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Microbiology research at the systems biology and bioinformatics - 2019 (SBB-2019) school
Orlov Y.L., Ignatov A.N., Galieva E.R., Dobrovolskaya O.B.
Microbiology research at the systems biology and bioinformatics - 2019 (SBB-2019) school
COMPUTER ANALYSIS OF PLANT STRESS RESPONSE: GENE NETWORKS AND TRANSCRIPTIONAL REGULATION
Kononov V.A., Orlova N.G., Orlov Y.L.
at molecular level requires new interdisciplinary methods based on bioinformatics approaches, analysis
Biological insight, high-throughput datasets and the nature of neuro-degenerative disorders
Valente A., Oliveira P., Khaiboullina S., Palotás A., Rizvanov A.
. This transition has been associated with the advent of bio-informatics: mathematicians, physicists, computer
GENE NETWORK ANALYSIS FOR COMPLEX DISEASE USING ONLINE BIOINFORMATICS TOOLS
Shakirova R.R., Orlova N.G., Elistratova M.G., Korobeynikova A.V., Mozyleva Y.A., Orlov Y.L.
GENE NETWORK ANALYSIS FOR COMPLEX DISEASE USING ONLINE BIOINFORMATICS TOOLS
Efflux systems in Serratia marcescens
Mardanova A., Bogomol'naya L., Romanova Y., Sharipova M.
and in other enterobacteria. Bioinformatical analysis of the S. marcescens genome allowed us to identify
Genomic technologies in neonatology
Chernova L.N., Zhegalova I.V.
. The article reveals the role of translational bioinformatics in the analysis and integration of the results
Cancer immunology, bioinformatics and chemokine evidence link vaccines contaminated with animal proteins to autoimmune disease: A detailed look at Crohn’s disease and Vitiligo
Arumugham V., Trushin M.
that resemble human proteins) results in autoimmunity. Bioinformatics analysis demonstrates that animal proteins
The hemolytic propertiesof clinical isolates of Morganella morganii
Minnullina L., Al Allak M., Khaitlina S., Sharipova M., Mardanova A.
of hemolysins is higher in synthetic urine. Finally, the PCR-analysis of 5 hypothetical hemolysin genes has
Biological insight, high-throughput datasets and the nature of neuro-degenerative disorders
Valente A., Oliveira P., Khaiboullina S., Palotás A., Rizvanov A.
. This transition has been associated with the advent of bio-informatics: mathematicians, physicists, computer
Efflux systems in Serratia marcescens
Mardanova A., Bogomol'naya L., Romanova Y., Sharipova M.
and in other enterobacteria. Bioinformatical analysis of the S. marcescens genome allowed us to identify

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