Mounting evidence has highlighted the implementation of big data handling and
management in the healthcare industry to improve the clinical services. Various private and …

In the face of a growing global population, plant breeding is being used as a sustainable tool
for increasing food security. A wide range of high-throughput omics technologies have been …

Abstract Machine learning (ML) is being ubiquitously incorporated into everyday products
such as Internet search, email spam filters, product recommendations, image classification …

Covering: up to 2022 With the emergence of large amounts of omics data, computational
approaches for the identification of plant natural product biosynthetic pathways and their …

Across all facets of biology, the rapid progress in high-throughput data generation has
enabled us to perform multi-omics systems biology research. Transcriptomics, proteomics …

Deep learning (DL), an emerging area of investigation in the fields of machine learning and
artificial intelligence, has markedly advanced over the past years. DL techniques are being …

Stilbene synthase (STS) is the key enzyme leading to the biosynthesis of resveratrol.
Recently we reported two R2R3-MYB transcription factor (TF) genes that regulate the …

Avocado (Persea americana Mill) is rich in a variety of essential nutrients and
phytochemicals; thus, consumption has drastically increased in the last 10 years. Avocado …

Translating data to knowledge and actionable insights is the Holy Grail for many scientific
fields, including biology. The unprecedented massive and heterogeneous data have created …

High-throughput (HTP) plant phenotyping approaches are developing rapidly and are
already helping to bridge the genotype–phenotype gap. However, technologies should be …