| Popis: |
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. |
