seqtypedetect
seqtypedetect identifies and categorizes sequence data types within FASTA files to enable appropriate downstream genomic analyses.
Key Features:
- Integration with Galaxy Platform: Executes tools and workflows via the Galaxy platform on the Institut Pasteur compute cluster for high-performance sequence processing.
- Galaxy API and Bioblend Integration: Communicates with the Galaxy instance using the Galaxy API or the Bioblend library to manage jobs and data programmatically.
- FASTA Sequence Type Detection: Analyzes FASTA files to determine the type of sequence data they contain.
- Scalable Cluster Execution and Storage Access: Leverages Galaxy execution to scale across multiple computational nodes and access Institut Pasteur storage resources.
Scientific Applications:
- Metagenomic Data Analysis: Identifies sequence types within complex metagenomic datasets and interfaces with tools such as MetaGenSense.
- Phylogenetic Studies: Ensures correct sequence categorization for phylogenetic workflows, including use with NGphylogeny.fr.
Methodology:
Analyzes FASTA files to detect sequence types, communicates with Galaxy via its API or the Bioblend library, and executes tools or workflows on the Institut Pasteur cluster with scalable execution across multiple computational nodes.
Topics
Collections
Details
- Maturity:
- Mature
- Tool Type:
- web application
- Added:
- 12/19/2016
- Last Updated:
- 6/16/2020
Operations
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.