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

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 …

Understanding the genetic regulatory code governing gene expression is an important
challenge in molecular biology. However, how individual coding and non-coding regions of …

Accurate computational identification of promoters remains a challenge as these key DNA
regulatory regions have variable structures composed of functional motifs that provide gene …

Promoter is a fundamental DNA element located around the transcription start site (TSS) and
could regulate gene transcription. Promoter recognition is of great significance in …

Promoter sequences are the main regulatory elements of gene expression. Their recognition
by computer algorithms is fundamental for understanding gene expression patterns, 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 …

Gene silencing by artificial microRNAs (amiRNAs) is one of the most crucial methods for the
development of desired horticultural plants. amiRNAs are highly specific, around 21 nt long …

Promoters are crucial regulatory DNA regions for gene transcriptional activation. Rapid
advances in next-generation sequencing technologies have accelerated the accumulation …

This book covers a wide range of subjects in applying machine learning approaches for
bioinformatics projects. The book succeeds on two key unique features. First, it introduces …