Artificial Intelligence-Driven Self-Healing Bioinformatics Pipelines: A Systematic Review of Automated Failure Detection and Remediation in Omics and Computational Biology Workflows

Abstract excerpt

<title>Abstract</title> <p> <bold>Background</bold> : Bioinformatics pipelines spanning genomics, transcriptomics, proteomics, and metagenomics face a pervasive reproducibility crisis driven by software dependency drift, resource exhaustion, and non-deterministic tool behaviour. Despite substantial investment in workflow management systems such as Nextflow, Snakemake, and Galaxy, pipeline failure responses rema...

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• Genetics, Bioinformatics, and Biomedical Research
• Genotype
• Genotyping Techniques
• Human Papillomavirus Viruses
• Papillomaviridae
• Papillomavirus Infections
• Radiomics and Machine Learning in Medical Imaging
• Risk Assessment

Identifiers and source

Literature Corpus work

16b8f03f-dce1-5638-b411-775562e8cb41

DOI

10.21203/rs.3.rs-9619074/v1