Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Yuri G. Matushkin"'
Publikováno v:
Journal of Bioinformatics and Computational Biology. :627-643
We propose an original program "Evolutionary constructor" that is capable of computationally efficient modeling of both population-genetic and ecological problems, combining these directions in one model of required detail level. We also present resu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::70f7f4de6d3b3777895c37c706b107c3
https://doi.org/10.1142/s0219720010004653
https://doi.org/10.1142/s0219720010004653
Autor:
Vitaly A Likhoshvay, Yuri G Matushkin, Aleksey V Kochetov, Elena V Ignateva, Nadezhda A Omelyanchuk
Publikováno v:
Экологическая генетика, Vol 1, Iss 1, Pp 67-74 (2003)
Bioinformatic resources (databases of the gene nets, transcriptional and posttranscriptional expression signals, programs for recognition of functional sites and prediction of their activities) are reviewed in respect of their utility for gene engine
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::796bc33395c03c87fddc067682858acf
https://journals.eco-vector.com/ecolgenet/article/viewFile/5383/4166
https://journals.eco-vector.com/ecolgenet/article/viewFile/5383/4166
Publikováno v:
FEBS Letters. 516:87-92
We analyzed the interrelation between the efficiency of a gene expression and the nucleotide composition of all protein-coding sequences in 38 unicellular organisms whose complete genomic sequences are known. These organisms comprise 37 prokaryotic (
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::88db0c996c643639ba7be4cc5db0ce0e
https://doi.org/10.1016/s0014-5793(02)02507-3
https://doi.org/10.1016/s0014-5793(02)02507-3
Publikováno v:
FEBS Letters. 412:429-432
Prions cause a variety of neurodegenerative disorders that seem to result from a conformational change in the prion protein (PrP). Thirty-two PrP sequences have been subjected to phylogenetic analysis followed by reconstruction of the most probable e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ba3b1864977bc07cb5653a45528e2929
https://doi.org/10.1016/s0014-5793(97)00810-7
https://doi.org/10.1016/s0014-5793(97)00810-7
Autor:
Alexey S. Kutsenko, Alexei Protopopov, Claes Wahlestedt, Lev L. Kisselev, Anita Gyanchandani, Raf M. Podowski, Wyeth W. Wasserman, Vladimir I. Kashuba, S. M. Kvasha, Yuri G. Matushkin, R. Z. Gizatullin, Viktor G. Levitsky, Olga V. Muravenko, Nikolay A. Kolchanov, Eugene R. Zabarovsky, A. N. Al-Amin, Fuli Wang
A set of 22 551 unique human NotI flankingsequences (16.2 Mb) was generated. More than 40%of the set had regions with significant similarity toknown proteins and expressed sequences. The datademonstrate that regions flanking NotI sites are lesslik
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::27bdb239b284b44d6a61c48bb584c722
https://europepmc.org/articles/PMC135748/
https://europepmc.org/articles/PMC135748/
