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- W4289653591 abstract "Artificial neural network is used to solve complex problem-related to codon attaching to sequence to the correct interpretation in a refined method. This resulting RNA in translation process of polyadenylation starts with the transcription of a gene terminates. However, the 3′-most segment is made by pre-mRNA is initially sliced off by a group of proteins. These proteins thereafter synthesize the poly (A) tail at the RNA’s 3′ end. Therefore, many transcripts from a single gene (alternative polyadenylation) are synthesized by polyadenylation as it is carried out in alternative splicing. The multilayer perceptron network has been used to elucidate the annotation associated with the transcription and subsequently the translation. These individual units/neurons are connected by links, and these links are provided with associated synaptic weights. The method of using the sequence of gene for sequence aligning was retrieved from the public domain database—GenBank. The sequence used as a string in this work was of bacterium—Ralstonia solanacearum. The work was executed in the bioinformatics tool in MATLAB for extracting the complete information of sequence with its position and sequence of codons." @default.
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- W4289653591 date "2022-08-04" @default.
- W4289653591 modified "2023-09-27" @default.
- W4289653591 title "Deep Learning Approaches for DNA Transcription and Position of Genetic Factor of Bacteria—Ralstonia solanacearum" @default.
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- W4289653591 doi "https://doi.org/10.1007/978-981-19-2065-3_58" @default.
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