SciRoKo: a new tool for whole genome microsatellite search and investigation
By Robert Kofler, Christian Schlötterer, T. Lelley. Bioinform., 2007
351 citations recorded by the source corpus.
UNLABELLED 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. SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
Subfields: Genetics, Molecular Biology, Plant Science
View Paper: https://www.semanticscholar.org/paper/2ba0e8c8683ecae57d257320dea0e18c0fdd364d
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Citations in the corpus
- Microsatellite markers: what they mean and why they are so useful (2016, methodology): “It is worth noting that a number of SSR search algorithms have been developed, including TRF (Benson, 1999), SSRIT (Temnykh, 2001), MISA (Thiel et al., 2003), SSRFinder (Gao et al., 2003), TROLL (Castelo et al., 2002) and SciRoKo (Kofler et al., 2007).”
- Methods for Development of Microsatellite Markers: An Overview (2014, neutral): “With the availability of SSR mining tools like TROLL (Castelo et al., 2002), MISA (Thiel et al., 2003), SciRoKo (Kofler et al., 2007), Msatcommander (Faircloth, 2008), QDD (Meglécz et al., 2010) etc., it has now become a fast approach to search for microsatellite repeats in the EST sequences/…”
- MISA-web: a web server for microsatellite prediction (2017, background): “SciRoKo and TRF were the fastest and slowest programs, respectively.”
- Recent advances of genome mapping and marker‐assisted selection in aquaculture (2013, background): “2001), SciRoko (Kofler et al. 2007) and many more (see review Sharma et al.”