Biological public databases and computational tools are essential to the development of data-driven approaches for the understanding of human diseases. The first reported biological database was a protein sequence database developed by Margaret Dayhoff in 1965. Since then, bioinformatics has emerged as a necessary discipline to leverage an increasing volume of data through interdisciplinary lenses and methods, providing insights into pathophysiologic mechanisms in several diseases, like neurological disorders.
Bioinformatics has revolutionized molecular biology and genetics, providing tools and databases to study DNA variants, gene expression, epigenetics marks, and biological networks. From Mendelian disorders to complex neurodegenerative diseases, bioinformatics approaches have helped to identify molecular mechanisms in these disorders, diminishing the time and costs of experimental approaches by suggesting better hypotheses for future validation.
This Research Topic aims to highlight the latest and the state of art bioinformatics methods and approaches applied to investigate fundamental questions in neuroscience, from neurodevelopment to neurogenerative disease. We encourage authors to contribute with review articles, protocols, opinions on methodologies or applications including the advantages and limitations of each. However, all article types are welcomed. We are particularly interested in, but not limited to, research in the field of multi-omics, machine learning, systems biology, and drug repositioning. We also welcome submissions that propose user-friendly bioinformatics databases and tools with promising contributions within the field of neuroscience.
Keywords: Bioinformatics, gene expression analysis, transcriptomics, epigenomics, machine learning, drug discovery, systems biology, genomics, GWAS, computational biology.
Biological public databases and computational tools are essential to the development of data-driven approaches for the understanding of human diseases. The first reported biological database was a protein sequence database developed by Margaret Dayhoff in 1965. Since then, bioinformatics has emerged as a necessary discipline to leverage an increasing volume of data through interdisciplinary lenses and methods, providing insights into pathophysiologic mechanisms in several diseases, like neurological disorders.
Bioinformatics has revolutionized molecular biology and genetics, providing tools and databases to study DNA variants, gene expression, epigenetics marks, and biological networks. From Mendelian disorders to complex neurodegenerative diseases, bioinformatics approaches have helped to identify molecular mechanisms in these disorders, diminishing the time and costs of experimental approaches by suggesting better hypotheses for future validation.
This Research Topic aims to highlight the latest and the state of art bioinformatics methods and approaches applied to investigate fundamental questions in neuroscience, from neurodevelopment to neurogenerative disease. We encourage authors to contribute with review articles, protocols, opinions on methodologies or applications including the advantages and limitations of each. However, all article types are welcomed. We are particularly interested in, but not limited to, research in the field of multi-omics, machine learning, systems biology, and drug repositioning. We also welcome submissions that propose user-friendly bioinformatics databases and tools with promising contributions within the field of neuroscience.
Keywords: Bioinformatics, gene expression analysis, transcriptomics, epigenomics, machine learning, drug discovery, systems biology, genomics, GWAS, computational biology.
