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Maria Anisimova
Has grant
Professor / Director of Bioinformatics Center
Research Interests
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About
Maria Anisimova is a Professor and the Director of the Bioinformatics Center at ZHAW Zurich University of Applied Sciences in Switzerland. Her research interests encompass bioinformatics, particularly in the areas of phylogenetics and computational methods for analyzing genetic variations. She has published extensively on topics such as indel analyses in HIV-1, short tandem repeat variations, and the application of computational methods in natural products research.
Recent Grants
Grant: Close
Trans-omic approach to colorectal cancer: an integrative computational and clinical perspective
Open Date: 2020-10-01
Close Date: 2024-09-30
Grant: Close
The effect of programmed ribosomal frameshifting on codon usage bias
Open Date: 2019-03-01
Close Date: 2023-02-28
Grant: Close
Repeat protein Function Refinement, Annotation and Classification of Topologies
Open Date: 2019-01-01
Close Date: 2024-06-30
Grant: Close
Frequentist estimation of the evolutionary history of sequences with substitutions and indels
Open Date: 2018-05-01
Close Date: 2023-02-28
Grant: Close
Bio-SODA: Enabling Complex, Semantic Queries to Bioinformatics Databases through Intuitive Searching over Data
Open Date: 2017-04-01
Close Date: 2021-03-31
Articles (11)
Year:
2025
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2025
Year:
2025
Year:
2024
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2024
Year:
2023
Short tandem repeats (STRs) are units of 1–6 bp that repeat in a tandem fashion in DNA. Along with single nucleotide polymorphisms and large structural variations, they are among the major genomic variants underlying genetic, and likely phenotypic, divergence. STRs experience mutation rates that are orders of magnitude higher than other well‐studied genotypic variants. Frequent copy number changes result in a wide range of alleles, and provide unique opportunities for modulating complex phenotypes through variation in repeat length. While classical studies have identified key roles of individual STR loci, the advent of improved sequencing technology, high‐quality genome assemblies for diverse species, and bioinformatics methods for genome‐wide STR analysis now enable more systematic study of STR variation across wide evolutionary ranges. In this review, we explore mutation and selection processes that affect STR copy number evolution, and how these processes give rise to varying STR patterns both within and across species. Finally, we review recent examples of functional and adaptive changes linked to STRs.
Year:
2022
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2022
Year:
2022
Year:
2022
Year:
2020
Collaborators (8)
David Vandenbergh
Professor
Pennsylvania State University
Andreas Lardos
Head of Research Group
Zürcher Hochschule für Angewandte Wissenschaften
Elena Grassi
Candiolo Cancer Institute, FPO-IRCCS
Andrea Bertotti
Candiolo Cancer Institute
Michael Baudis
Associate Professor of Bioinformatics
University of Zurich
Julia Sidorova
Universidad Carlos III de Madrid
Manuel Gil
Head of Research Center for Bioinformatics
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Tugce Bilgin Sonay
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