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
| Stage 1 |
Initial Quality & Plagiarism Check The manuscript is reviewed for journal scope, basic submission requirements, ethical compliance, and similarity/plagiarism concerns. |
| Stage 2 |
Editorial Assessment & Peer Review Manuscripts that pass the initial screening undergo editorial assessment and independent peer review in accordance with the journal's peer-review policy. |
| Stage 3 |
Revision & Editorial Decision Authors may be requested to revise their manuscript based on reviewer and editor comments. A final editorial decision is made after the required review and revision stages are completed. |
| Stage 4 |
Production & Publication Accepted manuscripts proceed to production, author proofing, final quality checks, and online publication. |
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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