gblocks_oneclick
gblocks_oneclick removes poorly aligned positions and divergent regions from multiple sequence alignments to improve alignment quality for downstream analyses such as phylogenetic inference, functional annotation, and comparative genomics.
Key Features:
- Automated Sequence Cleaning: Automates removal of ambiguously aligned segments and divergent regions from multiple sequence alignments.
- Reproducibility and Transparency: Operates within the Galaxy framework to record analysis steps and support reproducible workflows.
- Scalability for Large Datasets: Processes large-scale datasets typical of next-generation sequencing outputs.
Scientific Applications:
- Phylogenetic Analysis: Produces cleaner alignments that improve accuracy of phylogenetic tree construction.
- Functional Genomics: Removes regions of alignment uncertainty to support more reliable functional annotation from alignments.
- Comparative Genomics: Refines alignments for comparative analyses across species or strains to facilitate evolutionary and genetic studies.
Methodology:
Identifies and eliminates poorly aligned positions within multiple sequence alignments by evaluating alignment blocks using user-defined criteria such as gap content and conservation levels to retain the most reliable regions.
Topics
Collections
Details
- Maturity:
- Mature
- Tool Type:
- web application
- Added:
- 12/19/2016
- Last Updated:
- 11/25/2024
Operations
Data Inputs & Outputs
Sequence alignment analysis
Publications
Afgan E, Baker D, van den Beek M, Blankenberg D, Bouvier D, Čech M, Chilton J, Clements D, Coraor N, Eberhard C, Grüning B, Guerler A, Hillman-Jackson J, Von Kuster G, Rasche E, Soranzo N, Turaga N, Taylor J, Nekrutenko A, Goecks J. The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2016 update. Nucleic Acids Research. 2016;44(W1):W3-W10. doi:10.1093/nar/gkw343. PMID:27137889. PMCID:PMC4987906.
Mareuil F, Doppelt-Azeroual O, Ménager H. A public Galaxy platform at Pasteur used as an execution engine for web services. Unknown Journal. 2017. doi:10.7490/f1000research.1114334.1.