Bioinformatics and AI in Genomics
Bioinformatics and artificial intelligence (AI) play an essential role in analyzing the massive datasets produced by genomic research. Bioinformatics uses computational tools to process, store, and interpret genomic information, while AI enhances pattern recognition, variant prediction, and disease modeling through machine learning and deep learning algorithms. Together, they accelerate the discovery of gene-disease relationships, enable multi-omics integration, and support the development of personalized therapies. AI-powered platforms can identify biomarkers, classify cancers, predict drug responses, and streamline clinical decision-making with remarkable accuracy.
Article Processing Timeline
| 2-5 Days | Initial Quality & Plagiarism Check |
| 25-35 Days |
Peer Review Feedback |
| 45-60 Days | Total article processing time |
EDITORIAL & PUBLICATION INFORMATION
| English | Publication Language |
| Single-Blind | Peer-Review Model |
| 17% | Acceptance Rate |
| <18% | Similarity Screening Guideline |
| Open Access | Access Model |
All manuscripts undergo editorial assessment and originality screening as part of the journal's evaluation process. The acceptance rate shown is based on journal-level editorial data and may change over time. Similarity reports are assessed editorially and are not interpreted solely on the basis of a numerical similarity score.
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