Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Andrew A. Shelenkov"'
Autor:
Mikhail Shugay, Andrew R Zaretsky, Dmitriy A Shagin, Irina A Shagina, Ivan A Volchenkov, Andrew A Shelenkov, Mikhail Y Lebedin, Dmitriy V Bagaev, Sergey Lukyanov, Dmitriy M Chudakov
Publikováno v:
PLoS Computational Biology, Vol 13, Iss 5, p e1005480 (2017)
Unique molecular identifiers (UMIs) show outstanding performance in targeted high-throughput resequencing, being the most promising approach for the accurate identification of rare variants in complex DNA samples. This approach has application in mul
Externí odkaz:
https://doaj.org/article/0b51a4001a6245a080de45dd1c585258
Autor:
Konstantin A Blagodatskikh, Vladimir M Kramarov, Ekaterina V Barsova, Alexey V Garkovenko, Dmitriy S Shcherbo, Andrew A Shelenkov, Vera V Ustinova, Maria R Tokarenko, Simon C Baker, Tatiana V Kramarova, Konstantin B Ignatov
Publikováno v:
PLoS ONE, Vol 12, Iss 9, p e0184507 (2017)
Whole-genome amplification (WGA) techniques are used for non-specific amplification of low-copy number DNA, and especially for single-cell genome and transcriptome amplification. There are a number of WGA methods that have been developed over the yea
Externí odkaz:
https://doaj.org/article/8f13b4071d0149deb95f6732bce576bf
Autor:
Ekaterina V. Barsova, Konstantin A. Blagodatskikh, Dmitriy S. Shcherbo, Alexey V. Garkovenko, Simon C. Baker, Tatiana V. Kramarova, Maria R. Tokarenko, Andrew A. Shelenkov, Vera V. Ustinova, Konstantin Ignatov, Vladimir Kramarov
Publikováno v:
PLoS ONE
PLoS ONE, Vol 12, Iss 9, p e0184507 (2017)
PLoS ONE, Vol 12, Iss 9, p e0184507 (2017)
Whole-genome amplification (WGA) techniques are used for non-specific amplification of low-copy number DNA, and especially for single-cell genome and transcriptome amplification. There are a number of WGA methods that have been developed over the yea
Publikováno v:
Mathematical Biology and Bioinformatics. 8:529-536
In this paper we compared the information decomposition (ID) method and the spectral-statistical (SS) approach. We showed that the SS approach does not take into account the effect of small samples, and it does erroneous search of statistically signi
Autor:
Dmitry M. Chudakov, Mikhail Y. Lebedin, Irina A. Shagina, Mikhail Shugay, Andrew R. Zaretsky, Dmitriy V. Bagaev, Ivan A. Volchenkov, Andrew A. Shelenkov, Sergey A. Lukyanov, Dmitriy A. Shagin
Publikováno v:
PLoS Computational Biology
PLoS Computational Biology, Vol 13, Iss 5, p e1005480 (2017)
PLOS Computational Biology
PLoS Computational Biology, Vol 13, Iss 5, p e1005480 (2017)
PLOS Computational Biology
Unique molecular identifiers (UMIs) show outstanding performance in targeted high-throughput resequencing, being the most promising approach for the accurate identification of rare variants in complex DNA samples. This approach has application in mul
Publikováno v:
Briefings in Bioinformatics. 13:143-149
A web server for searching latent periodicity based on the method of modified profile analysis has been developed. This method allows searching latent periodicity in presence of insertions and deletions. During searching process, the periodicity clas
Publikováno v:
Computational Biology and Chemistry. 33:196-204
In this paper, the notion of ''regularity'' is introduced to describe the structural features of DNA sequences. This notion expands the ''latent periodicity'' term. The novel method for revealing regularity based on the runs test is described. The se
Publikováno v:
Russian Journal of Genetics. 44:101-114
The information decomposition (ID) method has been used for searching dinucleotide periodicities, including latent ones, in plant genomes. In nucleotide sequences of genomes of various plants from the GenBank database, 14766 sequences with a periodic
Publikováno v:
DNA Research. 13:89-102
We used the method of Information Decomposition developed by us to identify the latent dinucleotide periodicity regions in bacterial genomes. The number of potential minisatellite sequences obtained at high level of statistical significance was 454.
Publikováno v:
Gene. 409(1-2)
We present MMsat-a database of DNA sequences from GenBank possessing the latent periodicity at high level of statistical significance and having the period length in a range from 2 to 100 bases. The periodicity was found by analytical method of infor