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Autor:
Che, You, Yang, Yu, Xu, Xiaoqing, Břinda, Karel, Polz, Martin F., Hanage, William P., Zhang, Tong
Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America, 2021 Aug . 118(35), 1-2.
Externí odkaz:
https://www.jstor.org/stable/27075281
Autor:
Che, You, Yang, Yu, Xu, Xiaoqing, Břinda, Karel, Polz, Martin F., Hanage, William P., Zhang, Tong
Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America, 2021 May . 118(21), 1-2.
Externí odkaz:
https://www.jstor.org/stable/27040583
Motivation: Identifying genomic variants is an essential step for connecting genotype and phenotype. The usual approach consists of statistical inference of variants from alignments of sequencing reads. State-of-the-art variant callers can resolve a
Externí odkaz:
http://arxiv.org/abs/1712.01146
Autor:
Che, You, Yang, Yu, Xu, Xiaoqing, Brinda, Karel, Polz, Martin F., Hanage, William P., Zhang, Tong
Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America, 2021 Feb 01. 118(6), 1-12.
Externí odkaz:
https://www.jstor.org/stable/27006242
Variant detection from high-throughput sequencing data is an essential step in identification of alleles involved in complex diseases and cancer. To deal with these massive data, elaborated sequence analysis pipelines are employed. A core component o
Externí odkaz:
http://arxiv.org/abs/1605.09070
Blind people can now use maps located at Mapy.cz, thanks to the long-standing joint efforts of the ELSA Center at the Czech Technical University in Prague, the Teiresias Center at Masaryk University, and the company Seznam.cz. Conventional map underl
Externí odkaz:
http://arxiv.org/abs/1603.09520
Publikováno v:
Bioinformatics 32.1 (2016): 136-139
Aligning reads to a reference sequence is a fundamental step in numerous bioinformatics pipelines. As a consequence, the sensitivity and precision of the mapping tool, applied with certain parameters to certain data, can critically affect the accurac
Externí odkaz:
http://arxiv.org/abs/1504.00556
Publikováno v:
Bioinformatics (2015) 31 (22): 3584-3592
Metagenomics is a powerful approach to study genetic content of environmental samples that has been strongly promoted by NGS technologies. To cope with massive data involved in modern metagenomic projects, recent tools [4, 39] rely on the analysis of
Externí odkaz:
http://arxiv.org/abs/1502.06256
Autor:
Břinda, Karel
Publikováno v:
EPTCS 151, 2014, pp. 139-150
Several algorithms for similarity search employ seeding techniques to quickly discard very dissimilar regions. In this paper, we study theoretical properties of lossless seeds, i.e., spaced seeds having full sensitivity. We prove that lossless seeds
Externí odkaz:
http://arxiv.org/abs/1403.6414