CoalescentSTR is a statistical method that estimate repeat numbers in
\na microsatellite region for multiple samples from high-throughput
\nsequencing data. Multiple samples can be handled in one statistical
\nmodel based on coalescent theory, and accurate estimation of repeat
\nnumbers are enabled even for microsatellite regions longer than the
\nlength of sequence reads.<\/p>\n
K. Kojima, Y. Kawai, N. Nariai, T. Mimori, T. Hasegawa and M.
\nNagasaki. Short tandem repeat number estimation from paired-end
\nsequence reads by considering unobserved genealogy of multiple
\nindividuals. Proc. 11th International Symposium on Bioinformatics
\nResearch and Applications, volume 9096 of Lecture Notes in Computer
\nScience, pp.422-423, Springer Berlin Heidelberg, 2015.<\/p>\n
<\/p>\n
Citation
\nPlease cite the following manuscript related to this software:<\/p>\n
K. Kojima, Y. Kawai, N. Nariai, T. Mimori, T. Hasegawa and M.
\nNagasaki. Short tandem repeat number estimation from paired-end
\nsequence reads by considering unobserved genealogy of multiple
\nindividuals. Proc. 11th International Symposium on Bioinformatics
\nResearch and Applications, volume 9096 of Lecture Notes in Computer
\nScience, pp.422-423, Springer Berlin Heidelberg, 2015.<\/p>\n","protected":false},"excerpt":{"rendered":"
CoalescentSTR is a statistical method that estimate repeat numbers in a microsatellite region for multiple samples from high-throughput sequencing data. Multiple samples can be handled in one statistical model based on coalescent theory, and accurate estimation of repeat numbers are … Continue reading