bpositive
bpositive enables analysis of positive selection in protein sequences to identify adaptive amino acid changes using ADOPS-compatible batch processing and centralized project storage.
Key Features:
- Integration with ADOPS: Extends the Adaptive Divergence Of Protein Sequences (ADOPS) framework and operates on ADOPS project files.
- Batch processing and scalability: Provides batch processing capabilities to analyze hundreds to thousands of sequence files or ADOPS projects.
- Centralized repository for ADOPS projects: Stores ADOPS projects and their results to enable management of large datasets.
- Support for maximum-likelihood codon models: Enables analyses based on codon substitution models, including codeml, to infer positive selection at amino acid sites.
- Repeatability and data reuse: Centralization of results promotes reproducibility and facilitates reuse of prepared datasets across analyses.
Scientific Applications:
- Detection of positive selection: Identification of amino acid sites under positive selection in protein-coding genes using maximum-likelihood codon substitution models.
- Comparative and large-scale evolutionary analyses: Support for genome-scale or multi-gene studies across diverse organisms by handling large numbers of ADOPS projects.
Methodology:
Collect sequence data and run ADOPS to infer positively selected amino acid sites using maximum-likelihood codon substitution models (e.g., codeml), with results managed in a centralized database to enable batch processing and large-dataset management.
Topics
Details
- Maturity:
- Mature
- Cost:
- Free of charge
- Tool Type:
- web application
- Added:
- 10/22/2019
- Last Updated:
- 11/24/2024
Operations
Publications
Vázquez N, Vieira CP, Amorim BSR, Torres A, López-Fernández H, Fdez-Riverola F, Sousa JLR, Reboiro-Jato M, Vieira J. Large Scale Analyses and Visualization of Adaptive Amino Acid Changes Projects. Interdisciplinary Sciences: Computational Life Sciences. 2018;10(1):24-32. doi:10.1007/s12539-018-0282-7. PMID:29383564. PMCID:PMC5838210.
Vázquez N, Vieira CP, Amorim BSR, Torres A, López-Fernández H, Fdez-Riverola F, Sousa JLR, Reboiro-Jato M, Vieira J. Automated Collection and Sharing of Adaptive Amino Acid Changes Data. Advances in Intelligent Systems and Computing. 2017. doi:10.1007/978-3-319-60816-7_3.