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SciRoKo: a new tool for whole genome microsatellite search and investigation

Open access
Kofler, Robert, Schlötterer, Christian, Lelley, Tamas·2007·Bioinformatics

Abstract

Summary: SciRoKo is a user-friendly software tool for the identification of microsatellites in genomic sequences. The combination of an extremely fast search algorithm with a built-in summary statistic tool makes SciRoKo an excellent tool for full genome analysis. Compared to other already existing tools, SciRoKo also allows the analysis of compound microsatellites. Availability: free for use: www.kofler.or.at/Bioinformatics Contact: robert.kofler@boku.ac.at Supplementary information: Supplementary data are available at Bioinformatics online.

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Metadata

Authors
Kofler, R., Schlötterer, C., & Lelley, T.
Venue
Bioinformatics
Published
2007-04-26
Volume
23
Issue
13
Pages
1683-1685
ISSN
  • 1367-4803 (ISSN-L)
  • 1367-4811
OpenAlex
W2150641734
Cited by
340
References
1
FWCI
6.03
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: SciRoKo: a new tool for whole genome microsatellite search and investigation. https://app.cochat.ai/papers/10.1093/bioinformatics/btm157
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Kofler, R., Schlötterer, C., & Lelley, T. (2007). SciRoKo: a new tool for whole genome microsatellite search and investigation. Bioinformatics. https://doi.org/10.1093/bioinformatics/btm157

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.