Sequencing technologies are evolving at a rapid pace, enabling the generation of massive
amounts of data in multiple dimensions (eg, genomics, epigenomics, transcriptomic …

Rapid advances in high-throughput genomic technology have enabled biology to enter the
era of 'Big Data'(large datasets). The plant science community not only needs to build its …

Despite the increased access to high-quality plant genome sequences, the set of genes with
a known function remains far from complete. With the advent of novel bulk and single-cell …

Abstract Machine learning (ML) is a field of artificial intelligence that has rapidly emerged in
molecular biology, thus allowing the exploitation of Big Data concepts in plant genomics. In …

Highly efficient and accurate selection of elite genotypes can lead to dramatic shortening of
the breeding cycle in major crops relevant for sustaining present demands for food, feed …

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 …

In recent years, generation of large‐scale data from genome, transcriptome, proteome,
metabolome, epigenome, and others, has become routine in several plant species. Most of …

Understanding cellular metabolic systems is vital not only for determining the function of
enzymatic genes, but also for elucidating the coordination among various metabolic …

With the advancements in high-throughput sequencing technologies such as Illumina,
PacBio, and 10X Genomics platforms, and gas/liquid chromatography-mass spectrometry …

Omics and bioinformatics are essential to understanding the molecular systems that underlie
various plant functions. Recent game-changing sequencing technologies have revitalized …