compute_sequence_length
compute_sequence_length appends the length of nucleotide or protein sequences to FASTA headers to provide immediate sequence length information for downstream analyses such as comparative genomics and transcriptome analysis of next-generation sequencing data.
Key Features:
- Header Augmentation: Calculates and appends the length of nucleotide or protein sequences to their respective FASTA headers.
- Automated Processing: Processes FASTA files automatically to compute and annotate sequence lengths.
- Galaxy Project Integration: Implemented to run within the Galaxy project framework.
- Scalability for High-Throughput Data: Designed to handle high-throughput sequencing datasets generated by next-generation sequencing technologies.
Scientific Applications:
- Facilitating Large-Scale Biomedical Analyses: Provides immediate sequence length information useful for comparative genomics, transcriptome analysis, and other large-scale data-intensive studies using next-generation sequencing.
- Enhancing Data Transparency and Reproducibility: Integration with the Galaxy project enables automatic tracking of computational analyses, supporting transparency and reproducibility.
Methodology:
Automatically calculates sequence lengths for nucleotide and protein entries and appends them to FASTA headers; implemented to operate within the Galaxy project framework and scaled for high-throughput next-generation sequencing datasets.
Topics
Collections
Details
- Maturity:
- Mature
- Tool Type:
- web application
- Operating Systems:
- Linux, Windows, Mac
- Added:
- 12/19/2016
- Last Updated:
- 11/25/2024
Operations
Data Inputs & Outputs
Data handling
Inputs
Outputs
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.