Результаты исследований: Научные публикации в периодических изданиях › статья › Рецензирование
TandemTools: mapping long reads and assessing/improving assembly quality in extra-long tandem repeats. / Mikheenko, Alla ; Bzikadze, Andrey; Gurevich, Alexey ; Miga, Karen; Певзнер, Павел Аркадьевич.
в: Bioinformatics, Том 36, № 1, 01.07.2020, стр. i75–i83.Результаты исследований: Научные публикации в периодических изданиях › статья › Рецензирование
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TY - JOUR
T1 - TandemTools: mapping long reads and assessing/improving assembly quality in extra-long tandem repeats
AU - Mikheenko, Alla
AU - Bzikadze, Andrey
AU - Gurevich, Alexey
AU - Miga, Karen
AU - Певзнер, Павел Аркадьевич
PY - 2020/7/1
Y1 - 2020/7/1
N2 - MotivationExtra-long tandem repeats (ETRs) are widespread in eukaryotic genomes and play an important role in fundamental cellular processes, such as chromosome segregation. Although emerging long-read technologies have enabled ETR assemblies, the accuracy of such assemblies is difficult to evaluate since there are no tools for their quality assessment. Moreover, since the mapping of error-prone reads to ETRs remains an open problem, it is not clear how to polish draft ETR assemblies.ResultsTo address these problems, we developed the TandemTools software that includes the TandemMapper tool for mapping reads to ETRs and the TandemQUAST tool for polishing ETR assemblies and their quality assessment. We demonstrate that TandemTools not only reveals errors in ETR assemblies but also improves the recently generated assemblies of human centromeres.
AB - MotivationExtra-long tandem repeats (ETRs) are widespread in eukaryotic genomes and play an important role in fundamental cellular processes, such as chromosome segregation. Although emerging long-read technologies have enabled ETR assemblies, the accuracy of such assemblies is difficult to evaluate since there are no tools for their quality assessment. Moreover, since the mapping of error-prone reads to ETRs remains an open problem, it is not clear how to polish draft ETR assemblies.ResultsTo address these problems, we developed the TandemTools software that includes the TandemMapper tool for mapping reads to ETRs and the TandemQUAST tool for polishing ETR assemblies and their quality assessment. We demonstrate that TandemTools not only reveals errors in ETR assemblies but also improves the recently generated assemblies of human centromeres.
UR - https://academic.oup.com/bioinformatics/article/36/Supplement_1/i75/5870463
UR - http://www.scopus.com/inward/record.url?scp=85087923906&partnerID=8YFLogxK
U2 - 10.1093/bioinformatics/btaa440
DO - 10.1093/bioinformatics/btaa440
M3 - Article
VL - 36
SP - i75–i83
JO - Bioinformatics
JF - Bioinformatics
SN - 1367-4803
IS - 1
T2 - 28th Conference on International Society for Computational Biology
Y2 - 13 July 2020 through 16 July 2020
ER -
ID: 60722634