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Maria Anisimova

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Professor / Director of Bioinformatics Center

Zurich University of Applied Sciences (ZHAW)
Country flagSwitzerland

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

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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

UNITED STATES
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Andreas Lardos

Head of Research Group

Zürcher Hochschule für Angewandte Wissenschaften

SWITZERLAND
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Elena Grassi

Candiolo Cancer Institute, FPO-IRCCS

ITALY
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Andrea Bertotti

Candiolo Cancer Institute

ITALY
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Michael Baudis

Associate Professor of Bioinformatics

University of Zurich

SWITZERLAND
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Julia Sidorova

Universidad Carlos III de Madrid

SPAIN
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Manuel Gil

Head of Research Center for Bioinformatics

-

SWITZERLAND
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Tugce Bilgin Sonay

-

UNITED STATES
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