| Year |
Citation |
Score |
| 2019 |
Hobolth A, Siri-Jégousse A, Bladt M. Phase-type distributions in population genetics. Theoretical Population Biology. PMID 30822431 DOI: 10.1016/J.Tpb.2019.02.001 |
0.37 |
|
| 2019 |
Speed MS, Balding DJ, Hobolth A. A general framework for moment-based analysis of genetic data. Journal of Mathematical Biology. PMID 30734077 DOI: 10.1007/S00285-018-01325-0 |
0.369 |
|
| 2018 |
Nielsen MM, Tataru P, Madsen T, Hobolth A, Pedersen JS. Regmex: a statistical tool for exploring motifs in ranked sequence lists from genomics experiments. Algorithms For Molecular Biology : Amb. 13: 17. PMID 30555524 DOI: 10.1186/S13015-018-0135-2 |
0.338 |
|
| 2018 |
Skov L, Hui R, Shchur V, Hobolth A, Scally A, Schierup MH, Durbin R. Detecting archaic introgression using an unadmixed outgroup. Plos Genetics. 14: e1007641. PMID 30226838 DOI: 10.1371/Journal.Pgen.1007641 |
0.369 |
|
| 2018 |
Juul M, Madsen T, Guo Q, Bertl J, Hobolth A, Kellis M, Pedersen JS. ncdDetect2: Improved models of the site-specific mutation rate in cancer and driver detection with robust significance evaluation. Bioinformatics (Oxford, England). PMID 29945188 DOI: 10.1093/Bioinformatics/Bty511 |
0.338 |
|
| 2018 |
Waltoft BL, Hobolth A. Non-parametric estimation of population size changes from the site frequency spectrum. Statistical Applications in Genetics and Molecular Biology. PMID 29886455 DOI: 10.1515/Sagmb-2017-0061 |
0.343 |
|
| 2018 |
Bertl J, Guo Q, Juul M, Besenbacher S, Nielsen MM, Hornshøj H, Pedersen JS, Hobolth A. A site specific model and analysis of the neutral somatic mutation rate in whole-genome cancer data. Bmc Bioinformatics. 19: 147. PMID 29673314 DOI: 10.1186/S12859-018-2141-2 |
0.354 |
|
| 2018 |
Hornshøj H, Nielsen MM, Sinnott-Armstrong NA, Świtnicki MP, Juul M, Madsen T, Sallari R, Kellis M, Ørntoft T, Hobolth A, Pedersen JS. 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. PMID 29354286 DOI: 10.1038/S41525-017-0040-5 |
0.31 |
|
| 2017 |
Juul M, Bertl J, Guo Q, Nielsen MM, Świtnicki M, Hornshøj H, Madsen T, Hobolth A, Pedersen JS. Non-coding cancer driver candidates identified with a sample- and position-specific model of the somatic mutation rate. Elife. 6. PMID 28362259 DOI: 10.7554/Elife.21778 |
0.337 |
|
| 2017 |
Madsen T, Hobolth A, Jensen JL, Pedersen JS. Significance evaluation in factor graphs. Bmc Bioinformatics. 18: 199. PMID 28359297 DOI: 10.1186/S12859-017-1614-Z |
0.315 |
|
| 2017 |
Tataru P, Simonsen M, Bataillon T, Hobolth A. Statistical Inference in the Wright-Fisher Model Using Allele Frequency Data. Systematic Biology. 66: e30-e46. PMID 28173553 DOI: 10.1093/Sysbio/Syw056 |
0.376 |
|
| 2017 |
Juul M, Bertl J, Guo Q, Nielsen MM, Świtnicki M, Hornshøj H, Madsen T, Hobolth A, Pedersen JS. Author response: Non-coding cancer driver candidates identified with a sample- and position-specific model of the somatic mutation rate Elife. DOI: 10.7554/Elife.21778.052 |
0.321 |
|
| 2016 |
Schrempf D, Hobolth A. 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. PMID 28041892 DOI: 10.1016/J.Tpb.2016.12.001 |
0.354 |
|
| 2015 |
Hobolth A, Siren J. The multivariate Wright-Fisher process with mutation: Moment-based analysis and inference using a hierarchical Beta model. Theoretical Population Biology. PMID 26612605 DOI: 10.1016/J.Tpb.2015.11.001 |
0.37 |
|
| 2015 |
Tataru P, Bataillon T, Hobolth A. Inference Under a Wright-Fisher Model Using an Accurate Beta Approximation. Genetics. 201: 1133-41. PMID 26311474 DOI: 10.1534/Genetics.115.179606 |
0.348 |
|
| 2015 |
Bataillon T, Duan J, Hvilsom C, Jin X, Li Y, Skov L, Glemin S, Munch K, Jiang T, Qian Y, Hobolth A, Wang J, Mailund T, Siegismund HR, Schierup MH. Inference of purifying and positive selection in three subspecies of chimpanzees (Pan troglodytes) from exome sequencing. Genome Biology and Evolution. 7: 1122-32. PMID 25829516 DOI: 10.1093/Gbe/Evv058 |
0.357 |
|
| 2015 |
Wilton PR, Carmi S, Hobolth A. The SMC' Is a Highly Accurate Approximation to the Ancestral Recombination Graph. Genetics. 200: 343-55. PMID 25786855 DOI: 10.1534/Genetics.114.173898 |
0.366 |
|
| 2014 |
Hobolth A, Jensen JL. Markovian approximation to the finite loci coalescent with recombination along multiple sequences. Theoretical Population Biology. 98: 48-58. PMID 24486389 DOI: 10.1016/J.Tpb.2014.01.002 |
0.348 |
|
| 2014 |
Andersen LN, Mailund T, Hobolth A. Efficient computation in the IM model. Journal of Mathematical Biology. 68: 1423-51. PMID 23588350 DOI: 10.1007/S00285-013-0671-9 |
0.396 |
|
| 2013 |
Tataru P, Sand A, Hobolth A, Mailund T, Pedersen CN. Algorithms for hidden markov models restricted to occurrences of regular expressions. Biology. 2: 1282-95. PMID 24833225 DOI: 10.3390/Biology2041282 |
0.357 |
|
| 2013 |
Prado-Martinez J, Sudmant PH, Kidd JM, Li H, Kelley JL, Lorente-Galdos B, Veeramah KR, Woerner AE, O'Connor TD, Santpere G, Cagan A, Theunert C, Casals F, Laayouni H, Munch K, ... Hobolth A, et al. Great ape genetic diversity and population history. Nature. 499: 471-5. PMID 23823723 DOI: 10.1038/Nature12228 |
0.339 |
|
| 2012 |
Mailund T, Halager AE, Westergaard M, Dutheil JY, Munch K, Andersen LN, Lunter G, Prüfer K, Scally A, Hobolth A, Schierup MH. A new isolation with migration model along complete genomes infers very different divergence processes among closely related great ape species. Plos Genetics. 8: e1003125. PMID 23284294 DOI: 10.1371/Journal.Pgen.1003125 |
0.438 |
|
| 2012 |
Prüfer K, Munch K, Hellmann I, Akagi K, Miller JR, Walenz B, Koren S, Sutton G, Kodira C, Winer R, Knight JR, Mullikin JC, Meader SJ, Ponting CP, Lunter G, ... ... Hobolth A, et al. The bonobo genome compared with the chimpanzee and human genomes. Nature. 486: 527-31. PMID 22722832 DOI: 10.1038/Nature11128 |
0.326 |
|
| 2012 |
Dutheil JY, Hobolth A. Ancestral population genomics. Methods in Molecular Biology (Clifton, N.J.). 856: 293-313. PMID 22399464 DOI: 10.1007/978-1-61779-585-5_12 |
0.38 |
|
| 2012 |
Scally A, Dutheil JY, Hillier LW, Jordan GE, Goodhead I, Herrero J, Hobolth A, Lappalainen T, Mailund T, Marques-Bonet T, McCarthy S, Montgomery SH, Schwalie PC, Tang YA, Ward MC, et al. Insights into hominid evolution from the gorilla genome sequence. Nature. 483: 169-75. PMID 22398555 DOI: 10.1038/Nature10842 |
0.395 |
|
| 2012 |
Hvilsom C, Qian Y, Bataillon T, Li Y, Mailund T, Sallé B, Carlsen F, Li R, Zheng H, Jiang T, Jiang H, Jin X, Munch K, Hobolth A, Siegismund HR, et al. Extensive X-linked adaptive evolution in central chimpanzees. Proceedings of the National Academy of Sciences of the United States of America. 109: 2054-9. PMID 22308321 DOI: 10.1073/Pnas.1106877109 |
0.316 |
|
| 2011 |
Tataru P, Hobolth A. Comparison of methods for calculating conditional expectations of sufficient statistics for continuous time Markov chains. Bmc Bioinformatics. 12: 465. PMID 22142146 DOI: 10.1186/1471-2105-12-465 |
0.349 |
|
| 2011 |
Mailund T, Dutheil JY, Hobolth A, Lunter G, Schierup MH. Estimating divergence time and ancestral effective population size of Bornean and Sumatran orangutan subspecies using a coalescent hidden Markov model. Plos Genetics. 7: e1001319. PMID 21408205 DOI: 10.1371/Journal.Pgen.1001319 |
0.409 |
|
| 2011 |
Hobolth A, Andersen LN, Mailund T. On computing the coalescence time density in an isolation-with-migration model with few samples. Genetics. 187: 1241-3. PMID 21321131 DOI: 10.1534/Genetics.110.124164 |
0.336 |
|
| 2011 |
Locke DP, Hillier LW, Warren WC, Worley KC, Nazareth LV, Muzny DM, Yang SP, Wang Z, Chinwalla AT, Minx P, Mitreva M, Cook L, Delehaunty KD, Fronick C, Schmidt H, ... ... Hobolth A, et al. Comparative and demographic analysis of orang-utan genomes. Nature. 469: 529-33. PMID 21270892 DOI: 10.1038/Nature09687 |
0.377 |
|
| 2011 |
Hobolth A, Dutheil JY, Hawks J, Schierup MH, Mailund T. Incomplete lineage sorting patterns among human, chimpanzee, and orangutan suggest recent orangutan speciation and widespread selection. Genome Research. 21: 349-56. PMID 21270173 DOI: 10.1101/Gr.114751.110 |
0.34 |
|
| 2011 |
Hobolth A, Jensen JL. Summary statistics for endpoint-conditioned continuous-time Markov chains Journal of Applied Probability. 48: 911-924. DOI: 10.1239/Jap/1324046009 |
0.323 |
|
| 2009 |
Hobolth A, Stone EA. SIMULATION FROM ENDPOINT-CONDITIONED, CONTINUOUS-TIME MARKOV CHAINS ON A FINITE STATE SPACE, WITH APPLICATIONS TO MOLECULAR EVOLUTION. The Annals of Applied Statistics. 3: 1204. PMID 20148133 DOI: 10.1214/09-Aoas247 |
0.323 |
|
| 2009 |
Dutheil JY, Ganapathy G, Hobolth A, Mailund T, Uyenoyama MK, Schierup MH. Ancestral population genomics: the coalescent hidden Markov model approach. Genetics. 183: 259-74. PMID 19581452 DOI: 10.1534/Genetics.109.103010 |
0.431 |
|
| 2008 |
Hobolth A, Uyenoyama MK, Wiuf C. Importance sampling for the infinite sites model. Statistical Applications in Genetics and Molecular Biology. 7: Article32. PMID 18976228 DOI: 10.2202/1544-6115.1400 |
0.326 |
|
| 2008 |
Hobolth A. A Markov Chain Monte Carlo expectation maximization algorithm for statistical analysis of DNA sequence evolution with neighbor-dependent substitution rates Journal of Computational and Graphical Statistics. 17: 138-162. DOI: 10.1198/106186008X289010 |
0.358 |
|
| 2007 |
Choi SC, Hobolth A, Robinson DM, Kishino H, Thorne JL. Quantifying the impact of protein tertiary structure on molecular evolution. Molecular Biology and Evolution. 24: 1769-82. PMID 17522088 DOI: 10.1093/Molbev/Msm097 |
0.63 |
|
| 2007 |
Hobolth A, Christensen OF, Mailund T, Schierup MH. Genomic relationships and speciation times of human, chimpanzee, and gorilla inferred from a coalescent hidden Markov model. Plos Genetics. 3: e7. PMID 17319744 DOI: 10.1371/Journal.Pgen.0030007 |
0.394 |
|
| 2006 |
Jónsdóttir KY, Hoffmann LM, Hobolth A, Vedel Jensen EB. On error prediction in circular systematic sampling. Journal of Microscopy. 222: 212-6. PMID 16872420 DOI: 10.1111/J.1365-2818.2006.01589.X |
0.322 |
|
| 2005 |
Hobolth A, Jensen JL. Statistical inference in evolutionary models of DNA sequences via the EM algorithm. Statistical Applications in Genetics and Molecular Biology. 4: Article18. PMID 16646835 DOI: 10.2202/1544-6115.1127 |
0.334 |
|
| 2005 |
Christensen OF, Hobolth A, Jensen JL. Pseudo-likelihood analysis of codon substitution models with neighbor-dependent rates. Journal of Computational Biology : a Journal of Computational Molecular Cell Biology. 12: 1166-82. PMID 16305327 DOI: 10.1089/Cmb.2005.12.1166 |
0.407 |
|
| 2005 |
Hobolth A, Jensen JL. Applications of hidden Markov models for characterization of homologous DNA sequences with a common gene. Journal of Computational Biology : a Journal of Computational Molecular Cell Biology. 12: 186-203. PMID 15767776 DOI: 10.1089/Cmb.2005.12.186 |
0.373 |
|
| 2005 |
Jørgensen FG, Hobolth A, Hornshøj H, Bendixen C, Fredholm M, Schierup MH. Comparative analysis of protein coding sequences from human, mouse and the domesticated pig. Bmc Biology. 3: 2. PMID 15679890 DOI: 10.1186/1741-7007-3-2 |
0.41 |
|
| 2003 |
Hobolth A, Pedersen J, Jensen EBV. A continuous parametric shape model Annals of the Institute of Statistical Mathematics. 55: 227-242. DOI: 10.1007/Bf02530496 |
0.355 |
|
| 2002 |
Hobolth A, Jensen EBV. A note on design-based versus model-based variance estimation in stereology Advances in Applied Probability. 34: 484-490. DOI: 10.1239/Aap/1033662161 |
0.34 |
|
| 2002 |
Hobolth A, Pedersen J, Vedel Jensen EB. A deformable template model, with special reference to elliptical templates Journal of Mathematical Imaging and Vision. 17: 131-137. DOI: 10.1023/A:1020681419750 |
0.333 |
|
| 2000 |
Hobolth A, Jensen EBV. Modelling stochastic changes in curve shape, with an application to cancer diagnostics Advances in Applied Probability. 32: 344-362. DOI: 10.1239/Aap/1013540167 |
0.35 |
|
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