At present, there is a large amount of publicly available high-throughput data in different omics in the field of neuroscience, but it has not been fully and comprehensively applied. Using existing data can help put forward new views and explore new mechanisms for the occurrence and treatment of neurological diseases, which will accelerate the development of neuroscience. In these articles, authors can identify key molecular and cellular players that underlie the structure and function of the brain, which could accordingly shed light on new views and mechanisms of neurological diseases.
This research topic aims to address following problems:
- In each article, for corresponding neurological diseases, relatively novel molecular mechanisms can be proposed through bioinformatics analysis, and appropriate experimental verification is encouraged.
- For various neurological diseases, key molecules that can be preferentially studied and targeted should proposed, using the joint analysis of multi-omics and the common conclusions of independent works.
- For various neurological diseases, the possible errors or falsifications of existing views should be put forward through multi-omics comparison.
We welcome the following article types about bioinformatics and multi-omics analysis of neurological disorders: Original Research, Report, Data Report, Hypothesis & Theory, Methods, Mini Review, Review, Study Protocol, etc., including but not limited to the following themes:
- The mechanism research of central nervous system diseases is the first choice.
- Prefer the joint analysis of multi-omics data of some disease or phenotype.
- Prefer the joint analysis of multiple data sets of some disease or phenotype.
- Further experimental verification based on the bioinformatics analysis conclusion is preferred, especially for intervention experiments rather than simple observation data.
- Candidates: exploring neural-related mechanisms (e.g., nerve innervation) in other disease progression (e.g., tumors) through bioinformatics analysis.
- Network pharmacology and other computational approaches in nervous system diseases.
- Articles with experimental and clinical studies as the main part are recommended to include a part of bioinformatics analysis about the neurological disorder.
At present, there is a large amount of publicly available high-throughput data in different omics in the field of neuroscience, but it has not been fully and comprehensively applied. Using existing data can help put forward new views and explore new mechanisms for the occurrence and treatment of neurological diseases, which will accelerate the development of neuroscience. In these articles, authors can identify key molecular and cellular players that underlie the structure and function of the brain, which could accordingly shed light on new views and mechanisms of neurological diseases.
This research topic aims to address following problems:
- In each article, for corresponding neurological diseases, relatively novel molecular mechanisms can be proposed through bioinformatics analysis, and appropriate experimental verification is encouraged.
- For various neurological diseases, key molecules that can be preferentially studied and targeted should proposed, using the joint analysis of multi-omics and the common conclusions of independent works.
- For various neurological diseases, the possible errors or falsifications of existing views should be put forward through multi-omics comparison.
We welcome the following article types about bioinformatics and multi-omics analysis of neurological disorders: Original Research, Report, Data Report, Hypothesis & Theory, Methods, Mini Review, Review, Study Protocol, etc., including but not limited to the following themes:
- The mechanism research of central nervous system diseases is the first choice.
- Prefer the joint analysis of multi-omics data of some disease or phenotype.
- Prefer the joint analysis of multiple data sets of some disease or phenotype.
- Further experimental verification based on the bioinformatics analysis conclusion is preferred, especially for intervention experiments rather than simple observation data.
- Candidates: exploring neural-related mechanisms (e.g., nerve innervation) in other disease progression (e.g., tumors) through bioinformatics analysis.
- Network pharmacology and other computational approaches in nervous system diseases.
- Articles with experimental and clinical studies as the main part are recommended to include a part of bioinformatics analysis about the neurological disorder.
