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По вашему запросу найдено документов: 325

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Algorithm for Physiological Interpretation of Transcriptome Profiling Data for Non-Model Organisms

Gubaev R., Gorshkov V., Gapa L., Gogoleva N., Vetchinkina E., Gogolev Y.

is limited. Transcriptome profiling is often performed in the so-called non-model organisms, which are those

A metaanalysis of bat phylogenetics and positive selection based on genomes and transcriptomes from 18 species

Hawkins J.A.

transcriptome sequence of Hypsignathus monstrosus, the African hammer-headed bat, and additional transcriptome

The transcriptome of type i murine astrocytes under interferon-gamma exposure and remyelination stimulus

Kudriaeva A., Galatenko V., Maltseva D., Khaustova N., Kuzina E., Tonevitsky A., Gabibov A., Belogurov A.

system (CNS) disorders, particularly multiple sclerosis. The transcriptome of these cells is greatly

Comparison of the Illumina NextSeq 2000 and GeneMind Genolab M sequencing platforms for spatial transcriptomics

Tatiana Gerashchenko, Evgeny Denisov, Pavel Iamshchikov, Irina Larionova, Denis Piankov, Philipp Koshkin, Sergei Korostelev

Mind Genolab M for 10x Genomics Visium spatial transcriptomics. Results The performed comparison demonstrates

Editorial: Bioinformatics of Genome Regulation, Volume II

Orlov Y.L., Anashkina A.A., Tatarinova T.V., Baranova A.V.

transcriptomics

Estrogens and uterine fibroids: an integrated view

Alsudairi, H. N.

transcriptomics

Transcriptomic analysis of covid-19 lungs and bronchoalveolar lavage fluid samples reveals predominant b cell activation responses to infection

Cavalli E.

to design better therapeutic strategies for cOVId-19. In the present study, a transcriptomic analysis

Laser microdissection of pisum sativum l. Nodules followed by rna‐seq analysis revealed crucial transcriptomic changes during infected cell differentiation

Kusakin P.G., Serova T.A., Gogoleva N.E., Gogolev Y.V., Tsyganov V.E.

followed by RNA‐seq analysis, we performed transcriptomic profiling in the early infection zone, late

Combined metabolome and transcriptome analysis reveals key components of complete desiccation tolerance in an anhydrobiotic insect

Ryabova A., Cornette R., Cherkasov A., Watanabe M., Okuda T., Shagimardanova E., Kikawada T., Gusev O.

. For this reason, we conducted a comprehensive comparative metabolome-transcriptome analysis in the larvae. We

Транскриптомика единичных клеток позволяет идентифицировать новые клетки-предшественники и переходные состояния процесса эмбрионального развития

Солдатов Руслан

single cell transcriptomics

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