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Título
Review of state-of-the-art algorithms for genomics data analysis pipelines
Autor(es)
Palabras clave
Genomics
Precision medicine
Workflow management system
Cloud computing
Clasificación UNESCO
1203.04 Inteligencia Artificial
2409 Genética
Fecha de publicación
2022
Resumen
[EN]The advent of big data and advanced genomic sequencing technologies has presented challenges in terms of data processing for clinical use. The complexity of detecting and interpreting genetic variants, coupled with the vast array of tools and algorithms and the heavy computational workload, has made the development of comprehensive genomic analysis platforms crucial to enabling clinicians to quickly provide patients with genetic results. This chapter reviews and describes the pipeline for analyzing massive genomic data using both short-read and long-read technologies, discussing the current state of the main tools used at each stage and the role of artificial intelligence in their development. It also introduces DeepNGS (deepngs.eu), an end-to-end genomic analysis web platform, including its key features and applications.
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