getletterdistribution1
getletterdistribution1 calculates nucleotide distribution per position across short reads to analyze sequence composition in mapped RNA-Seq data.
Key Features:
- Per-position nucleotide distribution: Calculates nucleotide frequencies at each position across all short reads from mapped RNA-Seq data.
- Comprehensive read-level analysis: Performs analyses required for interpreting mapped RNA-Seq reads and sequence composition.
- Efficiency and performance: Processes large datasets efficiently and is reported to handle gigabytes of data with results attainable within an hour.
- Integration and automation: Provides a complete analysis workflow that removes the need for additional external scripts.
- Identification of important loci: Supports detection of significant genomic loci from mapped read distributions.
Scientific Applications:
- RNA-Seq data analysis: Used to assess sequence composition and positional nucleotide biases in mapped RNA-Seq datasets.
- Gene expression and transcript variant assessment: Supports downstream interpretation relevant to gene expression patterns and transcript variants.
- Genomic feature discovery: Aids identification and characterization of genomic loci and other sequence-based features from mapped reads.
Methodology:
Analyzes mapped RNA-Seq data to calculate nucleotide distributions per position across all short reads.
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
Sequence composition calculation
Publications
Zytnicki M, Quesneville H. S-MART, A Software Toolbox to Aid RNA-seq Data Analysis. PLoS ONE. 2011;6(10):e25988. doi:10.1371/journal.pone.0025988. PMID:21998740. PMCID:PMC3188586.
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.