myBrain-Seq
myBrain-Seq performs comprehensive analysis of microRNA sequencing (miRNA-Seq) data to identify differentially expressed miRNAs and perform pathway-enrichment analyses for neuropsychiatric research.
Key Features:
- Reproducibility and Standardization: Integrates widely used tools to provide a standardized, reproducible workflow for miRNA-Seq analyses.
- Quality control and preprocessing: Includes quality control and preprocessing of raw sequencing data specific to miRNA-Seq.
- Normalization: Performs normalization of count data prior to differential expression analysis.
- Differential Expression Analysis: Uses DESeq2 and EdgeR to identify differentially expressed microRNAs (DE miRNAs) between conditions.
- Functional and Pathway Analysis: Conducts pathway-enrichment analyses to assign biological meaning to DE miRNAs and support biomarker identification.
- Result integration: Integrates differential expression and pathway-enrichment results into a coherent framework highlighting potential biological pathways.
Scientific Applications:
- Schizophrenia and treatment-resistant schizophrenia (TRS): Applied to studies of schizophrenia and TRS, including derivation of a 16-miRNA profile distinguishing TRS patients from medication-responsive patients.
- Diagnosis and prognosis: Supports identification of diagnostic and prognostic miRNA signatures in neuropsychiatric research.
- Mechanistic studies: Enables exploration of molecular mechanisms underlying neuropsychiatric conditions through integration of DE miRNAs and pathway-enrichment analyses.
Methodology:
Quality control and preprocessing of raw miRNA-Seq data, normalization of counts, differential expression analysis using DESeq2 and EdgeR, pathway-enrichment analyses, and integration of results into a coherent framework.
Topics
Collections
Details
- License:
- MIT
- Maturity:
- Emerging
- Cost:
- Free of charge
- Tool Type:
- command-line tool, workflow
- Added:
- 5/31/2023
- Last Updated:
- 11/24/2024
Operations
Data Inputs & Outputs
RNA-Seq quantification
Inputs
Outputs
Network visualisation
Inputs
Outputs
Heat map generation
Inputs
Outputs
Publications
Pérez-Rodríguez D, López-Fernández H, Agís-Balboa RC. Application of miRNA-seq in neuropsychiatry: A methodological perspective. Computers in Biology and Medicine. 2021;135:104603. doi:10.1016/j.compbiomed.2021.104603. PMID:34216893.
Pérez-Rodríguez D, Agís-Balboa RC, López-Fernández H. MyBrain-Seq: A Pipeline for MiRNA-Seq Data Analysis in Neuropsychiatric Disorders. Biomedicines. 2023;11(4):1230. doi:10.3390/biomedicines11041230. PMID:37189848. PMCID:PMC10135678.
Pérez-Rodríguez D, Pérez-Rodríguez M, Agís-Balboa RC, López-Fernández H. Towards a Flexible and Portable Workflow for Analyzing miRNA-Seq Neuropsychiatric Data: An Initial Replicability Assessment. Lecture Notes in Networks and Systems. 2022. doi:10.1007/978-3-031-17024-9_4.
Pérez-Rodríguez D, López-Fernández H, Agís-Balboa RC. On the Reproducibility of MiRNA-Seq Differential Expression Analyses in Neuropsychiatric Diseases. Lecture Notes in Networks and Systems. 2021. doi:10.1007/978-3-030-86258-9_5.
Pérez-Rodríguez D, Penedo MA, Rivera-Baltanás T, Peña-Centeno T, Burkhardt S, Fischer A, Prieto-González JM, Olivares JM, López-Fernández H, Agís-Balboa RC. MiRNA Differences Related to Treatment-Resistant Schizophrenia. International Journal of Molecular Sciences. 2023;24(3):1891. doi:10.3390/ijms24031891. PMID:36768211. PMCID:PMC9916039.