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Найдено документов в текущей БД: 3

    Symmetry of Siberian Larch Transcriptome
[Text] : статья / Michael G. Sadovsky [et al.] // Журнал Сибирского федерального университета. Серия: Биология. - 2015. - Т. 8, № 3. - P278-286, DOI 10.17516/1997-1389-2015-8-3-278-286 . - ISSN 1997-1389
   Перевод заглавия: Симметрия транскриптома сибирской лиственницы
УДК

Аннотация: The paper presents a novel approach to infer a structuredness in a set of symbol sequences such as transcriptome nucleotide sequences. A distribution pattern of triplet frequencies in the Siberian larch (Larix sibirica Ledeb.) transcriptome sequences was investigated in the presented study. It was found that the larch transcriptome demonstrates a number of unexpected symmetries in the statistical and combinatorial properties.
Проанализированы структуры, выделяемые в транскриптоме лиственницы. Показано, что данный набор последовательностей обладает необычной симметрией своих статистических и комбинаторных свойств.

РИНЦ

Держатели документа:
Georg-August-University of Gottingen
Institute of Computational Modelling SB RAS
M University HFSB
N. I. Vavilov Institute of General Genetics RAS
Siberian Federal University Genome Research and Education Centre
Texas A&amp
V. N. Sukachev Institute of Forest SB RAS

Доп.точки доступа:
Sadovsky, M.G.; Садовский, Михаил Георгиевич; Birukov, Vladislav V.; Бирюков В.В.; Putintseva, Yuliya A.; Путинцева Ю.А.; Oreshkova, Nataliya V.; Орешкова Н.В.; Vaganov, Eugene A.; Ваганов Е.А.; Krutovsky, Konstantin V.; Крутовский К.В.

    De novo assembly and cluster analysis of Siberian Larch transcriptome and genome
/ M. Sadovsky [et al.] // Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). - 2016. - Vol. 9656: 4th International Work-Conference on Bioinformatics and Biomedical Engineering, IWBBIO 2016; Granada; Spain; 20 April 2016 through 22 April 2016; Code 173369. - P455-464, DOI 10.1007/978-3-319-31744-1_41 . -

Кл.слова (ненормированные):
Cluster -- Elastic map -- Evolution -- Frequency -- Order -- Triplet -- Bioinformatics -- Biomedical engineering -- Genes -- Cluster -- Evolution -- Frequency -- Order -- Triplet -- Cluster analysis

Аннотация: We studied Siberian Larch (Larix Sibirica) transcriptome making de novo assembly and cluster analysis of contigs frequency dictionaries. Also, some preliminary results of similar study of the larch genome are present. It was found that the larch transcriptome yields a number of unexpected symmetries in the statistical and combinatorial properties of the entities. © Springer International Publishing Switzerland 2016.

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Держатели документа:
Institute of Computational Modelling of SB RAS, Akademgorodok, Krasnoyarsk, Russian Federation

Доп.точки доступа:
Sadovsky, M.; Putintseva, Y.; Birukov, V.; Novikova, S.; Krutovsky, K.

    Triplet Frequencies Implementation in Total Transcriptome Analysis
/ M. Sadovsky, T. Guseva, V. Biriukov // (8 May 2019 through 10 May 2019 : Springer Verlag, 2019. - Vol. 11465 LNBI. - P370-378, DOI 10.1007/978-3-030-17938-0_33 . -

Кл.слова (ненормированные):
Clustering -- Order -- Probability -- Projection -- Symmetry -- Triplet -- Bioinformatics -- Biomedical engineering -- Crystal symmetry -- Probability -- Clustering -- Mutual entropy -- Order -- Projection -- Tissue specificity -- Tissue specifics -- Transcriptome analysis -- Triplet -- Tissue

Аннотация: We studied the structuredness inA total transcriptome of Siberian larch. To do that, the contigs from total transcriptome has been labeled with the reads comprising the tissue specific transcriptomes, and the distribution of the contigs from the total transcriptome has been developed with respect to the mutual entropy of the frequencies of occurrence of reads from tissue specific transcriptomes. It was found that a number of contigs contain comparable amounts of reads from different tissues, so the chimeric transcripts to be extremely abundant. On the contrary, the transcripts with high tissue specificity do not yield a reliable clustering revealing the tissue specificity. This fact makes usage of total transcriptome for the purposes of differential expression arguable. © 2019, Springer Nature Switzerland AG.

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РИНЦ

Держатели документа:
Institute of Computational Modelling of SB RAS, Akademgorodok, Krasnoyarsk 660036, Russian Federation
Institute of Fundamental Biology and Biotechnology, Siberian Federal University, Svobodny prosp., 79, Krasnoyarsk, 660049, Russian Federation

Доп.точки доступа:
Sadovsky, M.; Guseva, T.; Biriukov, V.