Dr. Maria Anisimova

Dr. Maria Anisimova

Dr. Maria Anisimova
ZHAW Life Sciences und Facility Management

+41 (0) 58 934 58 82

Persönliches Profil


  • Leitung "ACGT: Applied Computational Genomics Team"

Tätigkeit an der ZHAW als

Senior research associate and lecturer


Arbeits- und Forschungsschwerpunkte, Spezialkenntnisse

Stochastic modeling and simulation for genomic data
Model-based classification, prediction and hypothesis testing
Algorithms for genomic sequence analysis
Bio-statistical model selection and hypothesis testing based on molecular sequences
Applied computational genomics for medicine, ecology and agriculture

Aus- und Fortbildung

PhD in Statistical Genomics (2003) University College London, UK
MRes in Modeling Biological Complexity (2000) University College London, UK
MSci in Mathematics and IT (1993) Pedagogical University of Nizhny Novgorod, Russia
Certified high school teacher (1993) Pedagogical University of Nizhny Novgorod, Russia

Beruflicher Werdegang

2007 - 2014: Senior research fellow and lecturer, Computer Science Department, ETH Zurich, Switzerland
2005 - 2007: Postdoctoral researcher, Biology Department, University College London, UK
2003 - 2004: Postdoctoral researcher, LIRMM-CNRS, University of Montpellier II, France
1997 - 1999: Head of maths and teacher, Bellerbys College London, Study Group International, UK
1993 - 1997: Assistant lecturer, School of Geometry, Nizhny Novgorod Pedagogical State University, Russia

Mitglied in Netzwerken



Mitarbeit an folgenden Projekten


Beiträge, peer-reviewed

; ; ; ().

DNA polymorphism and selection at the bindin locus in three Strongylocentrotus sp.(Echinoidea)


BMC genetics, 17, 1. Peer reviewed.


Darwin and Fisher meet at biotech: on the potential of computational molecular evolution in industry


BMC Evolutionary Biology, 15, 1. 76. Peer reviewed.

; ; ; ; ; ; ; ; ; ; ().

Functional Assignment to Positively Selected Sites in the Core Type III Effector RipG7 from Ralstonia solanacearum


Molecular Plant Pathology DOI: 10.1111/mpp.12302. Peer reviewed.

; ; ().

Maximum-Likelihood Tree Estimation Using Codon Substitution Models with Multiple Partitions


In: Mol Biol Evol. Oxford: Oxford University Press. Peer reviewed.

; ().

Methodologies for Phylogenetic Inference


Encyclopedia of Life Sciences eLS: 1–5.. Peer reviewed.

; ; ().

Statistical approaches to detecting and analyzing tandem repeats in genomic sequences


Frontiers Bioeng Biotech (to appear). Peer reviewed.

; ; ; ; ().

The SIB Swiss Institute of Bioinformatics’ resources: focus on curated databases


In: Nucleic Acids Research. (doi: 10.1093/nar/gkv1310). Oxford: Oxford University Press. Peer reviewed.

; ; ; ; ; ; ; ; ().

TRAL: Tandem repeat annotation library


In: Bioinformatics. (31 (18): 3051-3053). Oxford: Oxford University press. Peer reviewed.

; ; ().

Antibody-specific model of amino acid substitution for immunological inferences from alignments of antibody sequences


Mol Biol Evol doi: 10.1093/molbev/msu340. Peer reviewed.

; ; ().

Deep conservation of human protein tandem repeats within the eukaryotes. doi: 10.1093/molbev/msu062


MolBiol Evol, 31 , 5. 1132-1148. Peer reviewed.

; ; ; ; ().

Natural selection at coding and non-coding DNA mainly affects pathogenicity-related genes in the hemibiotrophic fungus Colletotrichum graminicola.


Genome Biol Evol, 6 , 9. 2368-2379. Peer reviewed.

; ().

The evolution and function of protein tandem repeats in plants. New Phytologist


New Phytologist, doi: 10.1111/nph.13184 Peer reviewed.

; ().

Unraveling patterns of site-to-site synonymous rates variation and associated gene properties of protein domains and families.


PLoS One, 9, 6. e95034. Peer reviewed.

Beiträge, nicht peer-reviewed

; ; ; ; ; ; ().

As a stone thrown in a still pond: Predicting human influenza epidemiological dynamics after 2009 A/pH1N1 pandemic explosion


In: ZHAW Forum Health & Life Sciences 2016. Wädenswil, ZH: ZHAW.


Evolution from mathematician to bioinformatician by natural selection


In: POST-DOC-DOC 2.0. Life Sciences. Schloss Au, Wädenswil: UZH.


Evolution of protein tandem repeats


In: Virtual Computational Biology Seminar Series. Lausanne: SIB.


Computational methods for detecting and analyzing tandem repeats


In: Non-globular proteins - from sequence to structure, function and application in molecular physiopathology. NGP-NET symposium. Porto, Portugal: COST action BM1405.


Disentangling tandem repeats and their evolutionary histories using statistical prediction


In: First NGP-net symposium on non-globular proteins. Non-globular proteins - from sequence to function, structure and application in molecular physiopathology (NGP-net). Porto, Portugal: COST action BM1405 .


Disentangling tandem repeats, their evolution and roles in genomic sequences


In: EES seminar series. Munich: LMU.

; ().

Methodologies for phylogenetic inference


In: Encyclopedia of Life Sciences . Hoboken, New Jersey, United States: John Wiley & Sons.


Next Generation Comparative Phylogenomics


In: Phylogenomics for NGS data. Geneva: StarOmics symposium.


Bioinformatique et génomique (in French)


In: . Lycée de la Planta: Sion.

; ().

GNOME 2014 Festschrift (Edited collection)


In: . Zurich: PeerJPrePrints.


Joint alignmnet and phylogeny for large genomics data


Transfer, 3


Visualisation of multiple sequence alignment and phylogeny


In: VIZBI. Heidelberg: Germany.

Publikationen vor Tätigkeit an der ZHAW

All publications can be found on Google Scholar:

*** Books ****************************

Anisimova, M. (Ed.) 2012. Evolutionary Genomics: statistical and computational methods Springer (Humana Press):
vol 1: ISBN 978-1-61779-581-7
vol 2: ISBN 978-1-61779-584-8

*** Book chapters and reviews *********

Kosiol C. and M. Anisimova 2012. Methods for detecting natural selection in protein-coding genes in "Evolutionary Genomics: statistical and computational methods" vol. 2 , ed. Anisimova M. within Meth. Mol. Biol. Series of Humana-Springer link

Anisimova, M. 2012. Parametric models of codon evolution in Codon Evolution: mechanisms and models, eds. Cannarozzi G, Schneider A., Oxford University Press

Anisimova, M. and D. Liberles 2012. Detecting and understanding natural selection, in Codon Evolution: mechanisms and models, eds. Cannarozzi G, Schneider A., Oxford University Press

Roth, A., M. Anisimova, and G.M. Cannarozzi 2012. Measuring codon usage bias, in Codon Evolution: mechanisms and models, eds. Cannarozzi G, Schneider A., Oxford University Press

Anisimova*, M., G.M. Cannarozzi* , and D.A. Liberles* 2010. Finding the balance between the mathematical and biological optima in multiple sequence alignment. Trends Evol. Biol. 2(1): e7

*** Editorials ************************

Anisimova, M., D. A. Liberles, H. Philippe, J. Provan, T. Pupko, and A. von Haeseler 2013. State-of the art methodologies dictate new standards for phylogenetic analysis. BMC Evol. Biol. 13:161

Anisimova, M. 2012. Preface to “Evolutionary genomics: statistical and computational methods” (2 vols), ed. Anisimova, in Meth Mol Biol, Springer

*** Peer-reviewed research articles ***

Sidorova, J. and M. Anisimova 2014. NLP-inspired structural pattern recognition in chemical application. Pattern Recognition Letters 45:11–16

Gil*, M., M.S. Zanetti*, S. Zoller, and M Anisimova 2013. CodonPhyML: Fast maximum likelihood phylogeny estimation under codon substitution models. Mol Biol Evol 30(6):1270-80

Szalkowski, A., and M. Anisimova 2013. Graph-based modeling of tandem repeats improves global multiple sequence alignment. Nucl Acids Res 41(17):e162

Peeters, N., S. Carrère, M. Anisimova, L. Plener, A.C. Cazalé, S. Genin 2013. Repertoire, unified nomenclature and evolution of the Type III effector gene set in the Ralstonia solanacearum species complex. BMC Genomics 14:859

Schirrmeister, B.E., D.A. Dalquen, M. Anisimova and H.C. Bagheri 2012. Gene copy number variation and its significance in cyanobacterial phylogeny. BMC Microbiology 2:177

Schaper, E., A.V. Kajava, A. Hauser, and M. Anisimova 2012. Repeat or not repeat?—Statistical validation of tandem repeat prediction in genomic sequences Nucl. Acids Res. 40 (20): 10005-10017

Anisimova, M., M. Gil, JF. Dufayard, C. Dessimoz, O. Gascuel 2011. Survey of branch support methods demonstrates accuracy, power, and robustness of fast likelihood-based approximation schemes. Syst Biol 60:685–699

Schirrmeister B. E., M. Anisimova, A. Antonelli, H. C. Bagheri 2011. Evolution of cyanobacterial morphotypes: taxa required for improved phylogenomic approaches. Communicative & Integrative Biology 4(4): 424–427

Szalkowski A., and M. Anisimova 2011. Markov models of amino acid substitution to study proteins with intrinsically disordered regions. PLoS One 6(5): e20488

Balakirev E.S., M. Anisimova, and F.J. Ayala 2011. Complex interplay of evolutionary forces in the ladybird homeobox genes of Drosophila melanogaster. PLoS One 6(7): e22613

Remigi P., M. Anisimova, A. Guidot, S. Genin and N. Peeters. 2011. Functional diversification of the GALA type-three effector family contributes to Ralstonia solanacearum adaptation on several plant hosts. New Phytologist 192(4): 976–987

Dalquen D. A, M. Anisimova, G. Gonnet, and C. Dessimoz 2011. ALF - A simulation framework for genome evolution. Mol Biol Evol 29(4): 1115-1123

Wang M, M. Kapralov, and M. Anisimova 2011. Co-evolution of amino acid residues in the key photosynthetic enzyme RuBisCo in land plants. BMC Evol Biol 11:266

Guindon, S., JF. Dufayard, V. Lefort, M. Anisimova, W. Hordijk and O. Gascuel 2010. New algorithms and methods to estimate maximum-likelihood phylogenies: assessing the performance of PhyML 3.0 Syst. Biol. 59(3):307-321

Dimitrieva, S. and M. Anisimova 2010. PANDITplus: toward better integration of evolutionary view on molecular sequences with supplementary bioinformatics resources. Trends Evol. Biol. 2(1): e1

Anisimova, M. and C. Kosiol 2009. Investigating protein-coding sequence evolution with probabilistic codon substitution models. Mol. Biol. Evol. 26(2):255-271

Kajava, A.V., M. Anisimova, and N. Peeters 2008. Origin and evolution of GALA-LRR, a new member of the CC-LRR subfamily: from plants to bacteria? PLoS One 3(2): e1694.

Anisimova, M. and Z. Yang 2007. Multiple hypotheses testing to detect adaptive protein evolution affecting individual branches and sites. Mol. Biol. Evol. 24:1219-1228

Anisimova, M., J.P. Bielawski, K. Dunn and Z. Yang 2007. Phylogenomic analysis of natural selection pressure in Streptococcus. BMC Evol. Biol. 7:154-167

Anisimova, M. and D. A. Liberles. 2007 The quest for natural selection in the age of comparative genomics. Heredity 99:567-579

Anisimova, M. and O. Gascuel. 2006. Approximate likelihood ratio test for branches: a fast, accurate and powerful alternative. Syst. Biol. 55(4):539-552

Balakirev, E.S., M. Anisimova, and F.J. Ayala 2006. Positive and negative selection in the beta-esterase gene cluster of the Drosophila melanogaster subgroup. J. Mol. Evol. 62: 496-510

Anisimova, M. and Z. Yang 2004. Molecular evolution of HDV antigen gene: recombination or positive selection? J. Mol. Evol. 59: 815-826

Anisimova, M., R. Nielsen, and Z. Yang 2003. Effect of recombination on the accuracy of the likelihood method for detecting positive selection at amino acid sites. Genetics 164: 1229-1236

Anisimova, M., J. P. Bielawski, and Z. Yang 2002. Accuracy and power of Bayes prediction of amino acid sites under positive selection. Mol. Biol. Evol. 19:950-958

Anisimova, M., J. P. Bielawski, and Z. Yang 2001. Accuracy and power of the likelihood ratio test to detect adaptive molecular evolution. Mol. Biol. Evol. 18:1585-1592