Bergeron, L. A., Besenbacher, S., Schierup, M. H. & Zhang, G. (2021). Studying mutation rate evolution in primates-a need for systematic comparison of computational pipelines. GigaScience, 10(10), Article giab072. https://doi.org/10.1093/gigascience/giab072

Christiansen, F. (1980). Studies on selection components in natural populations using population samples of mother-offspring combinations. Hereditas, 92, 199-203.

Nyborg, J., Nissen, P., Kjeldgaard, M., Thirup, S., Polekhina, G. & Clark, B. F. (1996). Structure of the ternary complex of EF-Tu: macromolecular mimicry in translation. Trends in Biochemical Sciences, 21(3), 81-2.

Andersen, L. N. & Mandjes, M. (2009). Structural properties of reflected Lévy processes. Queueing Systems, 63(1-4), 301-322. https://doi.org/10.1007/s11134-009-9116-y

Clark, B. F., Kjeldgaard, M., la Cour, T. F., Thirup, S. & Nyborg, J. (1990). Structural determination of the functional sites of E. coli elongation factor Tu. BBA General Subjects, 1050(1-3), 203-8.

Dutheil, J. Y., Munch, K., Nam, K., Mailund, T. & Schierup, M. H. (2015). Strong Selective Sweeps on the X Chromosome in the Human-Chimpanzee Ancestor Explain Its Low Divergence. P L o S Genetics, 11(8), e1005451. https://doi.org/10.1371/journal.pgen.1005451

Winters, J. F. M., Kobek-Kjeldager, C., Foldager, L., Tecles, F. & Pedersen, L. J. (2023). Stress responses in pigs postweaning: Effect of heavier hybrid and weaning intact litters. Applied Animal Behaviour Science, 269, Article 106106. https://doi.org/10.1016/j.applanim.2023.106106

Capion, N., Raundal, P., Foldager, L. & Thomsen, P. T. (2021). Status of claw recordings and claw health in Danish dairy cattle from 2013 to 2017. The Veterinary Journal, 277, Article 105749. https://doi.org/10.1016/j.tvjl.2021.105749

Stumpf, MPH., Ingram, PJ., Nouvel, I. & Wiuf, C. (2005). Statistical model selection methods applied to biological network data. Transactions on Computational Systems Biology, 3, 65-77.

Kjeldbjerg Lassen, J., Bradshaw, R., Villesen, P. & Francese, S. (2023). Statistical Modelling Investigation of MALDI-MSI-Based Approaches for Document Examination. Molecules, 28(13), Article 5207. https://doi.org/10.3390/molecules28135207

Tataru, P., Simonsen, M., Bataillon, T. & Hobolth, A. (2017). Statistical Inference in the Wright–Fisher Model Using Allele Frequency Data. Systematic Biology, 66(1), e30-e46. https://doi.org/10.1093/sysbio/syw056

Hansen, AJ., Willerslev, E., Wiuf, C., Mourier, T. & Arctander, P. (2001). Statistical evidence for miscoding lesions in ancient DNA templates. Mol. Biol. Evol., 18, 262-265.

Christensen, O. F., Cassiani, G., Diggle, P. J., Ribeiro, P. J. & Andreotti, G. (2004). Statistical estimation of the relative efficiency of natural attenuation mechanisms in contaminated aquifers. Stochastic environmental research and risk assessment (SERRA), 18, 339-350.

Maag, E., Kulasingam, A., Grove, E. L., Pedersen, K. S., Kristensen, S. D. & Hvas, A. M. (2021). Statistical and machine learning methods for analysis of multiplex protein data from a novel proximity extension assay in patients with ST-elevation myocardial infarction. Scientific Reports, 11(1), Article 13787. https://doi.org/10.1038/s41598-021-93162-3

Weiner, D. J., Ling, E., Erdin, S., Tai, D. J. C., Yadav, R., Grove, J., Fu, J. M., Nadig, A., Carey, C. E., Baya, N., Bybjerg-Grauholm, J., iPSYCH Consortium, ASD Working Group of the Psychiatric Genomics Consortium, ADHD Working Group of the Psychiatric Genomics Consortium, Berretta, S., Macosko, E. Z., Sebat, J., O'Connor, L. J., Hougaard, D. M. ... Robinson, E. B. (2022). Statistical and functional convergence of common and rare genetic influences on autism at chromosome 16p. Nature Genetics, 54(11), 1630-1639. https://doi.org/10.1038/s41588-022-01203-y

Hein, J., Wiuf, C., Møller, M., Knudsen, B. & Wibling, G. (2000). Statistical alignment: computational properties, homology testing and goodness-of-fit. J. Mol. Biol., 302(1), 265-279. https://doi.org/10.1006/jmbi.2000.4061

Arunapuram, P., Edvardsson, I., Golden, M., Anderson, J. W. J., Novák, A., Sükösd, Z. & Hein, J. (2013). StatAlign 2.0: Combining statistical alignment with RNA secondary structure prediction. Bioinformatics, 29(5), 654-655. https://doi.org/10.1093/bioinformatics/btt025

Nielsen, L. S., Villesen, P. & Lindholst, C. (2016). Stability of cocaine impurity profiles during 12 months of storage. Forensic Science International, 264, 56-62. https://doi.org/10.1016/j.forsciint.2016.03.012

Nielsen, L. S., Villesen, P. & Lindholst, C. (2018). Stability of amphetamine impurity profiles during 12 months of storage. Forensic Science International, 290, 129-136.

Braïda, B., Thøgersen, L., Wu, W. & Hiberty, P. C. (2002). Stability, Metastability, and Unstability of Three-Electron-Bonded Radical Anions. A Model ab Initio Theoretical Study. Journal of the American Chemical Society, 124, 11781-11790.

Athanasiadis, G., Jorgensen, F. G., Cheng, J. Y., Kjaergaard, P. C., Schierup, M. H. & Mailund, T. (2016). Spitting for Science: Danish High School Students Commit to a Large-Scale Self-Reported Genetic Study. P L o S One, 11(8), Article e0161822. https://doi.org/10.1371/journal.pone.0161822

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

Lorenzen, E. D., Nogués-Bravo, D., Orlando, L., Weinstock, J., Binladen, J., Marske, K. A., Ugan, A., Borregaard, M. K., Gilbert, M. T. P., Nielsen, R., Ho, S. Y. W., Goebel, T., Graf, K. E., Byers, D., Stenderup, J., Rasmussen, M., Campos, P., Leonard, J. A., Koepfli, K.-P. ... Willerslev, E. (2011). Species-specific responses of Late Quaternary megafauna to climate and humans. Nature, 479(7373), 359-64. https://doi.org/10.1038/nature10574

Sokač, M., Kjær, A., Dyrskjøt, L., Haibe-Kains, B., Jwl Aerts, H. & Birkbak, N. J. (2023). Spatial transformation of multi-omics data unlocks novel insights into cancer biology. eLife, 12, Article RP87133. https://doi.org/10.7554/eLife.87133

Wiuf, C., Laidlaw, Z. & Stumpf, MPH. (2003). Some notes on the combinatorial properties of haplotype tagging. Math. Biosci., 185, 205-216.

Holmstrup, M., Sørensen, J. G., Schmidt, I. K., Nielsen, P. L., Mason, S., Tietema, A., Smith, A. R., Bataillon, T., Beier, C. & Ehlers, B. K. (2013). Soil microarthropods are only weakly impacted after 13 years of repeated drought treatment in wet and dry heathland soils. Soil Biology & Biochemistry, 66, 110-118. https://doi.org/10.1016/j.soilbio.2013.06.023

Warrier, V., Toro, R., Won, H., Leblond, C. S., Cliquet, F., Delorme, R., De Witte, W., Bralten, J., Chakrabarti, B., Børglum, A. D., Grove, J., Poelmans, G., Hinds, D. A., Bourgeron, T. & Baron-Cohen, S. (2019). Social and non-social autism symptoms and trait domains are genetically dissociable. Communications Biology, 2(1), Article 328. https://doi.org/10.1038/s42003-019-0558-4

Li, S., Li, R., Li, H., Lu, J., Li, Y., Bolund, L., Schierup, M. H. & Wang, J. (2013). SOAPindel: efficient identification of indels from short paired reads. Genome Research, 23(1), 195-200. https://doi.org/10.1101/gr.132480.111

Nielsen, J. & Mailund, T. (2008). SNPFile - A software library and file format for large scale association mapping and population genetics studies. B M C Bioinformatics, 9(526), 1-11. https://doi.org/10.1186/1471-2105-9-526

Lindgreen, S., Krogh, A. & Pedersen, J. S. (2014). SNPest: a probabilistic graphical model for estimating genotypes. BMC Research Notes, 7, 698. https://doi.org/10.1186/1756-0500-7-698

Li, S., Ma, L., Li, H., Vang, S., Hu, Y., Bolund, L. & Wang, J. (2007). Snap: An Integrated SNP Annotation Platform. Nucleic Acids Research, 35, D707-D710. https://doi.org/10.1093/nar/gkl969

Mørup, N., Stakaitis, R., Golubickaite, I., Riera, M., Dalgaard, M. D., Schierup, M. H., Jørgensen, N., Daugaard, G., Juul, A. & Almstrup, K. (2021). Small RNAs in Seminal Plasma as Novel Biomarkers for Germ Cell Tumors. Cancers, 13(10), Article 2346. https://doi.org/10.3390/cancers13102346

Okholm, K. R., Nooteboom, S. W., Vinther, J. N., Lamberti, V., Dey, S., Andersen, E. S., Zijlstra, P. & Sutherland, D. S. (2024). Single-Molecule Multivalent Interactions Revealed by Plasmon-Enhanced Fluorescence. ACS Nano, 18(52), 35429-35442. https://doi.org/10.1021/acsnano.4c12600

Frank, M., Fechete, L. I., Tedeschi, F., Nadzieja, M., Nørgaard, M. M. M., Montiel, J., Andersen, K. R., Schierup, M. H., Reid, D. & Andersen, S. U. (2023). Single-cell analysis identifies genes facilitating rhizobium infection in Lotus japonicus. Nature Communications, 14(1), Article 7171. https://doi.org/10.1038/s41467-023-42911-1

Hobolth, A. & Stone, E. (2009). Simulation from endpoint-conditioned, continuous-time Markov chains on a finite state space, with applications to molecular evolution. Annals of Applied Statistics, 3(3), 1204-1231. https://doi.org/10.1214/09-AOAS247

Posada, D. & Wiuf, C. (2003). Simulating haplotype blocks in the human genome. Bioinformatics, 19(2), 289-290.

Christiansen, F. (1990). Simplified models for viability selection at multiple loci. Theoretical Population Biology, 37, 39-54.

Jensen, C. S., Lisby, M., Kirkegaard, H. & Loft, M. I. (2022). Signs and symptoms, apart from vital signs, that trigger nurses' concerns about deteriorating conditions in hospitalized paediatric patients: A scoping review. Nursing Open, 9(1), 57-65. https://doi.org/10.1002/nop2.1105, https://doi.org/10.1002/nop2.1105

Madsen, T., Hobolth, A., Jensen, J. L. & Pedersen, J. S. (2017). Significance evaluation in factor graphs. BMC Bioinformatics , 18(1), 199. Article 199. https://doi.org/10.1186/s12859-017-1614-z