Kaiser, C., Lazaridou, C.
, Jensen, K-M. V., Labouriau, R. & Kristensen, M. (2019).
Vitellogenin expression in the oilseed rape pest Meligethes aeneus.
Insect Science,
26(2), 274-282.
https://doi.org/10.1111/1744-7917.12539
Juul, M., Madsen, T., Guo, Q., Bertl, J., Hobolth, A., Kellis, M.
& Pedersen, J. S. (2019).
ncdDetect2: Improved models of the site-specific mutation rate in cancer and driver detection with robust significance evaluation.
Bioinformatics,
35(2), 189-199.
https://doi.org/10.1093/bioinformatics/bty511
Bertl, J., Guo, Q., Juul, M., Besenbacher, S., Nielsen, M. M., Hornshøj, H., Pedersen, J. S. & Hobolth, A. (2018).
A site specific model and analysis of the neutral somatic mutation rate in whole-genome cancer data.
BMC Bioinformatics ,
19(147).
https://doi.org/10.1186/s12859-018-2141-2
Duan, Y-F., Hallin, S., Jones, C. M.
, Prieme, A., Labouriau, R. & Petersen, S. O. (2018).
Catch Crop Residues Stimulate N2O Emissions During Spring, Without Affecting the Genetic Potential for Nitrite and N2O Reduction.
Frontiers in Microbiology,
9, [2629].
https://doi.org/10.3389/fmicb.2018.02629
Solati, Z., Manevski, K., Jørgensen, U., Labouriau, R., Shahbazi, S. & Lærke, P. E. (2018).
Crude protein yield and theoretical extractable true protein of potential biorefinery feedstocks.
Industrial Crops and Products,
115(May), 214-226.
https://doi.org/10.1016/j.indcrop.2018.02.010
Skov, L., Hui, R., Shchur, V.
, Hobolth, A., Scally, A.
, Schierup, M. H. & Durbin, R. (2018).
Detecting archaic introgression using an unadmixed outgroup.
PLOS Genetics,
14(9), [e1007641].
https://doi.org/10.1371/journal.pgen.1007641
Hede, M. S., Fjelstrup, S., Lötsch, F., Zoleko, R. M., Klicpera, A., Groger, M., Mischlinger, J., Endame, L., Veletzky, L., Neher, R.
, Simonsen, A. K. W., Petersen, E., Mombo-Ngoma, G.
, Stougaard, M., Ho, Y-P., Labouriau, R., Ramharter, M.
& Knudsen, B. R. (2018).
Detection of the Malaria causing Plasmodium Parasite in Saliva from Infected Patients using Topoisomerase I Activity as a Biomarker.
Scientific Reports,
8(1), 4122.
https://doi.org/10.1038/s41598-018-22378-7
Azeez, M. O., Christensen, J. T., Ravnskov, S., Heckrath, G. J., Labouriau, R., Christensen, B. T. & Rubæk, G. H. (2018).
Distribution of fertilizer phosphate in a coarse sandy soil profile after different long-term liming strategies. 69. Abstract from 6th Symposium on Phosphorus in Soils and Plants, Leuven, Belgium.
https://docplayer.net/95317146-6-th-symposium-on-phosphorus-in-soils-and-plants.html
Andersen, I. T., Hahn, U., Arnspang, E. C., Nejsum, L. N. & Jensen, E. B. V. (2018).
Double Cox cluster processes — with applications to photoactivated localization microscopy.
Spatial Statistics,
27, 58-73.
https://doi.org/10.1016/j.spasta.2018.04.009
Rodriguez Algaba, J., Sørensen, C. K., Labouriau, R., Justesen, A. F. & Hovmøller, M. S. (2018).
Effect of host vernalisation, temperature and plant growth stage on wheat and triticale susceptibility to Puccinia striiformis. Abstract from BGRI 2018, Marrakech, Morocco.
Hornshøj, H., Nielsen, M. M., Sinnott-Armstrong, N. A.
, Świtnicki, M. P., Juul, M., Madsen, T., Sallari, R., Kellis, M.
, Ørntoft, T., Hobolth, A. & Pedersen, J. S. (2018).
Pan-cancer screen for mutations in non-coding elements with conservation and cancer specificity reveals correlations with expression and survival.
npj Genomic Medicine,
3, 1.
https://doi.org/10.1038/s41525-017-0040-5
Nielsen, M. M., Tataru, P., Madsen, T., Hobolth, A. & Pedersen, J. S. (2018).
Regmex: A statistical tool for exploring motifs in ranked sequence lists from genomics experiments.
Algorithms for Molecular Biology,
13(1), [17].
https://doi.org/10.1186/s13015-018-0135-2
Clark, C. D., Ely, J., Spagnolo, M.
, Hahn, U., Hughes, A. & Stokes, C. (2018).
Spatial organization of drumlins.
Earth Surface Processes and Landforms,
43(2), 499-513.
https://doi.org/10.1002/esp.4192
Bertl, J., Guo, Q., Rasmussen, M. J., Besenbacher, S., Nielsen, M. M., Hornshøj, H., Pedersen, J. S. & Hobolth, A. (2017).
A Site Specific Model And Analysis Of The Neutral Somatic Mutation Rate In Whole-Genome Cancer Data.
https://doi.org/10.1101/122879