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Leppälä, K., Matala-aho, T. & Törmä, T. (2017). Rational approximations of the exponential function at rational points. Journal of Number Theory, 179, 220-239. https://doi.org/10.1016/j.jnt.2017.03.014

Athanasiadis, G. (2017). Recent migration and sample representativeness in a Danish genetic study. Annals of Human Biology, 44(5), 484-486. https://doi.org/10.1080/03014460.2017.1336253

Jensen, J. M. (2017). Reference free phasing and representation of complex variation.

Madsen, T. (2017). Robust statistical methods for significance evaluation and applications in cancer driver detection and biomarker discovery.

Bolvig, A. K., Nørskov, N., van Vliet, S., Foldager, L., Curtasu, M. V., Hedemann, M. S., Sørensen, J. F., Lærke, H. N. & Knudsen, K. E. B. (2017). Rye bran modified with cell wall-degrading enzymes influences the kinetics of plant lignans but not of enterolignans in multicatheterized pigs. Journal of Nutrition, 147(12), 2220-2227 . https://doi.org/10.3945/jn.117.258483

Maretty, L., Jensen, J. M., Petersen, B., Sibbesen, J. A., Liu, S., Villesen, P., Skov, L., Belling, K. C., Theil Have, C., Izarzugaza, J. M. G., Grosjean, M., Bork-Jensen, J., Grove, J., Als, T. D., Huang, S., Chang, Y., Xu, R., Ye, W., Rao, J. ... Schierup, M. H. (2017). Sequencing and de novo assembly of 150 genomes from Denmark as a population reference. Nature, 548(7665), 87-91. https://doi.org/10.1038/nature23264

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

Kousholt, A., Ziegel, J., Kiderlen, M. & Jensen, E. B. V. (2017). Stereological estimation of mean particle volume tensors in R3 from vertical sections. In E. B. V. Jensen & M. Kiderlen (Eds.), Tensor Valuations and Their Applications in Stochastic Geometry and Imaging (Vol. 2177, pp. 423-434). Springer.

Lasry, C., Guillemot, V., Lechat, P., Menager, H., Vilhjalmsson, B. J. & Aschard, H. (2017). Summary Statistic GWAS Joint Re-Analyses Across 30+Traits. Genetic Epidemiology, 41(7), 652-652.

Gengler, N. & GplusE Consortium (2017). Targeted combination of estimated breeding values for lower accuracy mid-infrared biomarkers increases their usefulness in genetic evaluation of dairy cattle. Abstract from ICAR 2017, United Kingdom. http://www.icar.org/wp-content/uploads/2017/06/5.-Nicolas-Gengler-1.pdf

Benito, B. M., Svenning, J.-C., Kellberg-Nielsen, T., Riede, F., Gil-Romera, G., Mailund, T., Kjaergaard, P. C. & Sandel, B. S. (2017). The ecological niche and distribution of Neanderthals during the Last Interglacial. Journal of Biogeography, 44(1), 51–61. https://doi.org/10.1111/jbi.12845

Bolvig, A. K., Nørskov, N., Hedemann, M. S., Foldager, L., McCarthy-Sinclair, B., Marco, M., Lærke, H. N. & Knudsen, K. E. B. (2017). The effect of antibiotics and diet on enterolactone concentration and metabolome studied by targeted and non-targeted LC-MS metabolomics. Journal of Proteome Research, 16(6), 2135-2150. https://doi.org/10.1021/acs.jproteome.6b00942

Aagaard, J., Foldager, L., Makki, A., Hansen, V. & Müller-Nielsen, K. (2017). The efficacy of psychoeducation on recurrent depression: A randomised trial with a two-year follow-up. Nordic Journal of Psychiatry, 71(3), 223-229. https://doi.org/10.1080/08039488.2016.1266385

Hartfield, M., Bataillon, T. & Glemin, S. (2017). The Evolutionary Interplay between Adaptation and Self-Fertilization. Trends in Genetics, 33(6), 420-431. https://doi.org/10.1016/j.tig.2017.04.002

Bendtsen, K. L., Xu, K., Luckmann, M., Winther, K. S., Shah, S. A., Pedersen, C. N. S. & Brodersen, D. E. (2017). Toxin inhibition in C. crescentus VapBC1 is mediated by a flexible pseudo-palindromic protein motif and modulated by DNA binding. Nucleic Acids Research, 45(5), 2875-2886. https://doi.org/10.1093/nar/gkw1266

Duan, J., Sanggaard, K. W., Schauser, L., Lauridsen, S. E., Enghild, J. J., Schierup, M. H. & Wang, T. (2017). Transcriptome Analysis of the Response of Burmese Python to Digestion. GigaScience, 6(8), 1-51. Article gix057. https://doi.org/10.1093/gigascience/gix057

Sørensen, M. T. & GplusE Consortium (2017). Use of metabolic clusters predicted by milk metabolites and enzymes to identify potential risk cows. In Book of Abstracts of the 68th Annual Meeting of the European Federation of Animal Science (pp. 404-404). Wageningen Academic Publishers. https://doi.org/10.3920/978-90-8686-859-9

Stride Nielsen, L., Villesen, P. & Lindholst, C. (2017). Variation in chemical profiles within large seizures of cocaine bricks. Forensic Science International, 280, 194-199. https://doi.org/10.1016/j.forsciint.2017.10.007

Bailey, S. F., Blanquart, F., Bataillon, T. & Kassen, R. (2017). What drives parallel evolution? How population size and mutational variation contribute to repeated evolution. BioEssays, 39(1), 1-9. https://doi.org/10.1002/bies.201600176

Lescai, F., Als, T. D., Li, Q., Nyegaard, M., Andorsdottir, G., Biskopstø, M., Hedemand, A., Fiorentino, A., O'Brien, N. L., Jarram, A., Liang, T. J., Grove, J., Pallesen, J., Eickhardt, E., Mattheisen, M., Bolund, L., Demontis, D., Wang, A. G., McQuillin, A. ... Børglum, A. D. (2017). Whole-exome sequencing of individuals from an isolated population implicates rare risk variants in bipolar disorder. Translational Psychiatry, 7(2), e1034. Article 3. https://doi.org/10.1038/tp.2017.3

Malaspinas, A.-S., Westaway, M. C., Muller, C., Sousa, V. C., Lao, O., Alves, I., Athanasiadis, G., Cheng, J. Y., Crawford, J. E., Heupink, T. H., Macholdt, E., Peischl, S., Schiffels, S., Subramanian, S., Wright, J. L., Albrechtsen, A., Barbieri, C., Dupanloup, I., Eriksson, A. ... Willerslev, E. (2016). A genomic history of Aboriginal Australia. Nature, 538(7624), 207-214. https://doi.org/10.1038/nature18299

Nexø, B. A., Villesen, P., Nissen, K. K., Lindegaard, H. M., Rossing, P., Petersen, T., Tarnow, L., Hansen, B., Lorenzen, T., Hørslev-Petersen, K., Bisgaard Jensen, S., Bahrami, S., Lajer, M., Schmidt, K. L. M., Parving, H.-H., Junker, P. & Laska, M. J. (2016). Are human endogenous retroviruses triggers of autoimmune diseases? Unveiling associations of three diseases and viral loci. Immunologic Research, 64(1), 55-63. https://doi.org/10.1007/s12026-015-8671-z

Bataillon, T., Galtier, N., Bernard, A., Cryer, N. H. K., Faivre, N., Santoni, S., Severac, D., Mikkelsen, T., Larsen, K., Beier, C., Sørensen, J. G., Holmstrup, M. & Ehlers, B. (2016). A replicated climate change field experiment reveals rapid evolutionary response in an ecologically important soil invertebrate. Global Change Biology, 22(7), 2370-2379. https://doi.org/10.1111/gcb.13293

Aagaard, J., Buus, N., Wernlund, A. G., Foldager, L. & Merinder, L. (2016). Clinically useful predictors for premature mortality among psychiatric patients visiting a psychiatric emergency room. International Journal of Social Psychiatry, 62(5), 462-470. https://doi.org/10.1177/0020764016642490

Agrawal, A. F. & Hartfield, M. (2016). Coalescence with background and balancing selection in systems with Bi- and uniparental reproduction: Contrasting partial asexuality and selfing. Genetics, 202(1), 313-326. https://doi.org/10.1534/genetics.115.181024

Hartfield, M., Wright, S. I. & Agrawal, A. F. (2016). Coalescent times and patterns of genetic diversity in species with facultative sex: Effects of gene conversion, population structure, and heterogeneity. Genetics, 202(1), 297-312. https://doi.org/10.1534/genetics.115.178004

Nielsen, L. S., Lindholst, C. & Villesen, P. (2016). Cocaine classification using alkaloid and residual solvent profiling. Forensic Science International, 269, 42-49.

Søndergaard, D. A., Knudsen, M. & Pedersen, C. S. (2016). Computational Classification of P-Type ATPases. Methods in Molecular Biology, 1377, 493-502. https://doi.org/10.1007/978-1-4939-3179-8

Knudsen, M., Søndergaard, D. A., Tofting-Olesen, C., Hansen, F. T., Brodersen, D. E. & Pedersen, C. S. (2016). Computational discovery of specificity-conferring sites in non-ribosomal peptide synthetases. Bioinformatics, 32(3), 325-329. https://doi.org/10.1093/bioinformatics/btv600

Lobon, I., Tucci, S., de Manuel, M., Ghirotto, S., Benazzo, A., Prado-Martinez, J., Lorente-Galdos, B., Nam, K., Dabad, M., Hernandez-Rodriguez, J., Comas, D., Navarro, A., Schierup, M. H., Andrés, A. M., Barbujani, G., Hvilsom, C. & Marques-Bonet, T. (2016). Demographic History of the Genus Pan Inferred from Whole Mitochondrial Genome Reconstructions. Genome Biology and Evolution, 8(6), 2020-2030. https://doi.org/10.1093/gbe/evw124

Waltoft, B. L. (2016). Designs and Methods for Association Studies and Population Size Inference in Statistical Genetics. Århus Universitet.

Lucotte, E. A., Laurent, R., Heyer, E., Segurel, L. & Toupance, B. (2016). Detection of Allelic Frequency Differences between the Sexes in Humans: A Signature of Sexually Antagonistic Selection. Genome Biology and Evolution, 8(5), 1489-1500. https://doi.org/10.1093/gbe/evw090

Dahl-Pedersen, K., Foldager, L., Houe, H., Herskin, M. S. & Thomsen, P. T. (2016). Do farmers, veterinarians and livestock drivers agree when assessing dairy cow lameness and fitness for transport. In Abstracts book (pp. 161)

Castagnini, A., Foldager, L., Caffo, E. & Thomsen, P. H. (2016). Early-adult outcome of child and adolescent mental disorders as evidenced by a national-based case register survey. European Psychiatry, 38, 45-50. https://doi.org/10.1016/j.eurpsy.2016.04.005

Blanquart, F. & Bataillon, T. (2016). Epistasis and the Structure of Fitness Landscapes: Are Experimental Fitness Landscapes Compatible with Fisher's Geometric Model? Genetics, 203(2), 847-862. https://doi.org/10.1534/genetics.115.182691

Jimenez Mena, B. (2016). Estimation of the effective population size (Ne) and its application in the management of small populations.

Hartfield, M. (2016). Evolutionary genetic consequences of facultative sex and outcrossing. Journal of Evolutionary Biology, 29(1), 5-22. https://doi.org/10.1111/jeb.12770

Finster, K., Wang, T., Borchsenius, F. & Christiansen, F. B. (Eds.) (2016). Evolutionsbiologiske milepæle. (1 ed.) Aarhus Universitetsforlag.

Leppälä, K. (2016). EXPLICIT LOWER BOUNDS FOR LINEAR FORMS. Mathematics of Computation, 85(302), 2995-3008. https://doi.org/10.1090/mcom/3078

Abascal, F., Corvelo, A., Cruz, F., Villanueva-Cañas, J. L., Vlasova, A., Marcet-Houben, M., Martínez-Cruz, B., Cheng, J. Y., Prieto, P., Quesada, V., Quilez, J., Li, G., García, F., Rubio-Camarillo, M., Frias, L., Ribeca, P., Capella-Gutiérrez, S., Rodríguez, J. M., Câmara, F. ... Godoy, J. A. (2016). Extreme genomic erosion after recurrent demographic bottlenecks in the highly endangered Iberian lynx. Genome Biology (Online), 17(1), 251. Article 251. https://doi.org/10.1186/s13059-016-1090-1

Hanghøj, K., Seguin, A., Schubert, M., Madsen, T., Pedersen, J. S., Willerslev, E. & Orlando, L. (2016). Fast, accurate and automatic ancient nucleosome and methylation maps with epiPALEOMIX. Molecular Biology and Evolution, 33(12), 3284-3298. https://doi.org/10.1093/molbev/msw184

Hernandez-de Sosa, N., Athanasiadis, G., Malouf, J., Laiz, A., Muñoz-Marin, A. M., Herrera, S., Farrerons, J., Soria, J. M. & Casademont, J. (2016). Genetic Contribution of Femoral Neck Bone Geometry to the Risk of Developing Osteoporosis: A Family-Based Study. P L o S One, 11(5), Article 0154833. https://doi.org/10.1371/journal.pone.0154833

Jimenez Mena, B., Hospital, F. & Bataillon, T. (2016). Heterogeneity of effective population size and its implications in conservation genetics and animal breeding. Conservation Genetics Resources, 8(1), 35-41. https://doi.org/10.1007/s12686-015-0508-5

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

Hobolth, A. (2016). Hvem er bedst? metoder til rangering i sport og videnskab. Aktuel Naturvidenskab, 5, 26-29.

Nielsen, L. S., Lindholst, C. & Villesen, P. (2016). Illegal drugs and bioinformatics - Classification and stability of amphetamine impurities applied in criminal investigations.

Mun, T., Bachmann, A., Gupta, V., Stougaard, J. & Andersen, S. U. (2016). Lotus Base: An integrated information portal for the model legume Lotus japonicus. Scientific Reports, 6, Article 39447. https://doi.org/10.1038/srep39447

Nielsen, S., Simonsen, S. & Hobolth, A. (2016). Inferring Population Genetic Parameters: Particle Filtering, HMM, Ripley’s K-Function or Runs of Homozygosity? In M. Frith & C. Nørgaard Storm Pedersen (Eds.), Algorithms in Bioinformatics - 16th International Workshop, WABI 2016, Proceedings (Vol. 9838, pp. 234-245). Springer. http://link.springer.com/chapter/10.1007/978-3-319-43681-4_19/fulltext.html

Hancl, J. & Leppälä, K. (2016). IRRATIONALITY MEASURES FOR CONTINUED FRACTIONS WITH ASYMPTOTIC CONDITIONS. Kyushu journal of mathematics, 70(2), 205-216. https://doi.org/10.2206/kyushujm.70.205

Wiuf, C., Pallesen, J., Foldager, L. & Grove, J. (2016). LandScape: a simple method to aggregate p--Values and other stochastic variables without a priori grouping. Statistical Applications in Genetics and Molecular Biology, 15(4), 349-361. https://doi.org/10.1515/sagmb-2015-0085

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Palle Villesen