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Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-3883
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dc.contributor.authorAnisimova, Maria-
dc.contributor.authorPečerska, Jūlija-
dc.contributor.authorSchaper, Elke-
dc.date.accessioned2018-07-17T14:53:34Z-
dc.date.available2018-07-17T14:53:34Z-
dc.date.issued2015-
dc.identifier.issn2296-4185de_CH
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/8262-
dc.description.abstractTandem repeats (TRs) are frequently observed in genomes across all domains of life. Evidence suggests that some TRs are crucial for proteins with fundamental biological functions and can be associated with virulence, resistance, and infectious/neurodegenerative diseases. Genome-scale systematic studies of TRs have the potential to unveil core mechanisms governing TR evolution and TR roles in shaping genomes. However, TR-related studies are often non-trivial due to heterogeneous and sometimes fast evolving TR regions. In this review, we discuss these intricacies and their consequences. We present our recent contributions to computational and statistical approaches for TR significance testing, sequence profile-based TR annotation, TR-aware sequence alignment, phylogenetic analyses of TR unit number and order, and TR benchmarks. Importantly, all these methods explicitly rely on the evolutionary definition of a tandem repeat as a sequence of adjacent repeat units stemming from a common ancestor. The discussed work has a focus on protein TRs, yet is generally applicable to nucleic acid TRs, sharing similar features.de_CH
dc.language.isoende_CH
dc.publisherFrontiers Research Foundationde_CH
dc.relation.ispartofFrontiers in Bioengineering and Biotechnologyde_CH
dc.rightshttp://creativecommons.org/licenses/by/4.0/de_CH
dc.subjectMolecular evolutionde_CH
dc.subjectProtein domainde_CH
dc.subjectSequence profile modelde_CH
dc.subjectTandem repeat annotationde_CH
dc.subjectTandem repeatde_CH
dc.subject.ddc004: Informatikde_CH
dc.subject.ddc572: Biochemiede_CH
dc.titleStatistical approaches to detecting and analyzing tandem repeats in genomic sequencesde_CH
dc.typeBeitrag in wissenschaftlicher Zeitschriftde_CH
dcterms.typeTextde_CH
zhaw.departementLife Sciences und Facility Managementde_CH
zhaw.organisationalunitInstitut für Computational Life Sciences (ICLS)de_CH
dc.identifier.doi10.3389/fbioe.2015.00031de_CH
dc.identifier.doi10.21256/zhaw-3883-
dc.identifier.pmid25853125de_CH
zhaw.funding.euNode_CH
zhaw.issue31de_CH
zhaw.originated.zhawYesde_CH
zhaw.publication.statuspublishedVersionde_CH
zhaw.volume3de_CH
zhaw.publication.reviewPeer review (Publikation)de_CH
zhaw.webfeedBiomedical String Analysisde_CH
zhaw.webfeedComputational Genomicsde_CH
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Anisimova, M., Pečerska, J., & Schaper, E. (2015). Statistical approaches to detecting and analyzing tandem repeats in genomic sequences. Frontiers in Bioengineering and Biotechnology, 3(31). https://doi.org/10.3389/fbioe.2015.00031
Anisimova, M., Pečerska, J. and Schaper, E. (2015) ‘Statistical approaches to detecting and analyzing tandem repeats in genomic sequences’, Frontiers in Bioengineering and Biotechnology, 3(31). Available at: https://doi.org/10.3389/fbioe.2015.00031.
M. Anisimova, J. Pečerska, and E. Schaper, “Statistical approaches to detecting and analyzing tandem repeats in genomic sequences,” Frontiers in Bioengineering and Biotechnology, vol. 3, no. 31, 2015, doi: 10.3389/fbioe.2015.00031.
ANISIMOVA, Maria, Jūlija PEČERSKA und Elke SCHAPER, 2015. Statistical approaches to detecting and analyzing tandem repeats in genomic sequences. Frontiers in Bioengineering and Biotechnology. 2015. Bd. 3, Nr. 31. DOI 10.3389/fbioe.2015.00031
Anisimova, Maria, Jūlija Pečerska, and Elke Schaper. 2015. “Statistical Approaches to Detecting and Analyzing Tandem Repeats in Genomic Sequences.” Frontiers in Bioengineering and Biotechnology 3 (31). https://doi.org/10.3389/fbioe.2015.00031.
Anisimova, Maria, et al. “Statistical Approaches to Detecting and Analyzing Tandem Repeats in Genomic Sequences.” Frontiers in Bioengineering and Biotechnology, vol. 3, no. 31, 2015, https://doi.org/10.3389/fbioe.2015.00031.


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