Bioinformatics for Modern Neuroscience

The current field of neuroscience is increasingly using bioinformatics, which has provided new research avenues, thus enhancing our understanding of brain functions. Some well-known examples include high-throughput analysis of single-cell transcriptomics, comparative genomics, networks & neurophysiology, the latter encompassing neuronal modeling and high power computation. From focusing on a single neuron to encoding millions, in silico tools are now providing tremendous experimental insights into neurophysiology.

In this Research Topic, we invite contributions on all aspects related to bioinformatics in neuroscience, either in the form of original research articles, reviews or short perspective articles. Articles advancing our knowledge on brain function, or dysfunction, are particularly welcomed.

All article types are welcomed, especially those focusing on methodology (data handling, processing, visualization, scripts, software). Relevant topics include, but are not limited to, the following:

• Software (open access and/or online);

• Data processing and/or mining;

• Modelling (of neurons and/or networks);

• Computational neuroscience;

• Technology (including equipment);

• Statistics (applied to neuroscience);

• Scripts, libraries and/or packages;

• "Omics" approaches in neuroscience;

• Structure-Activity relationships in neuroscience;

• Gene expression/analysis;

• Evolutionary neuroscience.