, J. F., et al. (2024) · Royal Society Open Science · doi:10.1098/rsos.231388 · Cited by 17
Lim, B., Kamal, A., Gomez Ramos, B., Adrian Segarra, J. M., Ibarra, I. L., Dignas, L., Kindinger, T., Volz, K., Rahbari, M., Rahbari, N., et al. (2025) · Nature Genetics · doi:10.1038/s41588-025-02081-w · Cited by 17
Parallel gene expansions drive rapid dietary adaptation in herbivorous woodrats
Klure, D. M., Greenhalgh, R., Orr, T. J., Shapiro, M. D., & Dearing, M. D. (2025) · Science · doi:10.1126/science.adp7978 · Cited by 17
Marino, A., Debaecker, G., Fiston-Lavier, A.-S., Haudry, A., & Nabholz, B. (2025) · eLife · doi:10.7554/elife.100574 · Cited by 17
Viruses of sulfur oxidizing phototrophs encode genes for pigment, carbon, and sulfur metabolisms
Hesketh-Best, P. J., Bosco-Santos, A., Garcia, S. L., O’Beirne, M. D., Werne, J. P., Gilhooly, W. P., & Silveira, C. B. (2023) · Communications Earth & Environment · doi:10.1038/s43247-023-00796-4 · Cited by 16
Pozarickij, A., Said, S., Lin, K., Morris, S., Edris, A., Iona, A., Kartsonaki, C., Wright, N., Yao, P., Fry, H., et al. (2023) · doi:10.1101/2023.11.13.23298365 · Cited by 16
Rapid, Reference-Free human genotype imputation with denoising autoencoders
Dias, R., Evans, D., Chen, S.-F., Chen, K.-Y., Loguercio, S., Chan, L., & Torkamani, A. (2022) · eLife · doi:10.7554/elife.75600 · Cited by 16
Milia, S., Leonard, A. S., Mapel, X. M., Bernal Ulloa, S. M., Drögemüller, C., & Pausch, H. (2025) · Genome Research · doi:10.1101/gr.279064.124 · Cited by 22
“16.1) (Danecek et al. 2021).”
InfluentialGurley, N. J., Szymanski, R. A., Dowen, R. H., Butcher, T. A., Ishiyama, N., & Peifer, M. (2023) · PLOS ONE · doi:10.1371/journal.pone.0289224 · Cited by 15
Zhao, W., Yuan, W., Dong, T., Qi, W., Feng, Z., Li, C., & Sun, Y. (2025) · Communications Biology · doi:10.1038/s42003-025-08160-2 · Cited by 16
Temporal genomic dynamics shape clinical trajectory in multiple myeloma
Maura, F., Kaddoura, M., Poos, A. M., Baughn, L. B., Ziccheddu, B., Bärtsch, M.-A., Cirrincione, A., Maclachlan, K., Chojnacka, M., Diamond, B., et al. (2025) · Nature Genetics · doi:10.1038/s41588-025-02292-1 · Cited by 14
Candida albicans’ inorganic phosphate transport and evolutionary adaptation to phosphate scarcity
Acosta-Zaldívar, M., Qi, W., Mishra, A., Roy, U., King, W. R., Li, Y., Patton-Vogt, J., Anderson, M. Z., & Köhler, J. R. (2024) · PLOS Genetics · doi:10.1371/journal.pgen.1011156 · Cited by 14
Casini, I., McCubbin, T., Esquivel-Elizondo, S., Luque, G. G., Evseeva, D., Fink, C., Beblawy, S., Youngblut, N. D., Aristilde, L., Huson, D. H., et al. (2023) · iScience · doi:10.1016/j.isci.2023.108016 · Cited by 14
Cross-feeding affects the target of resistance evolution to an antifungal drug
Durand, R., Jalbert-Ross, J., Fijarczyk, A., Dubé, A. K., & Landry, C. R. (2023) · PLOS Genetics · doi:10.1371/journal.pgen.1011002 · Cited by 14
Independent expansion, selection, and hypervariability of the TBC1D3 gene family in humans
Guitart, X., Porubsky, D., Yoo, D., Dougherty, M. L., Dishuck, P. C., Munson, K. M., Lewis, A. P., Hoekzema, K., Knuth, J., Chang, S., et al. (2024) · Genome Research · doi:10.1101/gr.279299.124 · Cited by 14
Metadata
- Authors
- Danecek, P., Bonfield, J. K., Liddle, J., Marshall, J., Ohan, V., Pollard, M. O., Whitwham, A., Keane, T., McCarthy, S. A., Davies, R. M., & Li, H.
- Venue
- GigaScience
- Publisher
- Oxford University Press (OUP)
- Published
- 2021-01-29
- Volume
- 10
- Issue
- 2
- ISSN
- 2047-217X (ISSN-L)
- OpenAlex
- W3131055609
- Cited by
- 15,343
- References
- 2
- FWCI
- 502.48
- Type
- journal article
- Language
- en
- Open access
- gold
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 ›
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.