Siegismund, H. & Christiansen, F. (1985). Selection component analysis of natural polymorphisms using population samples including mother-offspring combinations, III. Theoretical Population Biology, 27, 268–297.

Shuai, S., PCAWG Drivers and Functional Interpretation Working Group, Gallinger, S., Stein, L. & PCAWG Consortium (2020). Combined burden and functional impact tests for cancer driver discovery using DriverPower. Nature Communications, 11(1), Article 734. https://doi.org/10.1038/s41467-019-13929-1

Shao, Y., Zhou, L., Li, F., Zhao, L., Zhang, B. L., Shao, F., Chen, J. W., Chen, C. Y., Bi, X., Zhuang, X. L., Zhu, H. L., Hu, J., Sun, Z., Li, X., Wang, D., Rivas-González, I., Wang, S., Wang, Y. M., Chen, W. ... Wu, D. D. (2023). Phylogenomic analyses provide insights into primate evolution. Science (New York, N.Y.), 380(6648), 913-924. https://doi.org/10.1126/science.abn6919

Shah, N., Hirakawa, H., Kusakabe, S., Sandal, N., Stougaard, J., Schierup, M. H., Sato, S. & Andersen, S. U. (2016). High-resolution genetic maps of Lotus japonicus and L. burttii based on re-sequencing of recombinant inbred lines. D N A Research, 23(5), 487-495. https://doi.org/10.1093/dnares/dsw033

Shah, N., Wakabayashi, T., Kawamura, Y., Skovbjerg, C. K., Wang, M.-Z., Mustamin, Y., Isomura, Y., Gupta, V., Jin, H., Mun, T., Sandal, N., Azuma, F., Fukai, E., Seren, Ü., Kusakabe, S., Kikuchi, Y., Nitanda, S., Kumaki, T., Hashiguchi, M. ... Andersen, S. U. (2020). Extreme genetic signatures of local adaptation during Lotus japonicus colonization of Japan. Nature Communications, 11(1), Article 253. https://doi.org/10.1038/s41467-019-14213-y

Sengpiel, V., Elind, E., Bacelis, J., Nilsson, S., Grove, J., Myhre, R., Haugen, M., Margrete Meltzer, H., Alexander, J., Jacobsson, B. & Brantsæter, A.-L. (2013). Maternal caffeine intake during pregnancy is associated with birth weight but not with gestational length: results from a large prospective observational cohort study. B M C Medicine, 11(42). https://doi.org/10.1186/1741-7015-11-42

Sendrowski, J. & Bataillon, T. (2024). FastDFE: Fast and Flexible Inference of the Distribution of Fitness Effects. Molecular Biology and Evolution, 41(5), Article msae070. https://doi.org/10.1093/molbev/msae070

Sendrowski, J., Bataillon, T. & Ramstein, G. P. (2025). In silico prediction of variant effects: promises and limitations for precision plant breeding. Theoretical and Applied Genetics, 138(8), Article 193. https://doi.org/10.1007/s00122-025-04973-1

Schumer, M., Xu, C., Powell, D. L., Durvasula, A., Skov, L., Holland, C., Blazier, J. C., Sankararaman, S., Andolfatto, P., Rosenthal, G. G. & Przeworski, M. (2018). Natural selection interacts with recombination to shape the evolution of hybrid genomes. Science, 360(6389), 656-660. https://doi.org/10.1126/science.aar3684

Schultz, T. R., Solomon, S. A., Mueller, U. G., Villesen, P., Boomsma, JJ., Adams, R. M. M. & Norden, B. (2002). Cryptic speciation in the fungus-growing ant Cyphomyrmex longiscapus Weber and Cyphomyrmex muelleri Schultz and Solomon, new species (Formicidae, Attini). Insectes Sociaux, 49, 331-343.

Schrempf, D. & Hobolth, A. (2017). An alternative derivation of the stationary distribution of the multivariate neutral Wright–Fisher model for low mutation rates with a view to mutation rate estimation from site frequency data. Theoretical Population Biology, 114, 88-94. https://doi.org/10.1016/j.tpb.2016.12.001

Schoustra, S. E., Bataillon, T., Gifford, D. R. & Kassen, R. (2009). The properties of adaptive walks in evolving populations of fungus. PLoS Biology, 7(11), e1000250. https://doi.org/10.1371/journal.pbio.1000250

Schouby Bock, M., Nørgaard Van Achter, O., Dines, D., Simonsen Speed, M., Correll, C. U., Mors, O., Østergaard, S. D. & Kølbæk, P. (2020). Clinical validation of the self-reported Glasgow Antipsychotic Side-effect Scale using the clinician-rated UKU side-effect scale as gold standard reference. Journal of Psychopharmacology, 34(8), 820-828. https://doi.org/10.1177/0269881120916122

Schoen, D. J., David, J. L. & Bataillon, T. (1998). Deleterious mutation accumulation and the regeneration of genetic resources. Proceedings of the National Academy of Sciences (PNAS), 95(1), 394-9.

Schiøtt, B. & Lie, M. A. (2008). DFT Study of Solvation Effects on the Tautomeric Equlibrium and Catalytic Ylide Generation of Thiamin Models. Journal of Computational Chemistry, 29, 1037-1047.

Schild, S.-L. A., Foldager, L., Bonde, M., Andersen, H. M.-L. & Pedersen, L. J. (2019). Does hut climate matter for piglet survival in organic production? Animal, 13(4), 826-834. https://doi.org/10.1017/S175173111800201X

Schild, S. L. A., Foldager, L., Rangstrup-Christensen, L. & Pedersen, L. J. (2020). Characteristics of Piglets Born by Two Highly Prolific Sow Hybrids. Frontiers in Veterinary Science, 7, Article 355. https://doi.org/10.3389/fvets.2020.00355

Schierup, M. H., Mable, B. K., Awadalla, P. & Charlesworth, D. (2001). Identification and Characterization of a Polymorphic Receptor Kinase Gene Linked to the Self-Incompatibility Locus of Arabidopsis lyrata. Genetics, 158(387-399), 12259-12254.

Schierup, M. H., nullA.M., M. & Hein, J. (2001). Recombination, Balancing Selection and Phylogenies in MHC and Self-Incompatibility Genes. Genetics, 159, 1833-1844.

Schierup, M. H., Bechsgaard, J. S., Nielsen, L. H. & Christiansen, F. B. (2006). Selection at work in self-incompatible Arabidopsis lyrata: Mating patterns in a natural population. Genetics, 172, 477-484.

Schierup, M. H., Mordhorst, CH., Müller, CP. & Christensen, LS. (2005). Evidence of recombination among early-vaccination era measles virus strains. BMC Evolutionary Biology, 5(52).

Schierup, M. H. (2006). Consanguinity, inbreeding, and genetic drift in Italy by LL Cavalli-Sforza, A Moroni and G Zei. Iden, 96, 336-336.

Schierup, M. H. & Vekemans, X. (2008). Genomic consequences of selection on self-incompatibility genes. Current Opinion in Plant Biology, 116-122. https://doi.org/10.1016/j.pbi.2008.01.003

Schierup, M. H., Bechsgaard, J. S. & Christiansen, F. B. (2008). Selection at work in self-incompatible Arabidopsis lyrata. II. Spatial distribution of S haplotypes in Iceland. Genetics, 180(2), 1051-9. https://doi.org/10.1534/genetics.108.088799

Schierup, M. H., Mailund, T., Li, H., Wang, J., Tjønneland, A., Vogel, U., Bolund, L. & Nexø, B. A. (2009). Haplotype frequencies in a sub-region of chromosome 19q13.3, related to risk and prognosis of cancer, differ dramatically between ethnic groups. BMC Medical Genetics, 10, 20. https://doi.org/10.1186/1471-2350-10-20

Schierup, M. H. (2020). The last pieces of a puzzling early meeting. Science (New York, N.Y.), 369(6511), 1565-1566. https://doi.org/10.1126/science.abe2766

Schick, A., Bailey, S. & Kassen, R. (2015). Evolution of fitness trade-offs in locally adapted populations of Pseudomonas fluorescens. American Naturalist, 186(S1), S48-S59. https://doi.org/10.1086/682932

Schepeler, T., Reinert, T., Ostenfeld, M. S., Christensen, L. L., Silahtaroglu, A. N., Dyrskjøt, L., Wiuf, C., Sørensen, F. J., Kruhøffer, M., Laurberg, S., Kauppinen, S., Ørntoft, T. F. & Andersen, C. L. (2008). Diagnostic and prognostic microRNAs in stage II colon cancer. Cancer Research, 68(15), 6416-24. https://doi.org/10.1158/0008-5472.CAN-07-6110

Schendel, D., Munk Laursen, T., Albiñana, C., Vilhjalmsson, B., Ladd-Acosta, C., Fallin, M. D., Benke, K., Lee, B., Grove, J., Kalkbrenner, A., Ejlskov, L., Hougaard, D., Bybjerg-Grauholm, J., Baekvad-Hansen, M., Børglum, A. D., Werge, T., Nordentoft, M., Mortensen, P. B. & Agerbo, E. (2022). Evaluating the interrelations between the autism polygenic score and psychiatric family history in risk for autism. Autism Research, 15(1), 171-182. https://doi.org/10.1002/aur.2629

Schauser, L., Wieloch, W. & Stougaard, J. (2005). Evolution of NIN-like proteins in Arabidopsis, rice and Lotus japonicus. Journal of Molecular Evolution, 60(2), 229-237. https://doi.org/10.1007/s00239-004-0144-2

Scally, A., Dutheil, J. Y., Hillier, L. W., Jordan, G. E., Goodhead, I., Herrero, J., Hobolth, A., Lappalainen, T., Mailund, T., Marques-Bonet, T., McCarthy, S., Montgomery, S. H., Schwalie, P. C., Tang, Y. A., Ward, M. C., Xue, Y., Yngvadottir, B., Alkan, C., Andersen, L. N. ... Durbin, R. (2012). Insights into hominid evolution from the gorilla genome sequence. Nature, 483(7388), 169-75. https://doi.org/10.1038/nature10842

Satterstrom, F. K., Walters, R. K., Singh, T., Wigdor, E. M., Lescai, F., Demontis, D., Kosmicki, J. A., Grove, J., Stevens, C., Bybjerg-Grauholm, J., Bækvad-Hansen, M., Palmer, D. S., Maller, J. B., iPSYCH-Broad Consortium, Nordentoft, M., Mors, O., Robinson, E. B., Hougaard, D. M., Werge, T. M. ... Daly, M. J. (2019). Autism spectrum disorder and attention deficit hyperactivity disorder have a similar burden of rare protein-truncating variants. Nature Neuroscience, 22(12), 1961-1965. https://doi.org/10.1038/s41593-019-0527-8

Satterstrom, F. K., Kosmicki, J. A., Wang, J., Breen, M. S., De Rubeis, S., An, J. Y., Peng, M., Collins, R., Grove, J., Klei, L., Stevens, C., Reichert, J., Mulhern, M. S., Artomov, M., Gerges, S., Sheppard, B., Xu, X., Bhaduri, A., Norman, U. ... Børglum, A. D. (2020). Large-Scale Exome Sequencing Study Implicates Both Developmental and Functional Changes in the Neurobiology of Autism. Cell, 180(3), 568-584.e23. https://doi.org/10.1016/j.cell.2019.12.036

Sanggaard, K. W., Bechsgaard, J. S., Fang, X., Duan, J., Dyrlund, T. F., Gupta, V., Jiang, X., Cheng, L., Fan, D., Feng, Y., Han, L., Huang, Z., Wu, Z., Liao, L., Settepani, V., Thøgersen, I. B., Vanthournout, B., Wang, T., Zhu, Y. ... Wang, J. (2014). Spider genomes provide insight into composition and evolution of venom and silk. Nature Communications, 5, Article 3765. https://doi.org/10.1038/ncomms4765

Sand, A., Pedersen, C. N. S., Mailund, T., Brodal, G. S. & Fagerberg, R. (2013). A practical O(n log² n) time algorithm for computing the triplet distance on binary trees. BMC Bioinformatics, 14(Suppl 2), S18. https://doi.org/10.1186/1471-2105-14-S2-S18

Sand, A., Holt, M. K., Johansen, J., Fagerberg, R., Pedersen, C. N. S., Brodal, G. S. & Mailund, T. (2013). Algorithms for Computing the Triplet and Quartet Distances for Binary and General Trees. Biology, 2(4), 1189-1209. https://doi.org/10.3390/biology2041189

Sand, A. & Steel, M. (2013). The standard lateral gene transfer model is statistically consistent for pectinate four-taxon trees. Journal of Theoretical Biology, 335, 295-298. https://doi.org/10.1016/j.jtbi.2013.07.002

Sand, A., Kristiansen, M., Pedersen, C. N. S. & Mailund, T. (2013). zipHMMlib: a highly optimised HMM library exploiting repetitions in the input to speed up the forward algorithm. BMC Bioinformatics , 14(339), 339-348. https://doi.org/10.1186/1471-2105-14-339

Sand, A., Holt, M. K., Johansen, J., Brodal, G. S., Mailund, T. & Pedersen, C. N. S. (2014). tqDist: A Library for Computing the Quartet and Triplet Distances Between Binary and General Trees. Bioinformatics, 30(4), 2079-2080. https://doi.org/10.1093/bioinformatics/btu157

Salvador-Martínez, I., Coronado-Zamora, M., Castellano, D., Barbadilla, A. & Salazar-Ciudad, I. (2018). Mapping selection within Drosophila melanogaster embryo's anatomy. Molecular Biology and Evolution, 35(1), 66-79. https://doi.org/10.1093/molbev/msx266

Salek, P., Høst, S., Thøgersen, L., Jørgensen, P., Manninen, P., Olsen, J., Jansik, B., Reine, S., Pawlowski, F., Tellgren, E., Helgaker, T. & Coriani, S. (2007). Linear-scaling implementation of molecular electronic self-consistent field theory. Journal of Chemical Physics, 126, 114110-1 - 114110-16.