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Интеллектуальная Система Тематического Исследования НАукометрических данных |
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JetGene—Online Database and Toolkit for an Analysis of Regulatory Regions or Nucleotide Contexts at Differently Translated Plants Transcriptsстатья
- Авторы: Sadovskaya N.S., Mustafaev O.N., Tyurin A.A., Deyneko I.V., Goldenkova-Pavlova I.V.
- Сборник: Biology and Life Sciences Forum
- Серия: 4
- Том: 1
- Год издания: 2021
- Место издания: MDPI
- Первая страница: 98
- DOI: 10.3390/iecps2020-08624
- Аннотация: mRNAs have some regulatory codes which can define the fate of an individual mRNA in translation. We have developed a flexible online database JetGene (https://jetgene.bioset.org/; accessed on 23 October 2020) that contains cDNA, CDS, 5′-UTR, 3′-UTR sequences from Bacteria, Fungi, Metazoa, Plants, Protists and Vertebrates with the aim of searching regulatory codes in mRNA and studying their correlation with the translational efficiency. It has a friendly interface and puts together a set of tools which are necessary for designing experiments. JetGene allows doing a benchmark analysis of sequences, namely: (1) to estimate the variation of length, nucleotide composition, frequency of codon usage, to analyze GC-content, CpG-islands, to study nucleotides surrounding the start codon and much more; (2) to identify and define the statistically significant representation of potential regulatory contexts at mRNA with different translation efficiency. A user can make a bioinformatics analysis for full-length transcripts or for a fragment of transcripts, or for coding/non-coding regions. Every step of the work is accompanied by a graphical interpretation of the results. Moreover, the beta-version of JetGene (https://beta.bioset.org, under construction; accessed on 23 October 2020) allows users to compare two datasets of mRNA and to apply omics data for searching and predicting the regulatory determinants of translation.
- Добавил в систему: Садовская Наталия Сергеевна